mirror of
https://github.com/tesseract-ocr/tesseract.git
synced 2024-11-27 20:59:36 +08:00
Changes to training for 3.00
git-svn-id: https://tesseract-ocr.googlecode.com/svn/trunk@302 d0cd1f9f-072b-0410-8dd7-cf729c803f20
This commit is contained in:
theraysmith
parent
0a9ad20d1c
commit
5b79487a8e
@ -7,48 +7,55 @@ AM_CPPFLAGS = \
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-I$(top_srcdir)/wordrec -I$(top_srcdir)/cutil \
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-I$(top_srcdir)/textord
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EXTRA_DIST = training.cpp unicharset_extractor.dsp wordlist2dawg.dsp \
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cntraining.dsp mftraining.dsp \
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unicharset_extractor.vcproj wordlist2dawg.vcproj \
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EXTRA_DIST = unicharset_extractor.vcproj wordlist2dawg.vcproj \
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cntraining.vcproj mftraining.vcproj
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include_HEADERS = \
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mergenf.h name2char.h training.h
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commontraining.h mergenf.h name2char.h
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lib_LIBRARIES = libtesseract_training.a
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libtesseract_training_a_SOURCES = \
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name2char.cpp
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name2char.cpp commontraining.cpp
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bin_PROGRAMS = cntraining mftraining unicharset_extractor wordlist2dawg
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cntraining_SOURCES = cnTraining.cpp
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bin_PROGRAMS = cntraining combine_tessdata mftraining unicharset_extractor wordlist2dawg
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combine_tessdata_SOURCES = combine_tessdata.cpp
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combine_tessdata_LDADD = \
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../ccutil/libtesseract_ccutil.a
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cntraining_SOURCES = cntraining.cpp
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cntraining_LDADD = \
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libtesseract_training.a \
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../textord/libtesseract_textord.a \
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../classify/libtesseract_classify.a \
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../dict/libtesseract_dict.a \
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../ccstruct/libtesseract_ccstruct.a \
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../image/libtesseract_image.a \
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../cutil/libtesseract_cutil.a \
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../ccstruct/libtesseract_ccstruct.a \
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../viewer/libtesseract_viewer.a \
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../ccutil/libtesseract_ccutil.a
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mftraining_SOURCES = mfTraining.cpp mergenf.cpp
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mftraining_SOURCES = mftraining.cpp mergenf.cpp
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mftraining_LDADD = \
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libtesseract_training.a \
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../textord/libtesseract_textord.a \
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../classify/libtesseract_classify.a \
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../dict/libtesseract_dict.a \
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../ccstruct/libtesseract_ccstruct.a \
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../image/libtesseract_image.a \
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../cutil/libtesseract_cutil.a \
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../ccstruct/libtesseract_ccstruct.a \
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../viewer/libtesseract_viewer.a \
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../ccutil/libtesseract_ccutil.a
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unicharset_extractor_SOURCES = unicharset_extractor.cpp
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unicharset_extractor_LDADD = \
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../ccutil/libtesseract_ccutil.a
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wordlist2dawg_SOURCES = wordlist2dawg.cpp
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wordlist2dawg_LDADD = \
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../classify/libtesseract_classify.a \
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../dict/libtesseract_dict.a \
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../cutil/libtesseract_cutil.a \
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../ccstruct/libtesseract_ccstruct.a \
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../image/libtesseract_image.a \
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../cutil/libtesseract_cutil.a \
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../viewer/libtesseract_viewer.a \
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../ccutil/libtesseract_ccutil.a
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@ -34,8 +34,9 @@ PRE_UNINSTALL = :
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POST_UNINSTALL = :
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build_triplet = @build@
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host_triplet = @host@
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bin_PROGRAMS = cntraining$(EXEEXT) mftraining$(EXEEXT) \
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unicharset_extractor$(EXEEXT) wordlist2dawg$(EXEEXT)
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bin_PROGRAMS = cntraining$(EXEEXT) combine_tessdata$(EXEEXT) \
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mftraining$(EXEEXT) unicharset_extractor$(EXEEXT) \
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wordlist2dawg$(EXEEXT)
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subdir = training
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DIST_COMMON = $(include_HEADERS) $(srcdir)/Makefile.am \
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$(srcdir)/Makefile.in
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@ -61,29 +62,33 @@ AR = ar
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ARFLAGS = cru
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libtesseract_training_a_AR = $(AR) $(ARFLAGS)
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libtesseract_training_a_LIBADD =
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am_libtesseract_training_a_OBJECTS = name2char.$(OBJEXT)
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am_libtesseract_training_a_OBJECTS = name2char.$(OBJEXT) \
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commontraining.$(OBJEXT)
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libtesseract_training_a_OBJECTS = \
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$(am_libtesseract_training_a_OBJECTS)
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binPROGRAMS_INSTALL = $(INSTALL_PROGRAM)
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PROGRAMS = $(bin_PROGRAMS)
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am_cntraining_OBJECTS = cnTraining.$(OBJEXT)
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am_cntraining_OBJECTS = cntraining.$(OBJEXT)
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cntraining_OBJECTS = $(am_cntraining_OBJECTS)
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cntraining_DEPENDENCIES = libtesseract_training.a \
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../textord/libtesseract_textord.a \
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../classify/libtesseract_classify.a \
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../dict/libtesseract_dict.a ../image/libtesseract_image.a \
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../cutil/libtesseract_cutil.a \
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../dict/libtesseract_dict.a \
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../ccstruct/libtesseract_ccstruct.a \
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../image/libtesseract_image.a ../cutil/libtesseract_cutil.a \
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../viewer/libtesseract_viewer.a \
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../ccutil/libtesseract_ccutil.a
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am_mftraining_OBJECTS = mfTraining.$(OBJEXT) mergenf.$(OBJEXT)
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am_combine_tessdata_OBJECTS = combine_tessdata.$(OBJEXT)
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combine_tessdata_OBJECTS = $(am_combine_tessdata_OBJECTS)
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combine_tessdata_DEPENDENCIES = ../ccutil/libtesseract_ccutil.a
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am_mftraining_OBJECTS = mftraining.$(OBJEXT) mergenf.$(OBJEXT)
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mftraining_OBJECTS = $(am_mftraining_OBJECTS)
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mftraining_DEPENDENCIES = libtesseract_training.a \
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../textord/libtesseract_textord.a \
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../classify/libtesseract_classify.a \
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../dict/libtesseract_dict.a ../image/libtesseract_image.a \
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../cutil/libtesseract_cutil.a \
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../dict/libtesseract_dict.a \
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../ccstruct/libtesseract_ccstruct.a \
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../image/libtesseract_image.a ../cutil/libtesseract_cutil.a \
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../viewer/libtesseract_viewer.a \
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../ccutil/libtesseract_ccutil.a
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am_unicharset_extractor_OBJECTS = unicharset_extractor.$(OBJEXT)
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@ -91,9 +96,10 @@ unicharset_extractor_OBJECTS = $(am_unicharset_extractor_OBJECTS)
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unicharset_extractor_DEPENDENCIES = ../ccutil/libtesseract_ccutil.a
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am_wordlist2dawg_OBJECTS = wordlist2dawg.$(OBJEXT)
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wordlist2dawg_OBJECTS = $(am_wordlist2dawg_OBJECTS)
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wordlist2dawg_DEPENDENCIES = ../dict/libtesseract_dict.a \
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../cutil/libtesseract_cutil.a \
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wordlist2dawg_DEPENDENCIES = ../classify/libtesseract_classify.a \
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../dict/libtesseract_dict.a \
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../ccstruct/libtesseract_ccstruct.a \
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../image/libtesseract_image.a ../cutil/libtesseract_cutil.a \
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../viewer/libtesseract_viewer.a \
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../ccutil/libtesseract_ccutil.a
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DEFAULT_INCLUDES = -I.@am__isrc@ -I$(top_builddir)
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@ -105,11 +111,12 @@ CXXLD = $(CXX)
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CXXLINK = $(CXXLD) $(AM_CXXFLAGS) $(CXXFLAGS) $(AM_LDFLAGS) $(LDFLAGS) \
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-o $@
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SOURCES = $(libtesseract_training_a_SOURCES) $(cntraining_SOURCES) \
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$(combine_tessdata_SOURCES) $(mftraining_SOURCES) \
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$(unicharset_extractor_SOURCES) $(wordlist2dawg_SOURCES)
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DIST_SOURCES = $(libtesseract_training_a_SOURCES) \
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$(cntraining_SOURCES) $(combine_tessdata_SOURCES) \
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$(mftraining_SOURCES) $(unicharset_extractor_SOURCES) \
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$(wordlist2dawg_SOURCES)
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DIST_SOURCES = $(libtesseract_training_a_SOURCES) \
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$(cntraining_SOURCES) $(mftraining_SOURCES) \
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$(unicharset_extractor_SOURCES) $(wordlist2dawg_SOURCES)
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RECURSIVE_TARGETS = all-recursive check-recursive dvi-recursive \
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html-recursive info-recursive install-data-recursive \
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install-dvi-recursive install-exec-recursive \
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@ -237,39 +244,41 @@ AM_CPPFLAGS = \
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-I$(top_srcdir)/wordrec -I$(top_srcdir)/cutil \
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-I$(top_srcdir)/textord
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EXTRA_DIST = training.cpp unicharset_extractor.dsp wordlist2dawg.dsp \
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cntraining.dsp mftraining.dsp \
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unicharset_extractor.vcproj wordlist2dawg.vcproj \
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EXTRA_DIST = unicharset_extractor.vcproj wordlist2dawg.vcproj \
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cntraining.vcproj mftraining.vcproj
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include_HEADERS = \
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mergenf.h name2char.h training.h
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commontraining.h mergenf.h name2char.h
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lib_LIBRARIES = libtesseract_training.a
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libtesseract_training_a_SOURCES = \
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name2char.cpp
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name2char.cpp commontraining.cpp
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cntraining_SOURCES = cnTraining.cpp
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combine_tessdata_SOURCES = combine_tessdata.cpp
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combine_tessdata_LDADD = \
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../ccutil/libtesseract_ccutil.a
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cntraining_SOURCES = cntraining.cpp
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cntraining_LDADD = \
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libtesseract_training.a \
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../textord/libtesseract_textord.a \
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../classify/libtesseract_classify.a \
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../dict/libtesseract_dict.a \
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../ccstruct/libtesseract_ccstruct.a \
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../image/libtesseract_image.a \
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../cutil/libtesseract_cutil.a \
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../ccstruct/libtesseract_ccstruct.a \
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../viewer/libtesseract_viewer.a \
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../ccutil/libtesseract_ccutil.a
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mftraining_SOURCES = mfTraining.cpp mergenf.cpp
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mftraining_SOURCES = mftraining.cpp mergenf.cpp
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mftraining_LDADD = \
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libtesseract_training.a \
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../textord/libtesseract_textord.a \
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../classify/libtesseract_classify.a \
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../dict/libtesseract_dict.a \
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../ccstruct/libtesseract_ccstruct.a \
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../image/libtesseract_image.a \
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../cutil/libtesseract_cutil.a \
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../ccstruct/libtesseract_ccstruct.a \
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../viewer/libtesseract_viewer.a \
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../ccutil/libtesseract_ccutil.a
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@ -279,9 +288,11 @@ unicharset_extractor_LDADD = \
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wordlist2dawg_SOURCES = wordlist2dawg.cpp
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wordlist2dawg_LDADD = \
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../classify/libtesseract_classify.a \
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../dict/libtesseract_dict.a \
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../cutil/libtesseract_cutil.a \
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../ccstruct/libtesseract_ccstruct.a \
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../image/libtesseract_image.a \
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../cutil/libtesseract_cutil.a \
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../viewer/libtesseract_viewer.a \
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../ccutil/libtesseract_ccutil.a
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@ -377,6 +388,9 @@ clean-binPROGRAMS:
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cntraining$(EXEEXT): $(cntraining_OBJECTS) $(cntraining_DEPENDENCIES)
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@rm -f cntraining$(EXEEXT)
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$(CXXLINK) $(cntraining_OBJECTS) $(cntraining_LDADD) $(LIBS)
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combine_tessdata$(EXEEXT): $(combine_tessdata_OBJECTS) $(combine_tessdata_DEPENDENCIES)
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@rm -f combine_tessdata$(EXEEXT)
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$(CXXLINK) $(combine_tessdata_OBJECTS) $(combine_tessdata_LDADD) $(LIBS)
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mftraining$(EXEEXT): $(mftraining_OBJECTS) $(mftraining_DEPENDENCIES)
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@rm -f mftraining$(EXEEXT)
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$(CXXLINK) $(mftraining_OBJECTS) $(mftraining_LDADD) $(LIBS)
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@ -393,9 +407,11 @@ mostlyclean-compile:
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distclean-compile:
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-rm -f *.tab.c
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@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/cnTraining.Po@am__quote@
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@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/cntraining.Po@am__quote@
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@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/combine_tessdata.Po@am__quote@
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@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/commontraining.Po@am__quote@
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@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/mergenf.Po@am__quote@
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@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/mfTraining.Po@am__quote@
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@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/mftraining.Po@am__quote@
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@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/name2char.Po@am__quote@
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@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/unicharset_extractor.Po@am__quote@
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@AMDEP_TRUE@@am__include@ @am__quote@./$(DEPDIR)/wordlist2dawg.Po@am__quote@
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@ -1,855 +0,0 @@
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/******************************************************************************
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** Filename: cnTraining.cpp
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** Purpose: Generates a normproto and pffmtable.
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** Author: Dan Johnson
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** Revisment: Christy Russon
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** History: Fri Aug 18 08:53:50 1989, DSJ, Created.
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** 5/25/90, DSJ, Adapted to multiple feature types.
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** Tuesday, May 17, 1998 Changes made to make feature specific and
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** simplify structures. First step in simplifying training process.
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**
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** (c) Copyright Hewlett-Packard Company, 1988.
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** Licensed under the Apache License, Version 2.0 (the "License");
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** you may not use this file except in compliance with the License.
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** You may obtain a copy of the License at
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** http://www.apache.org/licenses/LICENSE-2.0
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** Unless required by applicable law or agreed to in writing, software
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** distributed under the License is distributed on an "AS IS" BASIS,
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** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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** See the License for the specific language governing permissions and
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** limitations under the License.
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******************************************************************************/
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/**----------------------------------------------------------------------------
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Include Files and Type Defines
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----------------------------------------------------------------------------**/
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#include "oldlist.h"
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#include "efio.h"
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#include "emalloc.h"
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#include "featdefs.h"
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#include "tessopt.h"
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#include "ocrfeatures.h"
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#include "general.h"
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#include "clusttool.h"
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#include "cluster.h"
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#include "name2char.h"
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#include <string.h>
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#include <stdio.h>
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#include <math.h>
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#include "unichar.h"
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#define MAXNAMESIZE 80
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#define MAX_NUM_SAMPLES 10000
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#define PROGRAM_FEATURE_TYPE "cn"
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#define MINSD (1.0f / 64.0f)
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int row_number; /* cjn: fixes link problem */
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typedef struct
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{
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char *Label;
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int SampleCount;
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LIST List;
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}
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LABELEDLISTNODE, *LABELEDLIST;
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#define round(x,frag)(floor(x/frag+.5)*frag)
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/**----------------------------------------------------------------------------
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Public Function Prototypes
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----------------------------------------------------------------------------**/
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int main (
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int argc,
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char **argv);
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/**----------------------------------------------------------------------------
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Private Function Prototypes
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----------------------------------------------------------------------------**/
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void ParseArguments(
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int argc,
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char **argv);
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char *GetNextFilename ();
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void ReadTrainingSamples (
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FILE *File,
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LIST* TrainingSamples);
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LABELEDLIST FindList (
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LIST List,
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char *Label);
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LABELEDLIST NewLabeledList (
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char *Label);
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void WriteTrainingSamples (
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char *Directory,
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LIST CharList);
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void WriteNormProtos (
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char *Directory,
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LIST LabeledProtoList,
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CLUSTERER *Clusterer);
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void FreeTrainingSamples (
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LIST CharList);
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void FreeNormProtoList (
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LIST CharList);
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void FreeLabeledList (
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LABELEDLIST LabeledList);
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CLUSTERER *SetUpForClustering(
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LABELEDLIST CharSample);
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/*
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PARAMDESC *ConvertToPARAMDESC(
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PARAM_DESC* Param_Desc,
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int N);
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*/
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void AddToNormProtosList(
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LIST* NormProtoList,
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LIST ProtoList,
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char* CharName);
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void WriteProtos(
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FILE *File,
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uinT16 N,
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LIST ProtoList,
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BOOL8 WriteSigProtos,
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BOOL8 WriteInsigProtos);
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int NumberOfProtos(
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LIST ProtoList,
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BOOL8 CountSigProtos,
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BOOL8 CountInsigProtos);
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/**----------------------------------------------------------------------------
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Global Data Definitions and Declarations
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----------------------------------------------------------------------------**/
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static char FontName[MAXNAMESIZE];
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/* globals used for parsing command line arguments */
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static char *Directory = NULL;
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static int MaxNumSamples = MAX_NUM_SAMPLES;
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static int Argc;
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static char **Argv;
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/* globals used to control what information is saved in the output file */
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static BOOL8 ShowAllSamples = FALSE;
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static BOOL8 ShowSignificantProtos = TRUE;
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static BOOL8 ShowInsignificantProtos = FALSE;
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/* global variable to hold configuration parameters to control clustering */
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//-M 0.025 -B 0.05 -I 0.8 -C 1e-3
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static CLUSTERCONFIG Config =
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{
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elliptical, 0.025, 0.05, 0.8, 1e-3, 0
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};
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||||
static FLOAT32 RoundingAccuracy = 0.0;
|
||||
|
||||
/**----------------------------------------------------------------------------
|
||||
Public Code
|
||||
----------------------------------------------------------------------------**/
|
||||
/*---------------------------------------------------------------------------*/
|
||||
int main (
|
||||
int argc,
|
||||
char **argv)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** argc number of command line arguments
|
||||
** argv array of command line arguments
|
||||
** Globals: none
|
||||
** Operation:
|
||||
** This program reads in a text file consisting of feature
|
||||
** samples from a training page in the following format:
|
||||
**
|
||||
** FontName CharName NumberOfFeatureTypes(N)
|
||||
** FeatureTypeName1 NumberOfFeatures(M)
|
||||
** Feature1
|
||||
** ...
|
||||
** FeatureM
|
||||
** FeatureTypeName2 NumberOfFeatures(M)
|
||||
** Feature1
|
||||
** ...
|
||||
** FeatureM
|
||||
** ...
|
||||
** FeatureTypeNameN NumberOfFeatures(M)
|
||||
** Feature1
|
||||
** ...
|
||||
** FeatureM
|
||||
** FontName CharName ...
|
||||
**
|
||||
** It then appends these samples into a separate file for each
|
||||
** character. The name of the file is
|
||||
**
|
||||
** DirectoryName/FontName/CharName.FeatureTypeName
|
||||
**
|
||||
** The DirectoryName can be specified via a command
|
||||
** line argument. If not specified, it defaults to the
|
||||
** current directory. The format of the resulting files is:
|
||||
**
|
||||
** NumberOfFeatures(M)
|
||||
** Feature1
|
||||
** ...
|
||||
** FeatureM
|
||||
** NumberOfFeatures(M)
|
||||
** ...
|
||||
**
|
||||
** The output files each have a header which describes the
|
||||
** type of feature which the file contains. This header is
|
||||
** in the format required by the clusterer. A command line
|
||||
** argument can also be used to specify that only the first
|
||||
** N samples of each class should be used.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 08:56:17 1989, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
char *PageName;
|
||||
FILE *TrainingPage;
|
||||
LIST CharList = NIL;
|
||||
CLUSTERER *Clusterer = NULL;
|
||||
LIST ProtoList = NIL;
|
||||
LIST NormProtoList = NIL;
|
||||
LIST pCharList;
|
||||
LABELEDLIST CharSample;
|
||||
|
||||
ParseArguments (argc, argv);
|
||||
while ((PageName = GetNextFilename()) != NULL)
|
||||
{
|
||||
printf ("Reading %s ...\n", PageName);
|
||||
TrainingPage = Efopen (PageName, "r");
|
||||
ReadTrainingSamples (TrainingPage, &CharList);
|
||||
fclose (TrainingPage);
|
||||
//WriteTrainingSamples (Directory, CharList);
|
||||
}
|
||||
printf("Clustering ...\n");
|
||||
pCharList = CharList;
|
||||
iterate(pCharList)
|
||||
{
|
||||
//Cluster
|
||||
CharSample = (LABELEDLIST) first_node (pCharList);
|
||||
//printf ("\nClustering %s ...", CharSample->Label);
|
||||
Clusterer = SetUpForClustering(CharSample);
|
||||
float SavedMinSamples = Config.MinSamples;
|
||||
Config.MagicSamples = CharSample->SampleCount;
|
||||
while (Config.MinSamples > 0.001) {
|
||||
ProtoList = ClusterSamples(Clusterer, &Config);
|
||||
if (NumberOfProtos(ProtoList, 1, 0) > 0)
|
||||
break;
|
||||
else {
|
||||
Config.MinSamples *= 0.95;
|
||||
printf("0 significant protos for %s."
|
||||
" Retrying clustering with MinSamples = %f%%\n",
|
||||
CharSample->Label, Config.MinSamples);
|
||||
}
|
||||
}
|
||||
Config.MinSamples = SavedMinSamples;
|
||||
AddToNormProtosList(&NormProtoList, ProtoList, CharSample->Label);
|
||||
}
|
||||
FreeTrainingSamples (CharList);
|
||||
WriteNormProtos (Directory, NormProtoList, Clusterer);
|
||||
FreeClusterer(Clusterer);
|
||||
FreeProtoList(&ProtoList);
|
||||
FreeNormProtoList(NormProtoList);
|
||||
printf ("\n");
|
||||
return 0;
|
||||
} // main
|
||||
|
||||
|
||||
/**----------------------------------------------------------------------------
|
||||
Private Code
|
||||
----------------------------------------------------------------------------**/
|
||||
/*---------------------------------------------------------------------------*/
|
||||
void ParseArguments(
|
||||
int argc,
|
||||
char **argv)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** argc number of command line arguments to parse
|
||||
** argv command line arguments
|
||||
** Globals:
|
||||
** ShowAllSamples flag controlling samples display
|
||||
** ShowSignificantProtos flag controlling proto display
|
||||
** ShowInsignificantProtos flag controlling proto display
|
||||
** Config current clustering parameters
|
||||
** tessoptarg, tessoptind defined by tessopt sys call
|
||||
** Argc, Argv global copies of argc and argv
|
||||
** Operation:
|
||||
** This routine parses the command line arguments that were
|
||||
** passed to the program. The legal arguments are:
|
||||
** -d "turn off display of samples"
|
||||
** -p "turn off significant protos"
|
||||
** -n "turn off insignificant proto"
|
||||
** -S [ spherical | elliptical | mixed | automatic ]
|
||||
** -M MinSamples "min samples per prototype (%)"
|
||||
** -B MaxIllegal "max illegal chars per cluster (%)"
|
||||
** -I Independence "0 to 1"
|
||||
** -C Confidence "1e-200 to 1.0"
|
||||
** -D Directory
|
||||
** -N MaxNumSamples
|
||||
** -R RoundingAccuracy
|
||||
** Return: none
|
||||
** Exceptions: Illegal options terminate the program.
|
||||
** History: 7/24/89, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
int Option;
|
||||
int ParametersRead;
|
||||
BOOL8 Error;
|
||||
|
||||
Error = FALSE;
|
||||
Argc = argc;
|
||||
Argv = argv;
|
||||
while (( Option = tessopt( argc, argv, "R:N:D:C:I:M:B:S:d:n:p" )) != EOF )
|
||||
{
|
||||
switch ( Option )
|
||||
{
|
||||
case 'n':
|
||||
sscanf(tessoptarg,"%d", &ParametersRead);
|
||||
ShowInsignificantProtos = ParametersRead;
|
||||
break;
|
||||
case 'p':
|
||||
sscanf(tessoptarg,"%d", &ParametersRead);
|
||||
ShowSignificantProtos = ParametersRead;
|
||||
break;
|
||||
case 'd':
|
||||
ShowAllSamples = FALSE;
|
||||
break;
|
||||
case 'C':
|
||||
ParametersRead = sscanf( tessoptarg, "%lf", &(Config.Confidence) );
|
||||
if ( ParametersRead != 1 ) Error = TRUE;
|
||||
else if ( Config.Confidence > 1 ) Config.Confidence = 1;
|
||||
else if ( Config.Confidence < 0 ) Config.Confidence = 0;
|
||||
break;
|
||||
case 'I':
|
||||
ParametersRead = sscanf( tessoptarg, "%f", &(Config.Independence) );
|
||||
if ( ParametersRead != 1 ) Error = TRUE;
|
||||
else if ( Config.Independence > 1 ) Config.Independence = 1;
|
||||
else if ( Config.Independence < 0 ) Config.Independence = 0;
|
||||
break;
|
||||
case 'M':
|
||||
ParametersRead = sscanf( tessoptarg, "%f", &(Config.MinSamples) );
|
||||
if ( ParametersRead != 1 ) Error = TRUE;
|
||||
else if ( Config.MinSamples > 1 ) Config.MinSamples = 1;
|
||||
else if ( Config.MinSamples < 0 ) Config.MinSamples = 0;
|
||||
break;
|
||||
case 'B':
|
||||
ParametersRead = sscanf( tessoptarg, "%f", &(Config.MaxIllegal) );
|
||||
if ( ParametersRead != 1 ) Error = TRUE;
|
||||
else if ( Config.MaxIllegal > 1 ) Config.MaxIllegal = 1;
|
||||
else if ( Config.MaxIllegal < 0 ) Config.MaxIllegal = 0;
|
||||
break;
|
||||
case 'R':
|
||||
ParametersRead = sscanf( tessoptarg, "%f", &RoundingAccuracy );
|
||||
if ( ParametersRead != 1 ) Error = TRUE;
|
||||
else if ( RoundingAccuracy > 0.01 ) RoundingAccuracy = 0.01;
|
||||
else if ( RoundingAccuracy < 0.0 ) RoundingAccuracy = 0.0;
|
||||
break;
|
||||
case 'S':
|
||||
switch ( tessoptarg[0] )
|
||||
{
|
||||
case 's': Config.ProtoStyle = spherical; break;
|
||||
case 'e': Config.ProtoStyle = elliptical; break;
|
||||
case 'm': Config.ProtoStyle = mixed; break;
|
||||
case 'a': Config.ProtoStyle = automatic; break;
|
||||
default: Error = TRUE;
|
||||
}
|
||||
break;
|
||||
case 'D':
|
||||
Directory = tessoptarg;
|
||||
break;
|
||||
case 'N':
|
||||
if (sscanf (tessoptarg, "%d", &MaxNumSamples) != 1 ||
|
||||
MaxNumSamples <= 0)
|
||||
Error = TRUE;
|
||||
break;
|
||||
case '?':
|
||||
Error = TRUE;
|
||||
break;
|
||||
}
|
||||
if ( Error )
|
||||
{
|
||||
fprintf (stderr, "usage: %s [-D] [-P] [-N]\n", argv[0] );
|
||||
fprintf (stderr, "\t[-S ProtoStyle]\n");
|
||||
fprintf (stderr, "\t[-M MinSamples] [-B MaxBad] [-I Independence] [-C Confidence]\n" );
|
||||
fprintf (stderr, "\t[-d directory] [-n MaxNumSamples] [ TrainingPage ... ]\n");
|
||||
exit (2);
|
||||
}
|
||||
}
|
||||
} /* ParseArguments */
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
char *GetNextFilename ()
|
||||
/*
|
||||
** Parameters: none
|
||||
** Globals:
|
||||
** tessoptind defined by tessopt sys call
|
||||
** Argc, Argv global copies of argc and argv
|
||||
** Operation:
|
||||
** This routine returns the next command line argument. If
|
||||
** there are no remaining command line arguments, it returns
|
||||
** NULL. This routine should only be called after all option
|
||||
** arguments have been parsed and removed with ParseArguments.
|
||||
** Return: Next command line argument or NULL.
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 09:34:12 1989, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
if (tessoptind < Argc)
|
||||
return (Argv [tessoptind++]);
|
||||
else
|
||||
return (NULL);
|
||||
|
||||
} /* GetNextFilename */
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
void ReadTrainingSamples (
|
||||
FILE *File,
|
||||
LIST* TrainingSamples)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** File open text file to read samples from
|
||||
** Globals: none
|
||||
** Operation:
|
||||
** This routine reads training samples from a file and
|
||||
** places them into a data structure which organizes the
|
||||
** samples by FontName and CharName. It then returns this
|
||||
** data structure.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 13:11:39 1989, DSJ, Created.
|
||||
** Tue May 17 1998 simplifications to structure, illiminated
|
||||
** font, and feature specification levels of structure.
|
||||
*/
|
||||
|
||||
{
|
||||
char unichar[UNICHAR_LEN + 1];
|
||||
LABELEDLIST CharSample;
|
||||
FEATURE_SET FeatureSamples;
|
||||
CHAR_DESC CharDesc;
|
||||
int Type, i;
|
||||
|
||||
while (fscanf (File, "%s %s", FontName, unichar) == 2) {
|
||||
CharSample = FindList (*TrainingSamples, unichar);
|
||||
if (CharSample == NULL) {
|
||||
CharSample = NewLabeledList (unichar);
|
||||
*TrainingSamples = push (*TrainingSamples, CharSample);
|
||||
}
|
||||
CharDesc = ReadCharDescription (File);
|
||||
Type = ShortNameToFeatureType(PROGRAM_FEATURE_TYPE);
|
||||
FeatureSamples = CharDesc->FeatureSets[Type];
|
||||
for (int feature = 0; feature < FeatureSamples->NumFeatures; ++feature) {
|
||||
FEATURE f = FeatureSamples->Features[feature];
|
||||
for (int dim =0; dim < f->Type->NumParams; ++dim)
|
||||
f->Params[dim] += UniformRandomNumber(-MINSD, MINSD);
|
||||
}
|
||||
CharSample->List = push (CharSample->List, FeatureSamples);
|
||||
CharSample->SampleCount++;
|
||||
for (i = 0; i < CharDesc->NumFeatureSets; i++)
|
||||
if (Type != i)
|
||||
FreeFeatureSet(CharDesc->FeatureSets[i]);
|
||||
free (CharDesc);
|
||||
}
|
||||
} // ReadTrainingSamples
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
LABELEDLIST FindList (
|
||||
LIST List,
|
||||
char *Label)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** List list to search
|
||||
** Label label to search for
|
||||
** Globals: none
|
||||
** Operation:
|
||||
** This routine searches thru a list of labeled lists to find
|
||||
** a list with the specified label. If a matching labeled list
|
||||
** cannot be found, NULL is returned.
|
||||
** Return: Labeled list with the specified Label or NULL.
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 15:57:41 1989, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
LABELEDLIST LabeledList;
|
||||
|
||||
iterate (List)
|
||||
{
|
||||
LabeledList = (LABELEDLIST) first_node (List);
|
||||
if (strcmp (LabeledList->Label, Label) == 0)
|
||||
return (LabeledList);
|
||||
}
|
||||
return (NULL);
|
||||
|
||||
} /* FindList */
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
LABELEDLIST NewLabeledList (
|
||||
char *Label)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** Label label for new list
|
||||
** Globals: none
|
||||
** Operation:
|
||||
** This routine allocates a new, empty labeled list and gives
|
||||
** it the specified label.
|
||||
** Return: New, empty labeled list.
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 16:08:46 1989, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
LABELEDLIST LabeledList;
|
||||
|
||||
LabeledList = (LABELEDLIST) (char*)Emalloc (sizeof (LABELEDLISTNODE));
|
||||
LabeledList->Label = (char*)Emalloc (strlen (Label)+1);
|
||||
strcpy (LabeledList->Label, Label);
|
||||
LabeledList->List = NIL;
|
||||
LabeledList->SampleCount = 0;
|
||||
return (LabeledList);
|
||||
|
||||
} /* NewLabeledList */
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
void WriteTrainingSamples (
|
||||
char *Directory,
|
||||
LIST CharList)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** Directory directory to place sample files into
|
||||
** FontList list of fonts used in the training samples
|
||||
** Globals:
|
||||
** MaxNumSamples max number of samples per class to write
|
||||
** Operation:
|
||||
** This routine writes the specified samples into files which
|
||||
** are organized according to the font name and character name
|
||||
** of the samples.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 16:17:06 1989, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
LABELEDLIST CharSample;
|
||||
FEATURE_SET FeatureSet;
|
||||
LIST FeatureList;
|
||||
FILE *File;
|
||||
char Filename[MAXNAMESIZE];
|
||||
int NumSamples;
|
||||
|
||||
iterate (CharList) // iterate thru all of the fonts
|
||||
{
|
||||
CharSample = (LABELEDLIST) first_node (CharList);
|
||||
|
||||
// construct the full pathname for the current samples file
|
||||
strcpy (Filename, "");
|
||||
if (Directory != NULL)
|
||||
{
|
||||
strcat (Filename, Directory);
|
||||
strcat (Filename, "/");
|
||||
}
|
||||
strcat (Filename, "Merged");
|
||||
strcat (Filename, "/");
|
||||
strcat (Filename, CharSample->Label);
|
||||
strcat (Filename, ".");
|
||||
strcat (Filename, PROGRAM_FEATURE_TYPE);
|
||||
printf ("\nWriting %s ...", Filename);
|
||||
|
||||
/* if file does not exist, create a new one with an appropriate
|
||||
header; otherwise append samples to the existing file */
|
||||
File = fopen (Filename, "r");
|
||||
if (File == NULL)
|
||||
{
|
||||
File = Efopen (Filename, "w");
|
||||
WriteOldParamDesc
|
||||
(File, FeatureDefs.FeatureDesc[ShortNameToFeatureType (PROGRAM_FEATURE_TYPE)]);
|
||||
}
|
||||
else
|
||||
{
|
||||
fclose (File);
|
||||
File = Efopen (Filename, "a");
|
||||
}
|
||||
|
||||
// append samples onto the file
|
||||
FeatureList = CharSample->List;
|
||||
NumSamples = 0;
|
||||
iterate (FeatureList)
|
||||
{
|
||||
//if (NumSamples >= MaxNumSamples) break;
|
||||
|
||||
FeatureSet = (FEATURE_SET) first_node (FeatureList);
|
||||
WriteFeatureSet (File, FeatureSet);
|
||||
NumSamples++;
|
||||
}
|
||||
fclose (File);
|
||||
}
|
||||
} /* WriteTrainingSamples */
|
||||
|
||||
|
||||
/*----------------------------------------------------------------------------*/
|
||||
void WriteNormProtos (
|
||||
char *Directory,
|
||||
LIST LabeledProtoList,
|
||||
CLUSTERER *Clusterer)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** Directory directory to place sample files into
|
||||
** Globals:
|
||||
** MaxNumSamples max number of samples per class to write
|
||||
** Operation:
|
||||
** This routine writes the specified samples into files which
|
||||
** are organized according to the font name and character name
|
||||
** of the samples.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 16:17:06 1989, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
FILE *File;
|
||||
char Filename[MAXNAMESIZE];
|
||||
LABELEDLIST LabeledProto;
|
||||
int N;
|
||||
|
||||
strcpy (Filename, "");
|
||||
if (Directory != NULL)
|
||||
{
|
||||
strcat (Filename, Directory);
|
||||
strcat (Filename, "/");
|
||||
}
|
||||
strcat (Filename, "normproto");
|
||||
printf ("\nWriting %s ...", Filename);
|
||||
File = Efopen (Filename, "w");
|
||||
fprintf(File,"%0d\n",Clusterer->SampleSize);
|
||||
WriteParamDesc(File,Clusterer->SampleSize,Clusterer->ParamDesc);
|
||||
iterate(LabeledProtoList)
|
||||
{
|
||||
LabeledProto = (LABELEDLIST) first_node (LabeledProtoList);
|
||||
N = NumberOfProtos(LabeledProto->List,
|
||||
ShowSignificantProtos, ShowInsignificantProtos);
|
||||
if (N < 1) {
|
||||
printf ("\nError! Not enough protos for %s: %d protos"
|
||||
" (%d significant protos"
|
||||
", %d insignificant protos)\n",
|
||||
LabeledProto->Label, N,
|
||||
NumberOfProtos(LabeledProto->List, 1, 0),
|
||||
NumberOfProtos(LabeledProto->List, 0, 1));
|
||||
exit(1);
|
||||
}
|
||||
fprintf(File, "\n%s %d\n", LabeledProto->Label, N);
|
||||
WriteProtos(File, Clusterer->SampleSize, LabeledProto->List,
|
||||
ShowSignificantProtos, ShowInsignificantProtos);
|
||||
}
|
||||
fclose (File);
|
||||
|
||||
} // WriteNormProtos
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
void FreeTrainingSamples (
|
||||
LIST CharList)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** FontList list of all fonts in document
|
||||
** Globals: none
|
||||
** Operation:
|
||||
** This routine deallocates all of the space allocated to
|
||||
** the specified list of training samples.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 17:44:27 1989, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
LABELEDLIST CharSample;
|
||||
FEATURE_SET FeatureSet;
|
||||
LIST FeatureList;
|
||||
|
||||
|
||||
printf ("\nFreeTrainingSamples...");
|
||||
iterate (CharList) /* iterate thru all of the fonts */
|
||||
{
|
||||
CharSample = (LABELEDLIST) first_node (CharList);
|
||||
FeatureList = CharSample->List;
|
||||
iterate (FeatureList) /* iterate thru all of the classes */
|
||||
{
|
||||
FeatureSet = (FEATURE_SET) first_node (FeatureList);
|
||||
FreeFeatureSet (FeatureSet);
|
||||
}
|
||||
FreeLabeledList (CharSample);
|
||||
}
|
||||
destroy (CharList);
|
||||
|
||||
} /* FreeTrainingSamples */
|
||||
|
||||
/*-------------------------------------------------------------------------*/
|
||||
void FreeNormProtoList (
|
||||
LIST CharList)
|
||||
|
||||
{
|
||||
LABELEDLIST CharSample;
|
||||
|
||||
iterate (CharList) /* iterate thru all of the fonts */
|
||||
{
|
||||
CharSample = (LABELEDLIST) first_node (CharList);
|
||||
FreeLabeledList (CharSample);
|
||||
}
|
||||
destroy (CharList);
|
||||
|
||||
} // FreeNormProtoList
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
void FreeLabeledList (
|
||||
LABELEDLIST LabeledList)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** LabeledList labeled list to be freed
|
||||
** Globals: none
|
||||
** Operation:
|
||||
** This routine deallocates all of the memory consumed by
|
||||
** a labeled list. It does not free any memory which may be
|
||||
** consumed by the items in the list.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 17:52:45 1989, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
destroy (LabeledList->List);
|
||||
free (LabeledList->Label);
|
||||
free (LabeledList);
|
||||
|
||||
} /* FreeLabeledList */
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
CLUSTERER *SetUpForClustering(
|
||||
LABELEDLIST CharSample)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** CharSample: LABELEDLIST that holds all the feature information for a
|
||||
** given character.
|
||||
** Globals:
|
||||
** None
|
||||
** Operation:
|
||||
** This routine reads samples from a LABELEDLIST and enters
|
||||
** those samples into a clusterer data structure. This
|
||||
** data structure is then returned to the caller.
|
||||
** Return:
|
||||
** Pointer to new clusterer data structure.
|
||||
** Exceptions:
|
||||
** None
|
||||
** History:
|
||||
** 8/16/89, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
uinT16 N;
|
||||
int i, j;
|
||||
FLOAT32 *Sample = NULL;
|
||||
CLUSTERER *Clusterer;
|
||||
inT32 CharID;
|
||||
LIST FeatureList = NULL;
|
||||
FEATURE_SET FeatureSet = NULL;
|
||||
FEATURE_DESC FeatureDesc = NULL;
|
||||
// PARAM_DESC* ParamDesc;
|
||||
|
||||
FeatureDesc = FeatureDefs.FeatureDesc[ShortNameToFeatureType(PROGRAM_FEATURE_TYPE)];
|
||||
N = FeatureDesc->NumParams;
|
||||
//ParamDesc = ConvertToPARAMDESC(FeatureDesc->ParamDesc, N);
|
||||
Clusterer = MakeClusterer(N,FeatureDesc->ParamDesc);
|
||||
// free(ParamDesc);
|
||||
|
||||
FeatureList = CharSample->List;
|
||||
CharID = 0;
|
||||
iterate(FeatureList)
|
||||
{
|
||||
FeatureSet = (FEATURE_SET) first_node (FeatureList);
|
||||
for (i=0; i < FeatureSet->MaxNumFeatures; i++)
|
||||
{
|
||||
if (Sample == NULL)
|
||||
Sample = (FLOAT32 *)Emalloc(N * sizeof(FLOAT32));
|
||||
for (j=0; j < N; j++)
|
||||
if (RoundingAccuracy != 0.0)
|
||||
Sample[j] = round(FeatureSet->Features[i]->Params[j], RoundingAccuracy);
|
||||
else
|
||||
Sample[j] = FeatureSet->Features[i]->Params[j];
|
||||
MakeSample (Clusterer, Sample, CharID);
|
||||
}
|
||||
CharID++;
|
||||
}
|
||||
if ( Sample != NULL ) free( Sample );
|
||||
return( Clusterer );
|
||||
|
||||
} /* SetUpForClustering */
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
void AddToNormProtosList(
|
||||
LIST* NormProtoList,
|
||||
LIST ProtoList,
|
||||
char* CharName)
|
||||
{
|
||||
PROTOTYPE* Proto;
|
||||
LABELEDLIST LabeledProtoList;
|
||||
|
||||
LabeledProtoList = NewLabeledList(CharName);
|
||||
iterate(ProtoList)
|
||||
{
|
||||
Proto = (PROTOTYPE *) first_node (ProtoList);
|
||||
LabeledProtoList->List = push(LabeledProtoList->List, Proto);
|
||||
}
|
||||
*NormProtoList = push(*NormProtoList, LabeledProtoList);
|
||||
}
|
||||
|
||||
/*-------------------------------------------------------------------------*/
|
||||
void WriteProtos(
|
||||
FILE *File,
|
||||
uinT16 N,
|
||||
LIST ProtoList,
|
||||
BOOL8 WriteSigProtos,
|
||||
BOOL8 WriteInsigProtos)
|
||||
{
|
||||
PROTOTYPE *Proto;
|
||||
|
||||
// write prototypes
|
||||
iterate(ProtoList)
|
||||
{
|
||||
Proto = (PROTOTYPE *) first_node ( ProtoList );
|
||||
if (( Proto->Significant && WriteSigProtos ) ||
|
||||
( ! Proto->Significant && WriteInsigProtos ) )
|
||||
WritePrototype( File, N, Proto );
|
||||
}
|
||||
} // WriteProtos
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
int NumberOfProtos(
|
||||
LIST ProtoList,
|
||||
BOOL8 CountSigProtos,
|
||||
BOOL8 CountInsigProtos)
|
||||
{
|
||||
int N = 0;
|
||||
PROTOTYPE *Proto;
|
||||
|
||||
iterate(ProtoList)
|
||||
{
|
||||
Proto = (PROTOTYPE *) first_node ( ProtoList );
|
||||
if (( Proto->Significant && CountSigProtos ) ||
|
||||
( ! Proto->Significant && CountInsigProtos ) )
|
||||
N++;
|
||||
}
|
||||
return(N);
|
||||
}
|
||||
@ -1,986 +0,0 @@
|
||||
<?xml version="1.0" encoding="Windows-1252"?>
|
||||
<VisualStudioProject
|
||||
ProjectType="Visual C++"
|
||||
Version="9.00"
|
||||
Name="cnTraining"
|
||||
ProjectGUID="{1AC769A4-E98E-48B9-B87B-90D7837031FA}"
|
||||
Keyword="MFCProj"
|
||||
TargetFrameworkVersion="131072"
|
||||
>
|
||||
<Platforms>
|
||||
<Platform
|
||||
Name="Win32"
|
||||
/>
|
||||
</Platforms>
|
||||
<ToolFiles>
|
||||
</ToolFiles>
|
||||
<Configurations>
|
||||
<Configuration
|
||||
Name="Release|Win32"
|
||||
OutputDirectory=".\."
|
||||
IntermediateDirectory=".\cntrain.Release"
|
||||
ConfigurationType="1"
|
||||
InheritedPropertySheets="$(VCInstallDir)VCProjectDefaults\UpgradeFromVC60.vsprops"
|
||||
UseOfMFC="0"
|
||||
ATLMinimizesCRunTimeLibraryUsage="false"
|
||||
>
|
||||
<Tool
|
||||
Name="VCPreBuildEventTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCCustomBuildTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCXMLDataGeneratorTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCWebServiceProxyGeneratorTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCMIDLTool"
|
||||
TypeLibraryName=".\./cnTraining.tlb"
|
||||
HeaderFileName=""
|
||||
/>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
Optimization="2"
|
||||
InlineFunctionExpansion="1"
|
||||
AdditionalIncludeDirectories="../ccutil,../ccstruct,../classify,../cutil,../training,../viewer,../dict"
|
||||
PreprocessorDefinitions="TRAINING;WIN32;_WINDOWS;__NT__;__MSW32__"
|
||||
StringPooling="true"
|
||||
RuntimeLibrary="2"
|
||||
EnableFunctionLevelLinking="true"
|
||||
PrecompiledHeaderFile=".\cntrain.Release/cnTraining.pch"
|
||||
AssemblerListingLocation=".\cntrain.Release/"
|
||||
ObjectFile=".\cntrain.Release/"
|
||||
ProgramDataBaseFileName=".\cntrain.Release/"
|
||||
BrowseInformation="2"
|
||||
BrowseInformationFile=".\cntrain.Release/"
|
||||
WarningLevel="3"
|
||||
SuppressStartupBanner="true"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCManagedResourceCompilerTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCResourceCompilerTool"
|
||||
PreprocessorDefinitions="NDEBUG"
|
||||
Culture="1033"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCPreLinkEventTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCLinkerTool"
|
||||
AdditionalDependencies="ws2_32.lib user32.lib"
|
||||
OutputFile="cnTraining.exe"
|
||||
LinkIncremental="1"
|
||||
SuppressStartupBanner="true"
|
||||
GenerateDebugInformation="false"
|
||||
SubSystem="1"
|
||||
RandomizedBaseAddress="1"
|
||||
DataExecutionPrevention="0"
|
||||
TargetMachine="1"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCALinkTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCManifestTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCXDCMakeTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCBscMakeTool"
|
||||
SuppressStartupBanner="true"
|
||||
OutputFile=".\./cnTraining.bsc"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCFxCopTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCAppVerifierTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCPostBuildEventTool"
|
||||
/>
|
||||
</Configuration>
|
||||
<Configuration
|
||||
Name="Debug|Win32"
|
||||
OutputDirectory=".\../bin.dbg"
|
||||
IntermediateDirectory=".\cntrain.Debug"
|
||||
ConfigurationType="1"
|
||||
InheritedPropertySheets="$(VCInstallDir)VCProjectDefaults\UpgradeFromVC60.vsprops"
|
||||
UseOfMFC="0"
|
||||
ATLMinimizesCRunTimeLibraryUsage="false"
|
||||
>
|
||||
<Tool
|
||||
Name="VCPreBuildEventTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCCustomBuildTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCXMLDataGeneratorTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCWebServiceProxyGeneratorTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCMIDLTool"
|
||||
TypeLibraryName=".\../bin.dbg/cnTraining.tlb"
|
||||
HeaderFileName=""
|
||||
/>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
Optimization="0"
|
||||
AdditionalIncludeDirectories="../ccutil,../ccstruct,../classify,../cutil,../training,../viewer,../dict"
|
||||
PreprocessorDefinitions="_DEBUG;TRAINING;WIN32;_WINDOWS;__NT__;__MSW32__"
|
||||
MinimalRebuild="true"
|
||||
RuntimeLibrary="3"
|
||||
PrecompiledHeaderFile=".\cntrain.Debug/cnTraining.pch"
|
||||
AssemblerListingLocation=".\cntrain.Debug/"
|
||||
ObjectFile=".\cntrain.Debug/"
|
||||
ProgramDataBaseFileName=".\cntrain.Debug/"
|
||||
BrowseInformation="1"
|
||||
WarningLevel="3"
|
||||
SuppressStartupBanner="true"
|
||||
DebugInformationFormat="4"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCManagedResourceCompilerTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCResourceCompilerTool"
|
||||
PreprocessorDefinitions="_DEBUG"
|
||||
Culture="1033"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCPreLinkEventTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCLinkerTool"
|
||||
AdditionalDependencies="ws2_32.lib user32.lib"
|
||||
OutputFile=".\../bin.dbg/cnTraining.exe"
|
||||
LinkIncremental="2"
|
||||
SuppressStartupBanner="true"
|
||||
GenerateDebugInformation="true"
|
||||
ProgramDatabaseFile=".\../bin.dbg/cnTraining.pdb"
|
||||
SubSystem="1"
|
||||
RandomizedBaseAddress="1"
|
||||
DataExecutionPrevention="0"
|
||||
TargetMachine="1"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCALinkTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCManifestTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCXDCMakeTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCBscMakeTool"
|
||||
SuppressStartupBanner="true"
|
||||
OutputFile=".\../bin.dbg/cnTraining.bsc"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCFxCopTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCAppVerifierTool"
|
||||
/>
|
||||
<Tool
|
||||
Name="VCPostBuildEventTool"
|
||||
/>
|
||||
</Configuration>
|
||||
</Configurations>
|
||||
<References>
|
||||
</References>
|
||||
<Files>
|
||||
<File
|
||||
RelativePath="..\ccutil\clst.cpp"
|
||||
>
|
||||
<FileConfiguration
|
||||
Name="Release|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
<FileConfiguration
|
||||
Name="Debug|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\classify\cluster.cpp"
|
||||
>
|
||||
<FileConfiguration
|
||||
Name="Release|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
<FileConfiguration
|
||||
Name="Debug|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\classify\clusttool.cpp"
|
||||
>
|
||||
<FileConfiguration
|
||||
Name="Release|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
<FileConfiguration
|
||||
Name="Debug|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="cnTraining.cpp"
|
||||
>
|
||||
<FileConfiguration
|
||||
Name="Release|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
<FileConfiguration
|
||||
Name="Debug|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\cutil\cutil.cpp"
|
||||
>
|
||||
<FileConfiguration
|
||||
Name="Release|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
<FileConfiguration
|
||||
Name="Debug|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\cutil\danerror.cpp"
|
||||
>
|
||||
<FileConfiguration
|
||||
Name="Release|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
<FileConfiguration
|
||||
Name="Debug|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\cutil\debug.cpp"
|
||||
>
|
||||
<FileConfiguration
|
||||
Name="Release|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
<FileConfiguration
|
||||
Name="Debug|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\ccutil\debugwin.cpp"
|
||||
>
|
||||
<FileConfiguration
|
||||
Name="Release|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
<FileConfiguration
|
||||
Name="Debug|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
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||||
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||||
334
training/cntraining.cpp
Normal file
334
training/cntraining.cpp
Normal file
@ -0,0 +1,334 @@
|
||||
/******************************************************************************
|
||||
** Filename: cntraining.cpp
|
||||
** Purpose: Generates a normproto and pffmtable.
|
||||
** Author: Dan Johnson
|
||||
** Revisment: Christy Russon
|
||||
** History: Fri Aug 18 08:53:50 1989, DSJ, Created.
|
||||
** 5/25/90, DSJ, Adapted to multiple feature types.
|
||||
** Tuesday, May 17, 1998 Changes made to make feature specific and
|
||||
** simplify structures. First step in simplifying training process.
|
||||
**
|
||||
** (c) Copyright Hewlett-Packard Company, 1988.
|
||||
** Licensed under the Apache License, Version 2.0 (the "License");
|
||||
** you may not use this file except in compliance with the License.
|
||||
** You may obtain a copy of the License at
|
||||
** http://www.apache.org/licenses/LICENSE-2.0
|
||||
** Unless required by applicable law or agreed to in writing, software
|
||||
** distributed under the License is distributed on an "AS IS" BASIS,
|
||||
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
** See the License for the specific language governing permissions and
|
||||
** limitations under the License.
|
||||
******************************************************************************/
|
||||
|
||||
|
||||
/**----------------------------------------------------------------------------
|
||||
Include Files and Type Defines
|
||||
----------------------------------------------------------------------------**/
|
||||
#include "oldlist.h"
|
||||
#include "efio.h"
|
||||
#include "emalloc.h"
|
||||
#include "featdefs.h"
|
||||
#include "tessopt.h"
|
||||
#include "ocrfeatures.h"
|
||||
#include "general.h"
|
||||
#include "clusttool.h"
|
||||
#include "cluster.h"
|
||||
#include "name2char.h"
|
||||
#include <string.h>
|
||||
#include <stdio.h>
|
||||
#include <math.h>
|
||||
#include "unichar.h"
|
||||
#include "commontraining.h"
|
||||
|
||||
#define PROGRAM_FEATURE_TYPE "cn"
|
||||
#define MINSD (1.0f / 64.0f)
|
||||
|
||||
int row_number; /* cjn: fixes link problem */
|
||||
|
||||
/**----------------------------------------------------------------------------
|
||||
Public Function Prototypes
|
||||
----------------------------------------------------------------------------**/
|
||||
int main (
|
||||
int argc,
|
||||
char **argv);
|
||||
|
||||
/**----------------------------------------------------------------------------
|
||||
Private Function Prototypes
|
||||
----------------------------------------------------------------------------**/
|
||||
void ReadTrainingSamples (
|
||||
FILE *File,
|
||||
LIST* TrainingSamples);
|
||||
|
||||
void WriteNormProtos (
|
||||
char *Directory,
|
||||
LIST LabeledProtoList,
|
||||
CLUSTERER *Clusterer);
|
||||
|
||||
/*
|
||||
PARAMDESC *ConvertToPARAMDESC(
|
||||
PARAM_DESC* Param_Desc,
|
||||
int N);
|
||||
*/
|
||||
|
||||
void WriteProtos(
|
||||
FILE *File,
|
||||
uinT16 N,
|
||||
LIST ProtoList,
|
||||
BOOL8 WriteSigProtos,
|
||||
BOOL8 WriteInsigProtos);
|
||||
|
||||
/**----------------------------------------------------------------------------
|
||||
Global Data Definitions and Declarations
|
||||
----------------------------------------------------------------------------**/
|
||||
/* global variable to hold configuration parameters to control clustering */
|
||||
//-M 0.025 -B 0.05 -I 0.8 -C 1e-3
|
||||
CLUSTERCONFIG Config =
|
||||
{
|
||||
elliptical, 0.025, 0.05, 0.8, 1e-3, 0
|
||||
};
|
||||
|
||||
|
||||
/**----------------------------------------------------------------------------
|
||||
Public Code
|
||||
----------------------------------------------------------------------------**/
|
||||
/*---------------------------------------------------------------------------*/
|
||||
int main (
|
||||
int argc,
|
||||
char **argv)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** argc number of command line arguments
|
||||
** argv array of command line arguments
|
||||
** Globals: none
|
||||
** Operation:
|
||||
** This program reads in a text file consisting of feature
|
||||
** samples from a training page in the following format:
|
||||
**
|
||||
** FontName CharName NumberOfFeatureTypes(N)
|
||||
** FeatureTypeName1 NumberOfFeatures(M)
|
||||
** Feature1
|
||||
** ...
|
||||
** FeatureM
|
||||
** FeatureTypeName2 NumberOfFeatures(M)
|
||||
** Feature1
|
||||
** ...
|
||||
** FeatureM
|
||||
** ...
|
||||
** FeatureTypeNameN NumberOfFeatures(M)
|
||||
** Feature1
|
||||
** ...
|
||||
** FeatureM
|
||||
** FontName CharName ...
|
||||
**
|
||||
** It then appends these samples into a separate file for each
|
||||
** character. The name of the file is
|
||||
**
|
||||
** DirectoryName/FontName/CharName.FeatureTypeName
|
||||
**
|
||||
** The DirectoryName can be specified via a command
|
||||
** line argument. If not specified, it defaults to the
|
||||
** current directory. The format of the resulting files is:
|
||||
**
|
||||
** NumberOfFeatures(M)
|
||||
** Feature1
|
||||
** ...
|
||||
** FeatureM
|
||||
** NumberOfFeatures(M)
|
||||
** ...
|
||||
**
|
||||
** The output files each have a header which describes the
|
||||
** type of feature which the file contains. This header is
|
||||
** in the format required by the clusterer. A command line
|
||||
** argument can also be used to specify that only the first
|
||||
** N samples of each class should be used.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 08:56:17 1989, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
char *PageName;
|
||||
FILE *TrainingPage;
|
||||
LIST CharList = NIL;
|
||||
CLUSTERER *Clusterer = NULL;
|
||||
LIST ProtoList = NIL;
|
||||
LIST NormProtoList = NIL;
|
||||
LIST pCharList;
|
||||
LABELEDLIST CharSample;
|
||||
|
||||
ParseArguments (argc, argv);
|
||||
while ((PageName = GetNextFilename(argc, argv)) != NULL)
|
||||
{
|
||||
printf ("Reading %s ...\n", PageName);
|
||||
TrainingPage = Efopen (PageName, "r");
|
||||
ReadTrainingSamples (TrainingPage, &CharList);
|
||||
fclose (TrainingPage);
|
||||
//WriteTrainingSamples (Directory, CharList);
|
||||
}
|
||||
printf("Clustering ...\n");
|
||||
pCharList = CharList;
|
||||
iterate(pCharList)
|
||||
{
|
||||
//Cluster
|
||||
CharSample = (LABELEDLIST) first_node (pCharList);
|
||||
//printf ("\nClustering %s ...", CharSample->Label);
|
||||
Clusterer = SetUpForClustering(CharSample, PROGRAM_FEATURE_TYPE);
|
||||
float SavedMinSamples = Config.MinSamples;
|
||||
Config.MagicSamples = CharSample->SampleCount;
|
||||
while (Config.MinSamples > 0.001) {
|
||||
ProtoList = ClusterSamples(Clusterer, &Config);
|
||||
if (NumberOfProtos(ProtoList, 1, 0) > 0)
|
||||
break;
|
||||
else {
|
||||
Config.MinSamples *= 0.95;
|
||||
printf("0 significant protos for %s."
|
||||
" Retrying clustering with MinSamples = %f%%\n",
|
||||
CharSample->Label, Config.MinSamples);
|
||||
}
|
||||
}
|
||||
Config.MinSamples = SavedMinSamples;
|
||||
AddToNormProtosList(&NormProtoList, ProtoList, CharSample->Label);
|
||||
}
|
||||
FreeTrainingSamples (CharList);
|
||||
if (Clusterer == NULL) // To avoid a SIGSEGV
|
||||
return 1;
|
||||
WriteNormProtos (Directory, NormProtoList, Clusterer);
|
||||
FreeClusterer(Clusterer);
|
||||
FreeProtoList(&ProtoList);
|
||||
FreeNormProtoList(NormProtoList);
|
||||
printf ("\n");
|
||||
return 0;
|
||||
} // main
|
||||
|
||||
|
||||
/**----------------------------------------------------------------------------
|
||||
Private Code
|
||||
----------------------------------------------------------------------------**/
|
||||
/*---------------------------------------------------------------------------*/
|
||||
void ReadTrainingSamples (
|
||||
FILE *File,
|
||||
LIST* TrainingSamples)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** File open text file to read samples from
|
||||
** Globals: none
|
||||
** Operation:
|
||||
** This routine reads training samples from a file and
|
||||
** places them into a data structure which organizes the
|
||||
** samples by FontName and CharName. It then returns this
|
||||
** data structure.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 13:11:39 1989, DSJ, Created.
|
||||
** Tue May 17 1998 simplifications to structure, illiminated
|
||||
** font, and feature specification levels of structure.
|
||||
*/
|
||||
|
||||
{
|
||||
char unichar[UNICHAR_LEN + 1];
|
||||
LABELEDLIST CharSample;
|
||||
FEATURE_SET FeatureSamples;
|
||||
CHAR_DESC CharDesc;
|
||||
int Type, i;
|
||||
|
||||
while (fscanf (File, "%s %s", CTFontName, unichar) == 2) {
|
||||
CharSample = FindList (*TrainingSamples, unichar);
|
||||
if (CharSample == NULL) {
|
||||
CharSample = NewLabeledList (unichar);
|
||||
*TrainingSamples = push (*TrainingSamples, CharSample);
|
||||
}
|
||||
CharDesc = ReadCharDescription (File);
|
||||
Type = ShortNameToFeatureType(PROGRAM_FEATURE_TYPE);
|
||||
FeatureSamples = CharDesc->FeatureSets[Type];
|
||||
for (int feature = 0; feature < FeatureSamples->NumFeatures; ++feature) {
|
||||
FEATURE f = FeatureSamples->Features[feature];
|
||||
for (int dim =0; dim < f->Type->NumParams; ++dim)
|
||||
f->Params[dim] += UniformRandomNumber(-MINSD, MINSD);
|
||||
}
|
||||
CharSample->List = push (CharSample->List, FeatureSamples);
|
||||
CharSample->SampleCount++;
|
||||
for (i = 0; i < CharDesc->NumFeatureSets; i++)
|
||||
if (Type != i)
|
||||
FreeFeatureSet(CharDesc->FeatureSets[i]);
|
||||
free (CharDesc);
|
||||
}
|
||||
} // ReadTrainingSamples
|
||||
|
||||
/*----------------------------------------------------------------------------*/
|
||||
void WriteNormProtos (
|
||||
char *Directory,
|
||||
LIST LabeledProtoList,
|
||||
CLUSTERER *Clusterer)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** Directory directory to place sample files into
|
||||
** Operation:
|
||||
** This routine writes the specified samples into files which
|
||||
** are organized according to the font name and character name
|
||||
** of the samples.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 16:17:06 1989, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
FILE *File;
|
||||
char Filename[MAXNAMESIZE];
|
||||
LABELEDLIST LabeledProto;
|
||||
int N;
|
||||
|
||||
strcpy (Filename, "");
|
||||
if (Directory != NULL)
|
||||
{
|
||||
strcat (Filename, Directory);
|
||||
strcat (Filename, "/");
|
||||
}
|
||||
strcat (Filename, "normproto");
|
||||
printf ("\nWriting %s ...", Filename);
|
||||
File = Efopen (Filename, "w");
|
||||
fprintf(File,"%0d\n",Clusterer->SampleSize);
|
||||
WriteParamDesc(File,Clusterer->SampleSize,Clusterer->ParamDesc);
|
||||
iterate(LabeledProtoList)
|
||||
{
|
||||
LabeledProto = (LABELEDLIST) first_node (LabeledProtoList);
|
||||
N = NumberOfProtos(LabeledProto->List,
|
||||
ShowSignificantProtos, ShowInsignificantProtos);
|
||||
if (N < 1) {
|
||||
printf ("\nError! Not enough protos for %s: %d protos"
|
||||
" (%d significant protos"
|
||||
", %d insignificant protos)\n",
|
||||
LabeledProto->Label, N,
|
||||
NumberOfProtos(LabeledProto->List, 1, 0),
|
||||
NumberOfProtos(LabeledProto->List, 0, 1));
|
||||
exit(1);
|
||||
}
|
||||
fprintf(File, "\n%s %d\n", LabeledProto->Label, N);
|
||||
WriteProtos(File, Clusterer->SampleSize, LabeledProto->List,
|
||||
ShowSignificantProtos, ShowInsignificantProtos);
|
||||
}
|
||||
fclose (File);
|
||||
|
||||
} // WriteNormProtos
|
||||
|
||||
/*-------------------------------------------------------------------------*/
|
||||
void WriteProtos(
|
||||
FILE *File,
|
||||
uinT16 N,
|
||||
LIST ProtoList,
|
||||
BOOL8 WriteSigProtos,
|
||||
BOOL8 WriteInsigProtos)
|
||||
{
|
||||
PROTOTYPE *Proto;
|
||||
|
||||
// write prototypes
|
||||
iterate(ProtoList)
|
||||
{
|
||||
Proto = (PROTOTYPE *) first_node ( ProtoList );
|
||||
if (( Proto->Significant && WriteSigProtos ) ||
|
||||
( ! Proto->Significant && WriteInsigProtos ) )
|
||||
WritePrototype( File, N, Proto );
|
||||
}
|
||||
} // WriteProtos
|
||||
@ -1,243 +0,0 @@
|
||||
# Microsoft Developer Studio Project File - Name="cnTraining" - Package Owner=<4>
|
||||
# Microsoft Developer Studio Generated Build File, Format Version 6.00
|
||||
# ** DO NOT EDIT **
|
||||
|
||||
# TARGTYPE "Win32 (x86) Console Application" 0x0103
|
||||
|
||||
CFG=cnTraining - Win32 Debug
|
||||
!MESSAGE This is not a valid makefile. To build this project using NMAKE,
|
||||
!MESSAGE use the Export Makefile command and run
|
||||
!MESSAGE
|
||||
!MESSAGE NMAKE /f "cnTraining.mak".
|
||||
!MESSAGE
|
||||
!MESSAGE You can specify a configuration when running NMAKE
|
||||
!MESSAGE by defining the macro CFG on the command line. For example:
|
||||
!MESSAGE
|
||||
!MESSAGE NMAKE /f "cnTraining.mak" CFG="cnTraining - Win32 Debug"
|
||||
!MESSAGE
|
||||
!MESSAGE Possible choices for configuration are:
|
||||
!MESSAGE
|
||||
!MESSAGE "cnTraining - Win32 Release" (based on "Win32 (x86) Console Application")
|
||||
!MESSAGE "cnTraining - Win32 Debug" (based on "Win32 (x86) Console Application")
|
||||
!MESSAGE
|
||||
|
||||
# Begin Project
|
||||
# PROP AllowPerConfigDependencies 0
|
||||
# PROP Scc_ProjName ""
|
||||
# PROP Scc_LocalPath ""
|
||||
CPP=cl.exe
|
||||
RSC=rc.exe
|
||||
|
||||
!IF "$(CFG)" == "cnTraining - Win32 Release"
|
||||
|
||||
# PROP BASE Use_MFC 0
|
||||
# PROP BASE Use_Debug_Libraries 0
|
||||
# PROP BASE Output_Dir "Release"
|
||||
# PROP BASE Intermediate_Dir "Release"
|
||||
# PROP BASE Target_Dir ""
|
||||
# PROP Use_MFC 2
|
||||
# PROP Use_Debug_Libraries 0
|
||||
# PROP Output_Dir "cntrain.Release6"
|
||||
# PROP Intermediate_Dir "cntrain.Release6"
|
||||
# PROP Ignore_Export_Lib 0
|
||||
# PROP Target_Dir ""
|
||||
# ADD BASE CPP /nologo /W3 /GX /O2 /D "WIN32" /D "NDEBUG" /D "_CONSOLE" /D "_MBCS" /YX /FD /c
|
||||
# ADD CPP /nologo /MD /W3 /GX /O2 /I "../ccutil" /I "../ccstruct" /I "../classify" /I "../cutil" /I "../training" /I "../viewer" /I "../dict" /D "TRAINING" /D "WIN32" /D "_CONSOLE" /D "__NT__" /D "__MSW32__" /D "_AFXDLL" /Fr /YX /FD /c
|
||||
# ADD BASE RSC /l 0x409 /d "NDEBUG"
|
||||
# ADD RSC /l 0x409 /d "NDEBUG" /d "_AFXDLL"
|
||||
BSC32=bscmake.exe
|
||||
# ADD BASE BSC32 /nologo
|
||||
# ADD BSC32 /nologo
|
||||
LINK32=link.exe
|
||||
# ADD BASE LINK32 kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib /nologo /subsystem:console /machine:I386
|
||||
# ADD LINK32 ws2_32.lib /nologo /subsystem:console /profile /debug /machine:I386 /out:"./cnTraining.exe"
|
||||
|
||||
!ELSEIF "$(CFG)" == "cnTraining - Win32 Debug"
|
||||
|
||||
# PROP BASE Use_MFC 0
|
||||
# PROP BASE Use_Debug_Libraries 1
|
||||
# PROP BASE Output_Dir "Debug"
|
||||
# PROP BASE Intermediate_Dir "Debug"
|
||||
# PROP BASE Target_Dir ""
|
||||
# PROP Use_MFC 2
|
||||
# PROP Use_Debug_Libraries 1
|
||||
# PROP Output_Dir "cntrain.Debug6"
|
||||
# PROP Intermediate_Dir "cntrain.Debug6"
|
||||
# PROP Ignore_Export_Lib 0
|
||||
# PROP Target_Dir ""
|
||||
# ADD BASE CPP /nologo /W3 /Gm /GX /Zi /Od /D "WIN32" /D "_DEBUG" /D "_CONSOLE" /D "_MBCS" /YX /FD /c
|
||||
# ADD CPP /nologo /MDd /W3 /Gm /GX /ZI /Od /I "../ccutil" /I "../ccstruct" /I "../classify" /I "../cutil" /I "../training" /I "../viewer" /I "../dict" /D "_DEBUG" /D "TRAINING" /D "WIN32" /D "_CONSOLE" /D "__NT__" /D "__MSW32__" /D "_AFXDLL" /FR /YX /FD /c
|
||||
# ADD BASE RSC /l 0x409 /d "_DEBUG"
|
||||
# ADD RSC /l 0x409 /d "_DEBUG" /d "_AFXDLL"
|
||||
BSC32=bscmake.exe
|
||||
# ADD BASE BSC32 /nologo
|
||||
# ADD BSC32 /nologo
|
||||
LINK32=link.exe
|
||||
# ADD BASE LINK32 kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib /nologo /subsystem:console /debug /machine:I386 /pdbtype:sept
|
||||
# ADD LINK32 ws2_32.lib /nologo /subsystem:console /debug /machine:I386 /out:"../bin.dbg6/cnTraining.exe" /pdbtype:sept
|
||||
# SUBTRACT LINK32 /pdb:none
|
||||
|
||||
!ENDIF
|
||||
|
||||
# Begin Target
|
||||
|
||||
# Name "cnTraining - Win32 Release"
|
||||
# Name "cnTraining - Win32 Debug"
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\ccutil\clst.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\classify\cluster.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\classify\clusttool.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=.\cnTraining.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\cutil\cutil.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\cutil\danerror.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\cutil\debug.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\ccutil\debugwin.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\cutil\efio.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\cutil\emalloc.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\ccutil\errcode.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\classify\featdefs.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\cutil\freelist.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\ccutil\globaloc.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\cutil\globals.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\ccutil\hashfn.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\classify\kdtree.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\cutil\listio.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\ccutil\memblk.cpp
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
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|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\cutil\oldheap.cpp"
|
||||
>
|
||||
<FileConfiguration
|
||||
Name="Release|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
<FileConfiguration
|
||||
Name="Debug|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\cutil\oldlist.cpp"
|
||||
>
|
||||
<FileConfiguration
|
||||
Name="Release|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
<FileConfiguration
|
||||
Name="Debug|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\viewer\scrollview.cpp"
|
||||
>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\viewer\scrollview.h"
|
||||
>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\ccutil\serialis.cpp"
|
||||
>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\ccutil\strngs.cpp"
|
||||
>
|
||||
<FileConfiguration
|
||||
Name="Release|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
<FileConfiguration
|
||||
Name="Debug|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\cutil\structures.cpp"
|
||||
>
|
||||
<FileConfiguration
|
||||
Name="Release|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
<FileConfiguration
|
||||
Name="Debug|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\viewer\svmnode.cpp"
|
||||
>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\viewer\svmnode.h"
|
||||
>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\viewer\svutil.cpp"
|
||||
>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\viewer\svutil.h"
|
||||
>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\ccutil\tessopt.cpp"
|
||||
>
|
||||
<FileConfiguration
|
||||
Name="Release|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
<FileConfiguration
|
||||
Name="Debug|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\ccutil\tprintf.cpp"
|
||||
>
|
||||
<FileConfiguration
|
||||
Name="Release|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
<FileConfiguration
|
||||
Name="Debug|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="training.cpp"
|
||||
>
|
||||
<FileConfiguration
|
||||
Name="Release|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
<FileConfiguration
|
||||
Name="Debug|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\ccutil\unichar.cpp"
|
||||
>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\ccutil\unicharmap.cpp"
|
||||
>
|
||||
<FileConfiguration
|
||||
Name="Release|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
<FileConfiguration
|
||||
Name="Debug|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\ccutil\unicharset.cpp"
|
||||
>
|
||||
<FileConfiguration
|
||||
Name="Release|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
<FileConfiguration
|
||||
Name="Debug|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\ccutil\varable.cpp"
|
||||
>
|
||||
<FileConfiguration
|
||||
Name="Release|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
<FileConfiguration
|
||||
Name="Debug|Win32"
|
||||
>
|
||||
<Tool
|
||||
Name="VCCLCompilerTool"
|
||||
AdditionalIncludeDirectories=""
|
||||
PreprocessorDefinitions=""
|
||||
/>
|
||||
</FileConfiguration>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\cutil\variables.cpp"
|
||||
>
|
||||
</File>
|
||||
</Files>
|
||||
<Globals>
|
||||
</Globals>
|
||||
|
||||
31
training/combine_tessdata.cpp
Normal file
31
training/combine_tessdata.cpp
Normal file
@ -0,0 +1,31 @@
|
||||
///////////////////////////////////////////////////////////////////////
|
||||
// File: combine_tessdata
|
||||
// Description: Creates a unified traineddata file from several
|
||||
// data files produced by the training process.
|
||||
// Author: Daria Antonova
|
||||
// Created: Wed Jun 03 11:26:43 PST 2009
|
||||
//
|
||||
// (C) Copyright 2009, Google Inc.
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
//
|
||||
///////////////////////////////////////////////////////////////////////
|
||||
|
||||
#include "tessdatamanager.h"
|
||||
|
||||
int main(int argc, char **argv) {
|
||||
if (!(argc == 2)) {
|
||||
printf("Usage: %s language_data_path_prefix (e.g. tessdata/eng.)", argv[0]);
|
||||
return 1;
|
||||
}
|
||||
STRING output_file = argv[1];
|
||||
output_file += kTrainedDataSuffix;
|
||||
tesseract::TessdataManager::CombineDataFiles(argv[1], output_file.string());
|
||||
}
|
||||
815
training/commontraining.cpp
Normal file
815
training/commontraining.cpp
Normal file
@ -0,0 +1,815 @@
|
||||
// Copyright 2008 Google Inc. All Rights Reserved.
|
||||
// Author: scharron@google.com (Samuel Charron)
|
||||
//
|
||||
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||
// you may not use this file except in compliance with the License.
|
||||
// You may obtain a copy of the License at
|
||||
// http://www.apache.org/licenses/LICENSE-2.0
|
||||
// Unless required by applicable law or agreed to in writing, software
|
||||
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
// See the License for the specific language governing permissions and
|
||||
// limitations under the License.
|
||||
|
||||
#include "commontraining.h"
|
||||
|
||||
#include "oldlist.h"
|
||||
#include "globals.h"
|
||||
#include "mf.h"
|
||||
#include "clusttool.h"
|
||||
#include "cluster.h"
|
||||
#include "mergenf.h"
|
||||
#include "tessopt.h"
|
||||
#include "featdefs.h"
|
||||
#include "efio.h"
|
||||
#include "emalloc.h"
|
||||
#include "tprintf.h"
|
||||
#include "freelist.h"
|
||||
#include "unicity_table.h"
|
||||
|
||||
#include <math.h>
|
||||
|
||||
#define round(x,frag)(floor(x/frag+.5)*frag)
|
||||
|
||||
// Global Variables.
|
||||
char *Directory = NULL;
|
||||
|
||||
const char *InputUnicharsetFile = NULL;
|
||||
const char *OutputUnicharsetFile = NULL;
|
||||
|
||||
const char *InputFontInfoFile = NULL;
|
||||
|
||||
// globals used to control what information is saved in the output file
|
||||
BOOL8 ShowSignificantProtos = TRUE;
|
||||
BOOL8 ShowInsignificantProtos = FALSE;
|
||||
|
||||
FLOAT32 RoundingAccuracy = 0.0f;
|
||||
|
||||
char CTFontName[MAXNAMESIZE];
|
||||
|
||||
const char* test_ch = "";
|
||||
|
||||
// The unicharset used during training
|
||||
UNICHARSET unicharset_training;
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
void ParseArguments(int argc, char **argv)
|
||||
/*
|
||||
** Parameters:
|
||||
** argc number of command line arguments to parse
|
||||
** argv command line arguments
|
||||
** Globals:
|
||||
** ShowSignificantProtos flag controlling proto display
|
||||
** ShowInsignificantProtos flag controlling proto display
|
||||
** Config current clustering parameters
|
||||
** tessoptarg, tessoptind defined by tessopt sys call
|
||||
** Argc, Argv global copies of argc and argv
|
||||
** Operation:
|
||||
** This routine parses the command line arguments that were
|
||||
** passed to the program. The legal arguments are:
|
||||
** -d "turn off display of samples"
|
||||
** -p "turn off significant protos"
|
||||
** -n "turn off insignificant proto"
|
||||
** -S [ spherical | elliptical | mixed | automatic ]
|
||||
** -M MinSamples "min samples per prototype (%)"
|
||||
** -B MaxIllegal "max illegal chars per cluster (%)"
|
||||
** -I Independence "0 to 1"
|
||||
** -C Confidence "1e-200 to 1.0"
|
||||
** -D Directory
|
||||
** -R RoundingAccuracy
|
||||
** -U InputUnicharsetFile
|
||||
** -O OutputUnicharsetFile
|
||||
|
||||
** Return: none
|
||||
** Exceptions: Illegal options terminate the program.
|
||||
** History: 7/24/89, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
int Option;
|
||||
int ParametersRead;
|
||||
BOOL8 Error;
|
||||
|
||||
Error = FALSE;
|
||||
while (( Option = tessopt( argc, argv, "F:O:U:R:D:C:I:M:B:S:n:p" )) != EOF )
|
||||
{
|
||||
switch ( Option )
|
||||
{
|
||||
case 'n':
|
||||
sscanf(tessoptarg,"%d", &ParametersRead);
|
||||
ShowInsignificantProtos = ParametersRead;
|
||||
break;
|
||||
case 'p':
|
||||
sscanf(tessoptarg,"%d", &ParametersRead);
|
||||
ShowSignificantProtos = ParametersRead;
|
||||
break;
|
||||
case 'C':
|
||||
ParametersRead = sscanf( tessoptarg, "%lf", &(Config.Confidence) );
|
||||
if ( ParametersRead != 1 ) Error = TRUE;
|
||||
else if ( Config.Confidence > 1 ) Config.Confidence = 1;
|
||||
else if ( Config.Confidence < 0 ) Config.Confidence = 0;
|
||||
break;
|
||||
case 'I':
|
||||
ParametersRead = sscanf( tessoptarg, "%f", &(Config.Independence) );
|
||||
if ( ParametersRead != 1 ) Error = TRUE;
|
||||
else if ( Config.Independence > 1 ) Config.Independence = 1;
|
||||
else if ( Config.Independence < 0 ) Config.Independence = 0;
|
||||
break;
|
||||
case 'M':
|
||||
ParametersRead = sscanf( tessoptarg, "%f", &(Config.MinSamples) );
|
||||
if ( ParametersRead != 1 ) Error = TRUE;
|
||||
else if ( Config.MinSamples > 1 ) Config.MinSamples = 1;
|
||||
else if ( Config.MinSamples < 0 ) Config.MinSamples = 0;
|
||||
break;
|
||||
case 'B':
|
||||
ParametersRead = sscanf( tessoptarg, "%f", &(Config.MaxIllegal) );
|
||||
if ( ParametersRead != 1 ) Error = TRUE;
|
||||
else if ( Config.MaxIllegal > 1 ) Config.MaxIllegal = 1;
|
||||
else if ( Config.MaxIllegal < 0 ) Config.MaxIllegal = 0;
|
||||
break;
|
||||
case 'R':
|
||||
ParametersRead = sscanf( tessoptarg, "%f", &RoundingAccuracy );
|
||||
if ( ParametersRead != 1 ) Error = TRUE;
|
||||
else if ( RoundingAccuracy > 0.01f ) RoundingAccuracy = 0.01f;
|
||||
else if ( RoundingAccuracy < 0.0f ) RoundingAccuracy = 0.0f;
|
||||
break;
|
||||
case 'S':
|
||||
switch ( tessoptarg[0] )
|
||||
{
|
||||
case 's': Config.ProtoStyle = spherical; break;
|
||||
case 'e': Config.ProtoStyle = elliptical; break;
|
||||
case 'm': Config.ProtoStyle = mixed; break;
|
||||
case 'a': Config.ProtoStyle = automatic; break;
|
||||
default: Error = TRUE;
|
||||
}
|
||||
break;
|
||||
case 'D':
|
||||
Directory = tessoptarg;
|
||||
break;
|
||||
case 'U':
|
||||
InputUnicharsetFile = tessoptarg;
|
||||
break;
|
||||
case 'O':
|
||||
OutputUnicharsetFile = tessoptarg;
|
||||
break;
|
||||
case 'F':
|
||||
InputFontInfoFile = tessoptarg;
|
||||
break;
|
||||
case '?':
|
||||
Error = TRUE;
|
||||
break;
|
||||
}
|
||||
if ( Error )
|
||||
{
|
||||
fprintf (stderr, "usage: %s [-d] [-p] [-n]\n", argv[0] );
|
||||
fprintf (stderr, "\t[-S ProtoStyle]\n");
|
||||
fprintf (stderr, "\t[-M MinSamples] [-B MaxBad] [-I Independence]\n");
|
||||
fprintf (stderr, "\t[-C Confidence] [-D Directory]\n");
|
||||
fprintf (stderr, "\t[-U InputUnicharsetFile] [-O OutputUnicharsetFile]\n");
|
||||
fprintf (stderr, "\t[-F FontInfoFile]\n");
|
||||
fprintf (stderr, "\t[ TrainingPage ... ]\n");
|
||||
exit (2);
|
||||
}
|
||||
}
|
||||
} // ParseArguments
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
char *GetNextFilename (int Argc, char** Argv)
|
||||
/*
|
||||
** Parameters: none
|
||||
** Globals:
|
||||
** tessoptind defined by tessopt sys call
|
||||
** Operation:
|
||||
** This routine returns the next command line argument. If
|
||||
** there are no remaining command line arguments, it returns
|
||||
** NULL. This routine should only be called after all option
|
||||
** arguments have been parsed and removed with ParseArguments.
|
||||
** Return: Next command line argument or NULL.
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 09:34:12 1989, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
if (tessoptind < Argc)
|
||||
return (Argv [tessoptind++]);
|
||||
else
|
||||
return (NULL);
|
||||
|
||||
} /* GetNextFilename */
|
||||
|
||||
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
LABELEDLIST FindList (
|
||||
LIST List,
|
||||
char *Label)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** List list to search
|
||||
** Label label to search for
|
||||
** Globals: none
|
||||
** Operation:
|
||||
** This routine searches thru a list of labeled lists to find
|
||||
** a list with the specified label. If a matching labeled list
|
||||
** cannot be found, NULL is returned.
|
||||
** Return: Labeled list with the specified Label or NULL.
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 15:57:41 1989, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
LABELEDLIST LabeledList;
|
||||
|
||||
iterate (List)
|
||||
{
|
||||
LabeledList = (LABELEDLIST) first_node (List);
|
||||
if (strcmp (LabeledList->Label, Label) == 0)
|
||||
return (LabeledList);
|
||||
}
|
||||
return (NULL);
|
||||
|
||||
} /* FindList */
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
LABELEDLIST NewLabeledList (
|
||||
const char *Label)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** Label label for new list
|
||||
** Globals: none
|
||||
** Operation:
|
||||
** This routine allocates a new, empty labeled list and gives
|
||||
** it the specified label.
|
||||
** Return: New, empty labeled list.
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 16:08:46 1989, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
LABELEDLIST LabeledList;
|
||||
|
||||
LabeledList = (LABELEDLIST) Emalloc (sizeof (LABELEDLISTNODE));
|
||||
LabeledList->Label = (char*)Emalloc (strlen (Label)+1);
|
||||
strcpy (LabeledList->Label, Label);
|
||||
LabeledList->List = NIL;
|
||||
LabeledList->SampleCount = 0;
|
||||
return (LabeledList);
|
||||
|
||||
} /* NewLabeledList */
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
void WriteTrainingSamples (
|
||||
char *Directory,
|
||||
LIST CharList,
|
||||
const char* program_feature_type)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** Directory directory to place sample files into
|
||||
** FontList list of fonts used in the training samples
|
||||
** Operation:
|
||||
** This routine writes the specified samples into files which
|
||||
** are organized according to the font name and character name
|
||||
** of the samples.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 16:17:06 1989, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
LABELEDLIST CharSample;
|
||||
FEATURE_SET FeatureSet;
|
||||
LIST FeatureList;
|
||||
FILE *File;
|
||||
char Filename[MAXNAMESIZE];
|
||||
int NumSamples;
|
||||
|
||||
iterate (CharList) // iterate thru all of the fonts
|
||||
{
|
||||
CharSample = (LABELEDLIST) first_node (CharList);
|
||||
|
||||
// construct the full pathname for the current samples file
|
||||
strcpy (Filename, "");
|
||||
if (Directory != NULL)
|
||||
{
|
||||
strcat (Filename, Directory);
|
||||
strcat (Filename, "/");
|
||||
}
|
||||
strcat (Filename, CTFontName);
|
||||
strcat (Filename, "/");
|
||||
strcat (Filename, CharSample->Label);
|
||||
strcat (Filename, ".");
|
||||
strcat (Filename, program_feature_type);
|
||||
printf ("\nWriting %s ...", Filename);
|
||||
|
||||
/* if file does not exist, create a new one with an appropriate
|
||||
header; otherwise append samples to the existing file */
|
||||
File = fopen (Filename, "r");
|
||||
if (File == NULL)
|
||||
{
|
||||
File = Efopen (Filename, "w");
|
||||
WriteOldParamDesc(
|
||||
File,
|
||||
FeatureDefs.FeatureDesc[ShortNameToFeatureType(
|
||||
program_feature_type)]);
|
||||
}
|
||||
else
|
||||
{
|
||||
fclose (File);
|
||||
File = Efopen (Filename, "a");
|
||||
}
|
||||
|
||||
// append samples onto the file
|
||||
FeatureList = CharSample->List;
|
||||
NumSamples = 0;
|
||||
iterate (FeatureList)
|
||||
{
|
||||
FeatureSet = (FEATURE_SET) first_node (FeatureList);
|
||||
WriteFeatureSet (File, FeatureSet);
|
||||
NumSamples++;
|
||||
}
|
||||
fclose (File);
|
||||
}
|
||||
} /* WriteTrainingSamples */
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
void FreeTrainingSamples (
|
||||
LIST CharList)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** FontList list of all fonts in document
|
||||
** Globals: none
|
||||
** Operation:
|
||||
** This routine deallocates all of the space allocated to
|
||||
** the specified list of training samples.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 17:44:27 1989, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
LABELEDLIST CharSample;
|
||||
FEATURE_SET FeatureSet;
|
||||
LIST FeatureList;
|
||||
|
||||
|
||||
// printf ("FreeTrainingSamples...\n");
|
||||
iterate (CharList) /* iterate thru all of the fonts */
|
||||
{
|
||||
CharSample = (LABELEDLIST) first_node (CharList);
|
||||
FeatureList = CharSample->List;
|
||||
iterate (FeatureList) /* iterate thru all of the classes */
|
||||
{
|
||||
FeatureSet = (FEATURE_SET) first_node (FeatureList);
|
||||
FreeFeatureSet (FeatureSet);
|
||||
}
|
||||
FreeLabeledList (CharSample);
|
||||
}
|
||||
destroy (CharList);
|
||||
|
||||
} /* FreeTrainingSamples */
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
void FreeLabeledList (
|
||||
LABELEDLIST LabeledList)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** LabeledList labeled list to be freed
|
||||
** Globals: none
|
||||
** Operation:
|
||||
** This routine deallocates all of the memory consumed by
|
||||
** a labeled list. It does not free any memory which may be
|
||||
** consumed by the items in the list.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 17:52:45 1989, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
destroy (LabeledList->List);
|
||||
free (LabeledList->Label);
|
||||
free (LabeledList);
|
||||
|
||||
} /* FreeLabeledList */
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
CLUSTERER *SetUpForClustering(
|
||||
LABELEDLIST CharSample,
|
||||
const char* program_feature_type)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** CharSample: LABELEDLIST that holds all the feature information for a
|
||||
** given character.
|
||||
** Globals:
|
||||
** None
|
||||
** Operation:
|
||||
** This routine reads samples from a LABELEDLIST and enters
|
||||
** those samples into a clusterer data structure. This
|
||||
** data structure is then returned to the caller.
|
||||
** Return:
|
||||
** Pointer to new clusterer data structure.
|
||||
** Exceptions:
|
||||
** None
|
||||
** History:
|
||||
** 8/16/89, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
uinT16 N;
|
||||
int i, j;
|
||||
FLOAT32 *Sample = NULL;
|
||||
CLUSTERER *Clusterer;
|
||||
inT32 CharID;
|
||||
LIST FeatureList = NULL;
|
||||
FEATURE_SET FeatureSet = NULL;
|
||||
FEATURE_DESC FeatureDesc = NULL;
|
||||
// PARAM_DESC* ParamDesc;
|
||||
|
||||
FeatureDesc =
|
||||
FeatureDefs.FeatureDesc[ShortNameToFeatureType(program_feature_type)];
|
||||
N = FeatureDesc->NumParams;
|
||||
// ParamDesc = ConvertToPARAMDESC(FeatureDesc->ParamDesc, N);
|
||||
Clusterer = MakeClusterer(N,FeatureDesc->ParamDesc);
|
||||
// free(ParamDesc);
|
||||
|
||||
FeatureList = CharSample->List;
|
||||
CharID = 0;
|
||||
iterate(FeatureList)
|
||||
{
|
||||
FeatureSet = (FEATURE_SET) first_node (FeatureList);
|
||||
for (i=0; i < FeatureSet->MaxNumFeatures; i++)
|
||||
{
|
||||
if (Sample == NULL)
|
||||
Sample = (FLOAT32 *)Emalloc(N * sizeof(FLOAT32));
|
||||
for (j=0; j < N; j++)
|
||||
if (RoundingAccuracy != 0.0f)
|
||||
Sample[j] = round(FeatureSet->Features[i]->Params[j], RoundingAccuracy);
|
||||
else
|
||||
Sample[j] = FeatureSet->Features[i]->Params[j];
|
||||
MakeSample (Clusterer, Sample, CharID);
|
||||
}
|
||||
CharID++;
|
||||
}
|
||||
if ( Sample != NULL ) free( Sample );
|
||||
return( Clusterer );
|
||||
|
||||
} /* SetUpForClustering */
|
||||
|
||||
/*------------------------------------------------------------------------*/
|
||||
void MergeInsignificantProtos(LIST ProtoList, const char* label,
|
||||
CLUSTERER *Clusterer, CLUSTERCONFIG *Config) {
|
||||
PROTOTYPE *Prototype;
|
||||
bool debug = strcmp(test_ch, label) == 0;
|
||||
|
||||
LIST pProtoList = ProtoList;
|
||||
iterate(pProtoList) {
|
||||
Prototype = (PROTOTYPE *) first_node (pProtoList);
|
||||
if (Prototype->Significant || Prototype->Merged)
|
||||
continue;
|
||||
FLOAT32 best_dist = 0.125;
|
||||
PROTOTYPE* best_match = NULL;
|
||||
// Find the nearest alive prototype.
|
||||
LIST list_it = ProtoList;
|
||||
iterate(list_it) {
|
||||
PROTOTYPE* test_p = (PROTOTYPE *) first_node (list_it);
|
||||
if (test_p != Prototype && !test_p->Merged) {
|
||||
FLOAT32 dist = ComputeDistance(Clusterer->SampleSize,
|
||||
Clusterer->ParamDesc,
|
||||
Prototype->Mean, test_p->Mean);
|
||||
if (dist < best_dist) {
|
||||
best_match = test_p;
|
||||
best_dist = dist;
|
||||
}
|
||||
}
|
||||
}
|
||||
if (best_match != NULL && !best_match->Significant) {
|
||||
if (debug)
|
||||
tprintf("Merging red clusters (%d+%d) at %g,%g and %g,%g\n",
|
||||
best_match->NumSamples, Prototype->NumSamples,
|
||||
best_match->Mean[0], best_match->Mean[1],
|
||||
Prototype->Mean[0], Prototype->Mean[1]);
|
||||
best_match->NumSamples = MergeClusters(Clusterer->SampleSize,
|
||||
Clusterer->ParamDesc,
|
||||
best_match->NumSamples,
|
||||
Prototype->NumSamples,
|
||||
best_match->Mean,
|
||||
best_match->Mean, Prototype->Mean);
|
||||
Prototype->NumSamples = 0;
|
||||
Prototype->Merged = 1;
|
||||
} else if (best_match != NULL) {
|
||||
if (debug)
|
||||
tprintf("Red proto at %g,%g matched a green one at %g,%g\n",
|
||||
Prototype->Mean[0], Prototype->Mean[1],
|
||||
best_match->Mean[0], best_match->Mean[1]);
|
||||
Prototype->Merged = 1;
|
||||
}
|
||||
}
|
||||
// Mark significant those that now have enough samples.
|
||||
int min_samples = (inT32) (Config->MinSamples * Clusterer->NumChar);
|
||||
pProtoList = ProtoList;
|
||||
iterate(pProtoList) {
|
||||
Prototype = (PROTOTYPE *) first_node (pProtoList);
|
||||
// Process insignificant protos that do not match a green one
|
||||
if (!Prototype->Significant && Prototype->NumSamples >= min_samples &&
|
||||
!Prototype->Merged) {
|
||||
if (debug)
|
||||
tprintf("Red proto at %g,%g becoming green\n",
|
||||
Prototype->Mean[0], Prototype->Mean[1]);
|
||||
Prototype->Significant = true;
|
||||
}
|
||||
}
|
||||
} /* MergeInsignificantProtos */
|
||||
|
||||
/*-----------------------------------------------------------------------------*/
|
||||
void CleanUpUnusedData(
|
||||
LIST ProtoList)
|
||||
{
|
||||
PROTOTYPE* Prototype;
|
||||
|
||||
iterate(ProtoList)
|
||||
{
|
||||
Prototype = (PROTOTYPE *) first_node (ProtoList);
|
||||
if(Prototype->Variance.Elliptical != NULL)
|
||||
{
|
||||
memfree(Prototype->Variance.Elliptical);
|
||||
Prototype->Variance.Elliptical = NULL;
|
||||
}
|
||||
if(Prototype->Magnitude.Elliptical != NULL)
|
||||
{
|
||||
memfree(Prototype->Magnitude.Elliptical);
|
||||
Prototype->Magnitude.Elliptical = NULL;
|
||||
}
|
||||
if(Prototype->Weight.Elliptical != NULL)
|
||||
{
|
||||
memfree(Prototype->Weight.Elliptical);
|
||||
Prototype->Weight.Elliptical = NULL;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/*------------------------------------------------------------------------*/
|
||||
LIST RemoveInsignificantProtos(
|
||||
LIST ProtoList,
|
||||
BOOL8 KeepSigProtos,
|
||||
BOOL8 KeepInsigProtos,
|
||||
int N)
|
||||
|
||||
{
|
||||
LIST NewProtoList = NIL;
|
||||
LIST pProtoList;
|
||||
PROTOTYPE* Proto;
|
||||
PROTOTYPE* NewProto;
|
||||
int i;
|
||||
|
||||
pProtoList = ProtoList;
|
||||
iterate(pProtoList)
|
||||
{
|
||||
Proto = (PROTOTYPE *) first_node (pProtoList);
|
||||
if ((Proto->Significant && KeepSigProtos) ||
|
||||
(!Proto->Significant && KeepInsigProtos))
|
||||
{
|
||||
NewProto = (PROTOTYPE *)Emalloc(sizeof(PROTOTYPE));
|
||||
|
||||
NewProto->Mean = (FLOAT32 *)Emalloc(N * sizeof(FLOAT32));
|
||||
NewProto->Significant = Proto->Significant;
|
||||
NewProto->Style = Proto->Style;
|
||||
NewProto->NumSamples = Proto->NumSamples;
|
||||
NewProto->Cluster = NULL;
|
||||
NewProto->Distrib = NULL;
|
||||
|
||||
for (i=0; i < N; i++)
|
||||
NewProto->Mean[i] = Proto->Mean[i];
|
||||
if (Proto->Variance.Elliptical != NULL)
|
||||
{
|
||||
NewProto->Variance.Elliptical = (FLOAT32 *)Emalloc(N * sizeof(FLOAT32));
|
||||
for (i=0; i < N; i++)
|
||||
NewProto->Variance.Elliptical[i] = Proto->Variance.Elliptical[i];
|
||||
}
|
||||
else
|
||||
NewProto->Variance.Elliptical = NULL;
|
||||
//---------------------------------------------
|
||||
if (Proto->Magnitude.Elliptical != NULL)
|
||||
{
|
||||
NewProto->Magnitude.Elliptical = (FLOAT32 *)Emalloc(N * sizeof(FLOAT32));
|
||||
for (i=0; i < N; i++)
|
||||
NewProto->Magnitude.Elliptical[i] = Proto->Magnitude.Elliptical[i];
|
||||
}
|
||||
else
|
||||
NewProto->Magnitude.Elliptical = NULL;
|
||||
//------------------------------------------------
|
||||
if (Proto->Weight.Elliptical != NULL)
|
||||
{
|
||||
NewProto->Weight.Elliptical = (FLOAT32 *)Emalloc(N * sizeof(FLOAT32));
|
||||
for (i=0; i < N; i++)
|
||||
NewProto->Weight.Elliptical[i] = Proto->Weight.Elliptical[i];
|
||||
}
|
||||
else
|
||||
NewProto->Weight.Elliptical = NULL;
|
||||
|
||||
NewProto->TotalMagnitude = Proto->TotalMagnitude;
|
||||
NewProto->LogMagnitude = Proto->LogMagnitude;
|
||||
NewProtoList = push_last(NewProtoList, NewProto);
|
||||
}
|
||||
}
|
||||
//FreeProtoList (ProtoList);
|
||||
return (NewProtoList);
|
||||
} /* RemoveInsignificantProtos */
|
||||
|
||||
/*----------------------------------------------------------------------------*/
|
||||
MERGE_CLASS FindClass (
|
||||
LIST List,
|
||||
char *Label)
|
||||
{
|
||||
MERGE_CLASS MergeClass;
|
||||
|
||||
iterate (List)
|
||||
{
|
||||
MergeClass = (MERGE_CLASS) first_node (List);
|
||||
if (strcmp (MergeClass->Label, Label) == 0)
|
||||
return (MergeClass);
|
||||
}
|
||||
return (NULL);
|
||||
|
||||
} /* FindClass */
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
MERGE_CLASS NewLabeledClass (
|
||||
char *Label)
|
||||
{
|
||||
MERGE_CLASS MergeClass;
|
||||
|
||||
MergeClass = new MERGE_CLASS_NODE;
|
||||
MergeClass->Label = (char*)Emalloc (strlen (Label)+1);
|
||||
strcpy (MergeClass->Label, Label);
|
||||
MergeClass->Class = NewClass (MAX_NUM_PROTOS, MAX_NUM_CONFIGS);
|
||||
return (MergeClass);
|
||||
|
||||
} /* NewLabeledClass */
|
||||
|
||||
/*-----------------------------------------------------------------------------*/
|
||||
void FreeLabeledClassList (
|
||||
LIST ClassList)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** FontList list of all fonts in document
|
||||
** Globals: none
|
||||
** Operation:
|
||||
** This routine deallocates all of the space allocated to
|
||||
** the specified list of training samples.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 17:44:27 1989, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
MERGE_CLASS MergeClass;
|
||||
|
||||
iterate (ClassList) /* iterate thru all of the fonts */
|
||||
{
|
||||
MergeClass = (MERGE_CLASS) first_node (ClassList);
|
||||
free (MergeClass->Label);
|
||||
FreeClass(MergeClass->Class);
|
||||
delete MergeClass;
|
||||
}
|
||||
destroy (ClassList);
|
||||
|
||||
} /* FreeLabeledClassList */
|
||||
|
||||
/** SetUpForFloat2Int **************************************************/
|
||||
void SetUpForFloat2Int(
|
||||
LIST LabeledClassList)
|
||||
{
|
||||
MERGE_CLASS MergeClass;
|
||||
CLASS_TYPE Class;
|
||||
int NumProtos;
|
||||
int NumConfigs;
|
||||
int NumWords;
|
||||
int i, j;
|
||||
float Values[3];
|
||||
PROTO NewProto;
|
||||
PROTO OldProto;
|
||||
BIT_VECTOR NewConfig;
|
||||
BIT_VECTOR OldConfig;
|
||||
|
||||
// printf("Float2Int ...\n");
|
||||
|
||||
iterate(LabeledClassList)
|
||||
{
|
||||
UnicityTableEqEq<int> font_set;
|
||||
MergeClass = (MERGE_CLASS) first_node (LabeledClassList);
|
||||
Class = &TrainingData[unicharset_training.unichar_to_id(
|
||||
MergeClass->Label)];
|
||||
NumProtos = MergeClass->Class->NumProtos;
|
||||
NumConfigs = MergeClass->Class->NumConfigs;
|
||||
font_set.move(&MergeClass->Class->font_set);
|
||||
Class->NumProtos = NumProtos;
|
||||
Class->MaxNumProtos = NumProtos;
|
||||
Class->Prototypes = (PROTO) Emalloc (sizeof(PROTO_STRUCT) * NumProtos);
|
||||
for(i=0; i < NumProtos; i++)
|
||||
{
|
||||
NewProto = ProtoIn(Class, i);
|
||||
OldProto = ProtoIn(MergeClass->Class, i);
|
||||
Values[0] = OldProto->X;
|
||||
Values[1] = OldProto->Y;
|
||||
Values[2] = OldProto->Angle;
|
||||
Normalize(Values);
|
||||
NewProto->X = OldProto->X;
|
||||
NewProto->Y = OldProto->Y;
|
||||
NewProto->Length = OldProto->Length;
|
||||
NewProto->Angle = OldProto->Angle;
|
||||
NewProto->A = Values[0];
|
||||
NewProto->B = Values[1];
|
||||
NewProto->C = Values[2];
|
||||
}
|
||||
|
||||
Class->NumConfigs = NumConfigs;
|
||||
Class->MaxNumConfigs = NumConfigs;
|
||||
Class->font_set.move(&font_set);
|
||||
Class->Configurations = (BIT_VECTOR*) Emalloc (sizeof(BIT_VECTOR) * NumConfigs);
|
||||
NumWords = WordsInVectorOfSize(NumProtos);
|
||||
for(i=0; i < NumConfigs; i++)
|
||||
{
|
||||
NewConfig = NewBitVector(NumProtos);
|
||||
OldConfig = MergeClass->Class->Configurations[i];
|
||||
for(j=0; j < NumWords; j++)
|
||||
NewConfig[j] = OldConfig[j];
|
||||
Class->Configurations[i] = NewConfig;
|
||||
}
|
||||
}
|
||||
} // SetUpForFloat2Int
|
||||
|
||||
/*--------------------------------------------------------------------------*/
|
||||
void Normalize (
|
||||
float *Values)
|
||||
{
|
||||
register float Slope;
|
||||
register float Intercept;
|
||||
register float Normalizer;
|
||||
|
||||
Slope = tan (Values [2] * 2 * PI);
|
||||
Intercept = Values [1] - Slope * Values [0];
|
||||
Normalizer = 1 / sqrt (Slope * Slope + 1.0);
|
||||
|
||||
Values [0] = Slope * Normalizer;
|
||||
Values [1] = - Normalizer;
|
||||
Values [2] = Intercept * Normalizer;
|
||||
} // Normalize
|
||||
|
||||
/*-------------------------------------------------------------------------*/
|
||||
void FreeNormProtoList (
|
||||
LIST CharList)
|
||||
|
||||
{
|
||||
LABELEDLIST CharSample;
|
||||
|
||||
iterate (CharList) /* iterate thru all of the fonts */
|
||||
{
|
||||
CharSample = (LABELEDLIST) first_node (CharList);
|
||||
FreeLabeledList (CharSample);
|
||||
}
|
||||
destroy (CharList);
|
||||
|
||||
} // FreeNormProtoList
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
void AddToNormProtosList(
|
||||
LIST* NormProtoList,
|
||||
LIST ProtoList,
|
||||
char* CharName)
|
||||
{
|
||||
PROTOTYPE* Proto;
|
||||
LABELEDLIST LabeledProtoList;
|
||||
|
||||
LabeledProtoList = NewLabeledList(CharName);
|
||||
iterate(ProtoList)
|
||||
{
|
||||
Proto = (PROTOTYPE *) first_node (ProtoList);
|
||||
LabeledProtoList->List = push(LabeledProtoList->List, Proto);
|
||||
}
|
||||
*NormProtoList = push(*NormProtoList, LabeledProtoList);
|
||||
}
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
int NumberOfProtos(
|
||||
LIST ProtoList,
|
||||
BOOL8 CountSigProtos,
|
||||
BOOL8 CountInsigProtos)
|
||||
{
|
||||
int N = 0;
|
||||
PROTOTYPE *Proto;
|
||||
|
||||
iterate(ProtoList)
|
||||
{
|
||||
Proto = (PROTOTYPE *) first_node ( ProtoList );
|
||||
if (( Proto->Significant && CountSigProtos ) ||
|
||||
( ! Proto->Significant && CountInsigProtos ) )
|
||||
N++;
|
||||
}
|
||||
return(N);
|
||||
}
|
||||
@ -1,10 +1,10 @@
|
||||
/******************************************************************************
|
||||
** Filename: MergeNF.c
|
||||
** Purpose: Program for merging similar nano-feature protos
|
||||
** Author: Dan Johnson
|
||||
** History: Wed Nov 21 09:55:23 1990, DSJ, Created.
|
||||
** Filename: MergeNF.c
|
||||
** Purpose: Program for merging similar nano-feature protos
|
||||
** Author: Dan Johnson
|
||||
** History: Wed Nov 21 09:55:23 1990, DSJ, Created.
|
||||
**
|
||||
** (c) Copyright Hewlett-Packard Company, 1988.
|
||||
** (c) Copyright Hewlett-Packard Company, 1988.
|
||||
** Licensed under the Apache License, Version 2.0 (the "License");
|
||||
** you may not use this file except in compliance with the License.
|
||||
** You may obtain a copy of the License at
|
||||
@ -16,7 +16,7 @@
|
||||
** limitations under the License.
|
||||
******************************************************************************/
|
||||
/**----------------------------------------------------------------------------
|
||||
Include Files and Type Defines
|
||||
Include Files and Type Defines
|
||||
----------------------------------------------------------------------------**/
|
||||
#include "mergenf.h"
|
||||
#include "general.h"
|
||||
@ -25,12 +25,12 @@
|
||||
#include "cluster.h"
|
||||
#include "oldlist.h"
|
||||
#include "protos.h"
|
||||
#include "minmax.h"
|
||||
#include "ndminx.h"
|
||||
#include "ocrfeatures.h"
|
||||
#include "debug.h"
|
||||
#include "const.h"
|
||||
#include "featdefs.h"
|
||||
#include "intproto.h"
|
||||
#include "varable.h"
|
||||
|
||||
#include <stdio.h>
|
||||
#include <string.h>
|
||||
@ -38,264 +38,217 @@
|
||||
|
||||
|
||||
/**----------------------------------------------------------------------------
|
||||
Variables
|
||||
Variables
|
||||
-----------------------------------------------------------------------------**/
|
||||
/*-------------------once in subfeat---------------------------------*/
|
||||
make_float_var (AngleMatchScale, 1.0, MakeAngleMatchScale,
|
||||
7, 2, SetAngleMatchScale, "Angle Match Scale ...")
|
||||
double_VAR(training_angle_match_scale, 1.0, "Angle Match Scale ...");
|
||||
|
||||
make_float_var (SimilarityMidpoint, 0.0075, MakeSimilarityMidpoint,
|
||||
7, 3, SetSimilarityMidpoint, "Similarity Midpoint ...")
|
||||
double_VAR(training_similarity_midpoint, 0.0075, "Similarity Midpoint ...");
|
||||
|
||||
make_float_var (SimilarityCurl, 2.0, MakeSimilarityCurl,
|
||||
7, 4, SetSimilarityCurl, "Similarity Curl ...")
|
||||
double_VAR(training_similarity_curl, 2.0, "Similarity Curl ...");
|
||||
|
||||
/*-----------------------------once in fasttrain----------------------------------*/
|
||||
make_float_var (TangentBBoxPad, 0.5, MakeTangentBBoxPad,
|
||||
15, 3, SetTangentBBoxPad, "Tangent bounding box pad ...")
|
||||
double_VAR(training_tangent_bbox_pad, 0.5, "Tangent bounding box pad ...");
|
||||
|
||||
make_float_var (OrthogonalBBoxPad, 2.5, MakeOrthogonalBBoxPad,
|
||||
15, 4, SetOrthogonalBBoxPad, "Orthogonal bounding box pad ...")
|
||||
double_VAR(training_orthogonal_bbox_pad, 2.5, "Orthogonal bounding box pad ...");
|
||||
|
||||
make_float_var (AnglePad, 45.0, MakeAnglePad,
|
||||
15, 5, SetAnglePad, "Angle pad ...")
|
||||
double_VAR(training_angle_pad, 45.0, "Angle pad ...");
|
||||
|
||||
/**----------------------------------------------------------------------------
|
||||
Global Data Definitions and Declarations
|
||||
Global Data Definitions and Declarations
|
||||
----------------------------------------------------------------------------**/
|
||||
//int row_number; /* kludge due to linking problems */
|
||||
//int row_number; /* kludge due to linking problems */
|
||||
|
||||
/**----------------------------------------------------------------------------
|
||||
Public Code
|
||||
Public Code
|
||||
----------------------------------------------------------------------------**/
|
||||
/*---------------------------------------------------------------------------*/
|
||||
FLOAT32 CompareProtos (
|
||||
PROTO p1,
|
||||
PROTO p2)
|
||||
|
||||
FLOAT32 CompareProtos(PROTO p1, PROTO p2) {
|
||||
/*
|
||||
** Parameters:
|
||||
** p1, p2 protos to be compared
|
||||
** Globals: none
|
||||
** Operation: Compare protos p1 and p2 and return an estimate of the
|
||||
** worst evidence rating that will result for any part of p1
|
||||
** that is compared to p2. In other words, if p1 were broken
|
||||
** into pico-features and each pico-feature was matched to p2,
|
||||
** what is the worst evidence rating that will be achieved for
|
||||
** any pico-feature.
|
||||
** Return: Worst possible result when matching p1 to p2.
|
||||
** Exceptions: none
|
||||
** History: Mon Nov 26 08:27:53 1990, DSJ, Created.
|
||||
** Parameters:
|
||||
** p1, p2 protos to be compared
|
||||
** Globals: none
|
||||
** Operation: Compare protos p1 and p2 and return an estimate of the
|
||||
** worst evidence rating that will result for any part of p1
|
||||
** that is compared to p2. In other words, if p1 were broken
|
||||
** into pico-features and each pico-feature was matched to p2,
|
||||
** what is the worst evidence rating that will be achieved for
|
||||
** any pico-feature.
|
||||
** Return: Worst possible result when matching p1 to p2.
|
||||
** Exceptions: none
|
||||
** History: Mon Nov 26 08:27:53 1990, DSJ, Created.
|
||||
*/
|
||||
FEATURE Feature;
|
||||
FLOAT32 WorstEvidence = WORST_EVIDENCE;
|
||||
FLOAT32 Evidence;
|
||||
FLOAT32 Angle, Length;
|
||||
|
||||
{
|
||||
FEATURE Feature;
|
||||
FLOAT32 WorstEvidence = WORST_EVIDENCE;
|
||||
FLOAT32 Evidence;
|
||||
FLOAT32 Angle, Length;
|
||||
/* if p1 and p2 are not close in length, don't let them match */
|
||||
Length = fabs (p1->Length - p2->Length);
|
||||
if (Length > MAX_LENGTH_MISMATCH)
|
||||
return (0.0);
|
||||
|
||||
/* if p1 and p2 are not close in length, don't let them match */
|
||||
Length = fabs (p1->Length - p2->Length);
|
||||
if (Length > MAX_LENGTH_MISMATCH)
|
||||
return (0.0);
|
||||
/* create a dummy pico-feature to be used for comparisons */
|
||||
Feature = NewFeature (&PicoFeatDesc);
|
||||
Feature->Params[PicoFeatDir] = p1->Angle;
|
||||
|
||||
/* create a dummy pico-feature to be used for comparisons */
|
||||
Feature = NewFeature (&PicoFeatDesc);
|
||||
Feature->Params[PicoFeatDir] = p1->Angle;
|
||||
/* convert angle to radians */
|
||||
Angle = p1->Angle * 2.0 * PI;
|
||||
|
||||
/* convert angle to radians */
|
||||
Angle = p1->Angle * 2.0 * PI;
|
||||
/* find distance from center of p1 to 1/2 picofeat from end */
|
||||
Length = p1->Length / 2.0 - GetPicoFeatureLength () / 2.0;
|
||||
if (Length < 0) Length = 0;
|
||||
|
||||
/* find distance from center of p1 to 1/2 picofeat from end */
|
||||
Length = p1->Length / 2.0 - GetPicoFeatureLength () / 2.0;
|
||||
if (Length < 0) Length = 0;
|
||||
/* set the dummy pico-feature at one end of p1 and match it to p2 */
|
||||
Feature->Params[PicoFeatX] = p1->X + cos (Angle) * Length;
|
||||
Feature->Params[PicoFeatY] = p1->Y + sin (Angle) * Length;
|
||||
if (DummyFastMatch (Feature, p2)) {
|
||||
Evidence = SubfeatureEvidence (Feature, p2);
|
||||
if (Evidence < WorstEvidence)
|
||||
WorstEvidence = Evidence;
|
||||
} else {
|
||||
FreeFeature(Feature);
|
||||
return 0.0;
|
||||
}
|
||||
|
||||
/* set the dummy pico-feature at one end of p1 and match it to p2 */
|
||||
Feature->Params[PicoFeatX] = p1->X + cos (Angle) * Length;
|
||||
Feature->Params[PicoFeatY] = p1->Y + sin (Angle) * Length;
|
||||
if (DummyFastMatch (Feature, p2))
|
||||
{
|
||||
Evidence = SubfeatureEvidence (Feature, p2);
|
||||
if (Evidence < WorstEvidence)
|
||||
WorstEvidence = Evidence;
|
||||
}
|
||||
else
|
||||
{
|
||||
FreeFeature (Feature);
|
||||
return (0.0);
|
||||
}
|
||||
/* set the dummy pico-feature at the other end of p1 and match it to p2 */
|
||||
Feature->Params[PicoFeatX] = p1->X - cos (Angle) * Length;
|
||||
Feature->Params[PicoFeatY] = p1->Y - sin (Angle) * Length;
|
||||
if (DummyFastMatch (Feature, p2)) {
|
||||
Evidence = SubfeatureEvidence (Feature, p2);
|
||||
if (Evidence < WorstEvidence)
|
||||
WorstEvidence = Evidence;
|
||||
} else {
|
||||
FreeFeature(Feature);
|
||||
return 0.0;
|
||||
}
|
||||
|
||||
/* set the dummy pico-feature at the other end of p1 and match it to p2 */
|
||||
Feature->Params[PicoFeatX] = p1->X - cos (Angle) * Length;
|
||||
Feature->Params[PicoFeatY] = p1->Y - sin (Angle) * Length;
|
||||
if (DummyFastMatch (Feature, p2))
|
||||
{
|
||||
Evidence = SubfeatureEvidence (Feature, p2);
|
||||
if (Evidence < WorstEvidence)
|
||||
WorstEvidence = Evidence;
|
||||
}
|
||||
else
|
||||
{
|
||||
FreeFeature (Feature);
|
||||
return (0.0);
|
||||
}
|
||||
FreeFeature (Feature);
|
||||
return (WorstEvidence);
|
||||
|
||||
FreeFeature (Feature);
|
||||
return (WorstEvidence);
|
||||
|
||||
} /* CompareProtos */
|
||||
} /* CompareProtos */
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
void ComputeMergedProto (
|
||||
PROTO p1,
|
||||
PROTO p2,
|
||||
FLOAT32 w1,
|
||||
FLOAT32 w2,
|
||||
PROTO MergedProto)
|
||||
PROTO p1,
|
||||
PROTO p2,
|
||||
FLOAT32 w1,
|
||||
FLOAT32 w2,
|
||||
PROTO MergedProto)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** p1, p2 protos to be merged
|
||||
** w1, w2 weight of each proto
|
||||
** MergedProto place to put resulting merged proto
|
||||
** Globals: none
|
||||
** Operation: This routine computes a proto which is the weighted
|
||||
** average of protos p1 and p2. The new proto is returned
|
||||
** in MergedProto.
|
||||
** Return: none (results are returned in MergedProto)
|
||||
** Exceptions: none
|
||||
** History: Mon Nov 26 08:15:08 1990, DSJ, Created.
|
||||
** Parameters:
|
||||
** p1, p2 protos to be merged
|
||||
** w1, w2 weight of each proto
|
||||
** MergedProto place to put resulting merged proto
|
||||
** Globals: none
|
||||
** Operation: This routine computes a proto which is the weighted
|
||||
** average of protos p1 and p2. The new proto is returned
|
||||
** in MergedProto.
|
||||
** Return: none (results are returned in MergedProto)
|
||||
** Exceptions: none
|
||||
** History: Mon Nov 26 08:15:08 1990, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
FLOAT32 TotalWeight;
|
||||
FLOAT32 TotalWeight;
|
||||
|
||||
TotalWeight = w1 + w2;
|
||||
w1 /= TotalWeight;
|
||||
w2 /= TotalWeight;
|
||||
TotalWeight = w1 + w2;
|
||||
w1 /= TotalWeight;
|
||||
w2 /= TotalWeight;
|
||||
|
||||
MergedProto->X = p1->X * w1 + p2->X * w2;
|
||||
MergedProto->Y = p1->Y * w1 + p2->Y * w2;
|
||||
MergedProto->Length = p1->Length * w1 + p2->Length * w2;
|
||||
MergedProto->Angle = p1->Angle * w1 + p2->Angle * w2;
|
||||
FillABC (MergedProto);
|
||||
|
||||
} /* ComputeMergedProto */
|
||||
MergedProto->X = p1->X * w1 + p2->X * w2;
|
||||
MergedProto->Y = p1->Y * w1 + p2->Y * w2;
|
||||
MergedProto->Length = p1->Length * w1 + p2->Length * w2;
|
||||
MergedProto->Angle = p1->Angle * w1 + p2->Angle * w2;
|
||||
FillABC(MergedProto);
|
||||
} /* ComputeMergedProto */
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
int FindClosestExistingProto (
|
||||
CLASS_TYPE Class,
|
||||
int NumMerged[],
|
||||
PROTOTYPE *Prototype)
|
||||
|
||||
int FindClosestExistingProto(CLASS_TYPE Class, int NumMerged[],
|
||||
PROTOTYPE *Prototype) {
|
||||
/*
|
||||
** Parameters:
|
||||
** Class class to search for matching old proto in
|
||||
** NumMerged[] # of protos merged into each proto of Class
|
||||
** Prototype new proto to find match for
|
||||
** Globals: none
|
||||
** Operation: This routine searches thru all of the prototypes in
|
||||
** Class and returns the id of the proto which would provide
|
||||
** the best approximation of Prototype. If no close
|
||||
** approximation can be found, NO_PROTO is returned.
|
||||
** Return: Id of closest proto in Class or NO_PROTO.
|
||||
** Exceptions: none
|
||||
** History: Sat Nov 24 11:42:58 1990, DSJ, Created.
|
||||
** Parameters:
|
||||
** Class class to search for matching old proto in
|
||||
** NumMerged[] # of protos merged into each proto of Class
|
||||
** Prototype new proto to find match for
|
||||
** Globals: none
|
||||
** Operation: This routine searches thru all of the prototypes in
|
||||
** Class and returns the id of the proto which would provide
|
||||
** the best approximation of Prototype. If no close
|
||||
** approximation can be found, NO_PROTO is returned.
|
||||
** Return: Id of closest proto in Class or NO_PROTO.
|
||||
** Exceptions: none
|
||||
** History: Sat Nov 24 11:42:58 1990, DSJ, Created.
|
||||
*/
|
||||
PROTO_STRUCT NewProto;
|
||||
PROTO_STRUCT MergedProto;
|
||||
int Pid;
|
||||
PROTO Proto;
|
||||
int BestProto;
|
||||
FLOAT32 BestMatch;
|
||||
FLOAT32 Match, OldMatch, NewMatch;
|
||||
|
||||
{
|
||||
PROTO_STRUCT NewProto;
|
||||
PROTO_STRUCT MergedProto;
|
||||
int Pid;
|
||||
PROTO Proto;
|
||||
int BestProto;
|
||||
FLOAT32 BestMatch;
|
||||
FLOAT32 Match, OldMatch, NewMatch;
|
||||
MakeNewFromOld (&NewProto, Prototype);
|
||||
|
||||
MakeNewFromOld (&NewProto, Prototype);
|
||||
|
||||
BestProto = NO_PROTO;
|
||||
BestMatch = WORST_MATCH_ALLOWED;
|
||||
for (Pid = 0; Pid < Class->NumProtos; Pid++)
|
||||
{
|
||||
Proto = ProtoIn (Class, Pid);
|
||||
ComputeMergedProto (Proto, &NewProto,
|
||||
(FLOAT32) NumMerged[Pid], 1.0, &MergedProto);
|
||||
OldMatch = CompareProtos (Proto, &MergedProto);
|
||||
NewMatch = CompareProtos (&NewProto, &MergedProto);
|
||||
Match = MIN (OldMatch, NewMatch);
|
||||
if (Match > BestMatch)
|
||||
{
|
||||
BestProto = Pid;
|
||||
BestMatch = Match;
|
||||
}
|
||||
BestProto = NO_PROTO;
|
||||
BestMatch = WORST_MATCH_ALLOWED;
|
||||
for (Pid = 0; Pid < Class->NumProtos; Pid++) {
|
||||
Proto = ProtoIn(Class, Pid);
|
||||
ComputeMergedProto(Proto, &NewProto,
|
||||
(FLOAT32) NumMerged[Pid], 1.0, &MergedProto);
|
||||
OldMatch = CompareProtos(Proto, &MergedProto);
|
||||
NewMatch = CompareProtos(&NewProto, &MergedProto);
|
||||
Match = MIN(OldMatch, NewMatch);
|
||||
if (Match > BestMatch) {
|
||||
BestProto = Pid;
|
||||
BestMatch = Match;
|
||||
}
|
||||
return (BestProto);
|
||||
|
||||
} /* FindClosestExistingProto */
|
||||
}
|
||||
return BestProto;
|
||||
} /* FindClosestExistingProto */
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
void MakeNewFromOld (
|
||||
PROTO New,
|
||||
PROTOTYPE *Old)
|
||||
|
||||
void MakeNewFromOld(PROTO New, PROTOTYPE *Old) {
|
||||
/*
|
||||
** Parameters:
|
||||
** New new proto to be filled in
|
||||
** Old old proto to be converted
|
||||
** Globals: none
|
||||
** Operation: This fills in the fields of the New proto based on the
|
||||
** fields of the Old proto.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Mon Nov 26 09:45:39 1990, DSJ, Created.
|
||||
** Parameters:
|
||||
** New new proto to be filled in
|
||||
** Old old proto to be converted
|
||||
** Globals: none
|
||||
** Operation: This fills in the fields of the New proto based on the
|
||||
** fields of the Old proto.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Mon Nov 26 09:45:39 1990, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
New->X = CenterX (Old->Mean);
|
||||
New->Y = CenterY (Old->Mean);
|
||||
New->Length = LengthOf (Old->Mean);
|
||||
New->Angle = OrientationOf (Old->Mean);
|
||||
FillABC (New);
|
||||
|
||||
} /* MakeNewFromOld */
|
||||
New->X = CenterX(Old->Mean);
|
||||
New->Y = CenterY(Old->Mean);
|
||||
New->Length = LengthOf(Old->Mean);
|
||||
New->Angle = OrientationOf(Old->Mean);
|
||||
FillABC(New);
|
||||
} /* MakeNewFromOld */
|
||||
|
||||
/*-------------------once in subfeat---------------------------------*/
|
||||
/**********************************************************************
|
||||
* InitSubfeatureVars
|
||||
*
|
||||
* Create and set up all menus and variables needed for this file.
|
||||
**********************************************************************/
|
||||
void InitSubfeatureVars ()
|
||||
{
|
||||
MakeAngleMatchScale ();
|
||||
MakeSimilarityCurl ();
|
||||
MakeSimilarityMidpoint ();
|
||||
}
|
||||
|
||||
|
||||
/**********************************************************************
|
||||
* SubfeatureEvidence
|
||||
*
|
||||
* Compare a feature to a prototype. Print the result.
|
||||
**********************************************************************/
|
||||
FLOAT32 SubfeatureEvidence (
|
||||
FEATURE Feature,
|
||||
PROTO Proto)
|
||||
{
|
||||
float Distance;
|
||||
float Dangle;
|
||||
FLOAT32 SubfeatureEvidence(FEATURE Feature, PROTO Proto) {
|
||||
float Distance;
|
||||
float Dangle;
|
||||
|
||||
Dangle = Proto->Angle - Feature->Params[PicoFeatDir];
|
||||
if (Dangle < -0.5) Dangle += 1.0;
|
||||
if (Dangle > 0.5) Dangle -= 1.0;
|
||||
Dangle *= AngleMatchScale;
|
||||
Dangle = Proto->Angle - Feature->Params[PicoFeatDir];
|
||||
if (Dangle < -0.5) Dangle += 1.0;
|
||||
if (Dangle > 0.5) Dangle -= 1.0;
|
||||
Dangle *= training_angle_match_scale;
|
||||
|
||||
Distance = Proto->A * Feature->Params[PicoFeatX] +
|
||||
Proto->B * Feature->Params[PicoFeatY] +
|
||||
Proto->C;
|
||||
Distance = Proto->A * Feature->Params[PicoFeatX] +
|
||||
Proto->B * Feature->Params[PicoFeatY] +
|
||||
Proto->C;
|
||||
|
||||
return (EvidenceOf (Distance * Distance + Dangle * Dangle));
|
||||
return (EvidenceOf (Distance * Distance + Dangle * Dangle));
|
||||
}
|
||||
|
||||
/**********************************************************************
|
||||
@ -310,142 +263,110 @@ FLOAT32 EvidenceOf (
|
||||
register FLOAT32 Similarity)
|
||||
{
|
||||
|
||||
Similarity /= SimilarityMidpoint;
|
||||
Similarity /= training_similarity_midpoint;
|
||||
|
||||
if (SimilarityCurl == 3)
|
||||
Similarity = Similarity * Similarity * Similarity;
|
||||
else if (SimilarityCurl == 2)
|
||||
Similarity = Similarity * Similarity;
|
||||
else
|
||||
Similarity = pow (Similarity, SimilarityCurl);
|
||||
if (training_similarity_curl == 3)
|
||||
Similarity = Similarity * Similarity * Similarity;
|
||||
else if (training_similarity_curl == 2)
|
||||
Similarity = Similarity * Similarity;
|
||||
else
|
||||
Similarity = static_cast<float>(pow(static_cast<double>(Similarity),
|
||||
training_similarity_curl));
|
||||
|
||||
return (1.0 / (1.0 + Similarity));
|
||||
return (1.0 / (1.0 + Similarity));
|
||||
}
|
||||
|
||||
/*-----------------------------once in fasttrain----------------------------------*/
|
||||
void InitFastTrainerVars ()
|
||||
/*
|
||||
** Parameters: none
|
||||
** Globals: none
|
||||
** Operation: This routine initializes all of the control variables
|
||||
** for the fast trainer.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Mon Nov 12 13:27:35 1990, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
MakeTangentBBoxPad ();
|
||||
MakeOrthogonalBBoxPad ();
|
||||
MakeAnglePad ();
|
||||
|
||||
} /* InitFastTrainerVars */
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
BOOL8 DummyFastMatch (
|
||||
FEATURE Feature,
|
||||
PROTO Proto)
|
||||
FEATURE Feature,
|
||||
PROTO Proto)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** Feature feature to be "fast matched" to proto
|
||||
** Proto proto being "fast matched" against
|
||||
** Globals:
|
||||
** TangentBBoxPad bounding box pad tangent to proto
|
||||
** OrthogonalBBoxPad bounding box pad orthogonal to proto
|
||||
** Operation: This routine returns TRUE if Feature would be matched
|
||||
** by a fast match table built from Proto.
|
||||
** Return: TRUE if feature could match Proto.
|
||||
** Exceptions: none
|
||||
** History: Wed Nov 14 17:19:58 1990, DSJ, Created.
|
||||
** Parameters:
|
||||
** Feature feature to be "fast matched" to proto
|
||||
** Proto proto being "fast matched" against
|
||||
** Globals:
|
||||
** training_tangent_bbox_pad bounding box pad tangent to proto
|
||||
** training_orthogonal_bbox_pad bounding box pad orthogonal to proto
|
||||
** Operation: This routine returns TRUE if Feature would be matched
|
||||
** by a fast match table built from Proto.
|
||||
** Return: TRUE if feature could match Proto.
|
||||
** Exceptions: none
|
||||
** History: Wed Nov 14 17:19:58 1990, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
FRECT BoundingBox;
|
||||
FLOAT32 MaxAngleError;
|
||||
FLOAT32 AngleError;
|
||||
FRECT BoundingBox;
|
||||
FLOAT32 MaxAngleError;
|
||||
FLOAT32 AngleError;
|
||||
|
||||
MaxAngleError = AnglePad / 360.0;
|
||||
AngleError = fabs (Proto->Angle - Feature->Params[PicoFeatDir]);
|
||||
if (AngleError > 0.5)
|
||||
AngleError = 1.0 - AngleError;
|
||||
MaxAngleError = training_angle_pad / 360.0;
|
||||
AngleError = fabs (Proto->Angle - Feature->Params[PicoFeatDir]);
|
||||
if (AngleError > 0.5)
|
||||
AngleError = 1.0 - AngleError;
|
||||
|
||||
if (AngleError > MaxAngleError)
|
||||
return (FALSE);
|
||||
if (AngleError > MaxAngleError)
|
||||
return (FALSE);
|
||||
|
||||
ComputePaddedBoundingBox (Proto,
|
||||
TangentBBoxPad * GetPicoFeatureLength (),
|
||||
OrthogonalBBoxPad * GetPicoFeatureLength (),
|
||||
&BoundingBox);
|
||||
ComputePaddedBoundingBox (Proto,
|
||||
training_tangent_bbox_pad * GetPicoFeatureLength (),
|
||||
training_orthogonal_bbox_pad * GetPicoFeatureLength (),
|
||||
&BoundingBox);
|
||||
|
||||
return (PointInside (&BoundingBox,
|
||||
Feature->Params[PicoFeatX],
|
||||
Feature->Params[PicoFeatY]));
|
||||
|
||||
} /* DummyFastMatch */
|
||||
return PointInside(&BoundingBox, Feature->Params[PicoFeatX],
|
||||
Feature->Params[PicoFeatY]);
|
||||
} /* DummyFastMatch */
|
||||
|
||||
/*----------------------------------------------------------------------------*/
|
||||
void ComputePaddedBoundingBox (
|
||||
PROTO Proto,
|
||||
FLOAT32 TangentPad,
|
||||
FLOAT32 OrthogonalPad,
|
||||
FRECT *BoundingBox)
|
||||
|
||||
void ComputePaddedBoundingBox (PROTO Proto, FLOAT32 TangentPad,
|
||||
FLOAT32 OrthogonalPad, FRECT *BoundingBox) {
|
||||
/*
|
||||
** Parameters:
|
||||
** Proto proto to compute bounding box for
|
||||
** TangentPad amount of pad to add in direction of segment
|
||||
** OrthogonalPad amount of pad to add orthogonal to segment
|
||||
** BoundingBox place to put results
|
||||
** Globals: none
|
||||
** Operation: This routine computes a bounding box that encloses the
|
||||
** specified proto along with some padding. The
|
||||
** amount of padding is specified as separate distances
|
||||
** in the tangential and orthogonal directions.
|
||||
** Return: none (results are returned in BoundingBox)
|
||||
** Exceptions: none
|
||||
** History: Wed Nov 14 14:55:30 1990, DSJ, Created.
|
||||
** Parameters:
|
||||
** Proto proto to compute bounding box for
|
||||
** TangentPad amount of pad to add in direction of segment
|
||||
** OrthogonalPad amount of pad to add orthogonal to segment
|
||||
** BoundingBox place to put results
|
||||
** Globals: none
|
||||
** Operation: This routine computes a bounding box that encloses the
|
||||
** specified proto along with some padding. The
|
||||
** amount of padding is specified as separate distances
|
||||
** in the tangential and orthogonal directions.
|
||||
** Return: none (results are returned in BoundingBox)
|
||||
** Exceptions: none
|
||||
** History: Wed Nov 14 14:55:30 1990, DSJ, Created.
|
||||
*/
|
||||
FLOAT32 Pad, Length, Angle;
|
||||
FLOAT32 CosOfAngle, SinOfAngle;
|
||||
|
||||
{
|
||||
FLOAT32 Pad, Length, Angle;
|
||||
FLOAT32 CosOfAngle, SinOfAngle;
|
||||
Length = Proto->Length / 2.0 + TangentPad;
|
||||
Angle = Proto->Angle * 2.0 * PI;
|
||||
CosOfAngle = fabs(cos(Angle));
|
||||
SinOfAngle = fabs(sin(Angle));
|
||||
|
||||
Length = Proto->Length / 2.0 + TangentPad;
|
||||
Angle = Proto->Angle * 2.0 * PI;
|
||||
CosOfAngle = fabs (cos (Angle));
|
||||
SinOfAngle = fabs (sin (Angle));
|
||||
Pad = MAX (CosOfAngle * Length, SinOfAngle * OrthogonalPad);
|
||||
BoundingBox->MinX = Proto->X - Pad;
|
||||
BoundingBox->MaxX = Proto->X + Pad;
|
||||
|
||||
Pad = MAX (CosOfAngle * Length, SinOfAngle * OrthogonalPad);
|
||||
BoundingBox->MinX = Proto->X - Pad;
|
||||
BoundingBox->MaxX = Proto->Y + Pad;
|
||||
Pad = MAX(SinOfAngle * Length, CosOfAngle * OrthogonalPad);
|
||||
BoundingBox->MinY = Proto->Y - Pad;
|
||||
BoundingBox->MaxY = Proto->Y + Pad;
|
||||
|
||||
Pad = MAX (SinOfAngle * Length, CosOfAngle * OrthogonalPad);
|
||||
BoundingBox->MinY = Proto->Y - Pad;
|
||||
BoundingBox->MaxY = Proto->Y + Pad;
|
||||
|
||||
} /* ComputePaddedBoundingBox */
|
||||
} /* ComputePaddedBoundingBox */
|
||||
|
||||
/*--------------------------------------------------------------------------*/
|
||||
BOOL8 PointInside (
|
||||
FRECT *Rectangle,
|
||||
FLOAT32 X,
|
||||
FLOAT32 Y)
|
||||
|
||||
BOOL8 PointInside(FRECT *Rectangle, FLOAT32 X, FLOAT32 Y) {
|
||||
/*
|
||||
** Parameters:
|
||||
** Globals: none
|
||||
** Operation: Return TRUE if point (X,Y) is inside of Rectangle.
|
||||
** Return: Return TRUE if point (X,Y) is inside of Rectangle.
|
||||
** Exceptions: none
|
||||
** History: Wed Nov 14 17:26:35 1990, DSJ, Created.
|
||||
** Parameters:
|
||||
** Globals: none
|
||||
** Operation: Return TRUE if point (X,Y) is inside of Rectangle.
|
||||
** Return: Return TRUE if point (X,Y) is inside of Rectangle.
|
||||
** Exceptions: none
|
||||
** History: Wed Nov 14 17:26:35 1990, DSJ, Created.
|
||||
*/
|
||||
if (X < Rectangle->MinX) return (FALSE);
|
||||
if (X > Rectangle->MaxX) return (FALSE);
|
||||
if (Y < Rectangle->MinY) return (FALSE);
|
||||
if (Y > Rectangle->MaxY) return (FALSE);
|
||||
return (TRUE);
|
||||
|
||||
{
|
||||
if (X < Rectangle->MinX) return (FALSE);
|
||||
if (X > Rectangle->MaxX) return (FALSE);
|
||||
if (Y < Rectangle->MinY) return (FALSE);
|
||||
if (Y > Rectangle->MaxY) return (FALSE);
|
||||
return (TRUE);
|
||||
|
||||
} /* PointInside */
|
||||
} /* PointInside */
|
||||
|
||||
@ -21,7 +21,8 @@
|
||||
#include "protos.h"
|
||||
#include "cluster.h"
|
||||
#include "ocrfeatures.h"
|
||||
#include "training.h"
|
||||
#include "callcpp.h"
|
||||
#include "picofeat.h"
|
||||
|
||||
|
||||
#define WORST_MATCH_ALLOWED (0.9)
|
||||
@ -37,8 +38,6 @@
|
||||
#define MFLENGTH 2
|
||||
#define ORIENTATION 3
|
||||
|
||||
typedef enum {PicoFeatY, PicoFeatDir, PicoFeatX} PICO_FEAT_PARAM_NAME;
|
||||
|
||||
typedef struct
|
||||
{
|
||||
FLOAT32 MinX, MaxX, MinY, MaxY;
|
||||
@ -75,8 +74,6 @@ void MakeNewFromOld (
|
||||
PROTO New,
|
||||
PROTOTYPE *Old);
|
||||
|
||||
void InitSubfeatureVars ();
|
||||
|
||||
FLOAT32 SubfeatureEvidence (
|
||||
FEATURE Feature,
|
||||
PROTO Proto);
|
||||
@ -84,8 +81,6 @@ FLOAT32 SubfeatureEvidence (
|
||||
FLOAT32 EvidenceOf (
|
||||
register FLOAT32 Similarity);
|
||||
|
||||
void InitFastTrainerVars ();
|
||||
|
||||
BOOL8 DummyFastMatch (
|
||||
FEATURE Feature,
|
||||
PROTO Proto);
|
||||
@ -102,5 +97,3 @@ BOOL8 PointInside (
|
||||
FLOAT32 Y);
|
||||
|
||||
extern FEATURE_DESC_STRUCT PicoFeatDesc;
|
||||
|
||||
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
640
training/mftraining.cpp
Normal file
640
training/mftraining.cpp
Normal file
@ -0,0 +1,640 @@
|
||||
/******************************************************************************
|
||||
** Filename: mftraining.c
|
||||
** Purpose: Separates training pages into files for each character.
|
||||
** Strips from files only the features and there parameters of
|
||||
the feature type mf.
|
||||
** Author: Dan Johnson
|
||||
** Revisment: Christy Russon
|
||||
** Environment: HPUX 6.5
|
||||
** Library: HPUX 6.5
|
||||
** History: Fri Aug 18 08:53:50 1989, DSJ, Created.
|
||||
** 5/25/90, DSJ, Adapted to multiple feature types.
|
||||
** Tuesday, May 17, 1998 Changes made to make feature specific and
|
||||
** simplify structures. First step in simplifying training process.
|
||||
**
|
||||
** (c) Copyright Hewlett-Packard Company, 1988.
|
||||
** Licensed under the Apache License, Version 2.0 (the "License");
|
||||
** you may not use this file except in compliance with the License.
|
||||
** You may obtain a copy of the License at
|
||||
** http://www.apache.org/licenses/LICENSE-2.0
|
||||
** Unless required by applicable law or agreed to in writing, software
|
||||
** distributed under the License is distributed on an "AS IS" BASIS,
|
||||
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
** See the License for the specific language governing permissions and
|
||||
** limitations under the License.
|
||||
******************************************************************************/
|
||||
/**----------------------------------------------------------------------------
|
||||
Include Files and Type Defines
|
||||
----------------------------------------------------------------------------**/
|
||||
#include "oldlist.h"
|
||||
#include "efio.h"
|
||||
#include "emalloc.h"
|
||||
#include "featdefs.h"
|
||||
#include "tessopt.h"
|
||||
#include "ocrfeatures.h"
|
||||
#include "mf.h"
|
||||
#include "general.h"
|
||||
#include "clusttool.h"
|
||||
#include "cluster.h"
|
||||
#include "protos.h"
|
||||
#include "ndminx.h"
|
||||
#include "tprintf.h"
|
||||
#include "const.h"
|
||||
#include "mergenf.h"
|
||||
#include "name2char.h"
|
||||
#include "intproto.h"
|
||||
#include "freelist.h"
|
||||
#include "efio.h"
|
||||
#include "danerror.h"
|
||||
#include "globals.h"
|
||||
#include "commontraining.h"
|
||||
#include "unicity_table.h"
|
||||
#include "genericvector.h"
|
||||
#include "classify.h"
|
||||
|
||||
#include <string.h>
|
||||
#include <stdio.h>
|
||||
#define _USE_MATH_DEFINES
|
||||
#include <math.h>
|
||||
#ifdef WIN32
|
||||
#ifndef M_PI
|
||||
#define M_PI 3.14159265358979323846
|
||||
#endif
|
||||
#endif
|
||||
|
||||
#define PROGRAM_FEATURE_TYPE "mf"
|
||||
#define MINSD (1.0f / 128.0f)
|
||||
|
||||
static const char* kInputUnicharsetFile = "unicharset";
|
||||
static const char* kOutputUnicharsetFile = "mfunicharset";
|
||||
/**----------------------------------------------------------------------------
|
||||
Public Function Prototypes
|
||||
----------------------------------------------------------------------------**/
|
||||
int main (
|
||||
int argc,
|
||||
char **argv);
|
||||
|
||||
/**----------------------------------------------------------------------------
|
||||
Private Function Prototypes
|
||||
----------------------------------------------------------------------------**/
|
||||
LIST ReadTrainingSamples (
|
||||
FILE *File);
|
||||
|
||||
void WriteClusteredTrainingSamples (
|
||||
char *Directory,
|
||||
LIST ProtoList,
|
||||
CLUSTERER *Clusterer,
|
||||
LABELEDLIST CharSample);
|
||||
/**/
|
||||
void WriteMergedTrainingSamples(
|
||||
char *Directory,
|
||||
LIST ClassList);
|
||||
|
||||
void WriteMicrofeat(
|
||||
char *Directory,
|
||||
LIST ClassList);
|
||||
|
||||
void WriteProtos(
|
||||
FILE* File,
|
||||
MERGE_CLASS MergeClass);
|
||||
|
||||
void WriteConfigs(
|
||||
FILE* File,
|
||||
CLASS_TYPE Class);
|
||||
|
||||
/*
|
||||
PARAMDESC *ConvertToPARAMDESC(
|
||||
PARAM_DESC* Param_Desc,
|
||||
int N);
|
||||
*/
|
||||
|
||||
void WritePFFMTable(INT_TEMPLATES Templates, const char* filename);
|
||||
|
||||
// global variable to hold configuration parameters to control clustering
|
||||
// -M 0.40 -B 0.05 -I 1.0 -C 1e-6.
|
||||
CLUSTERCONFIG Config =
|
||||
{ elliptical, 0.625, 0.05, 1.0, 1e-6, 0 };
|
||||
|
||||
|
||||
/*----------------------------------------------------------------------------
|
||||
Public Code
|
||||
-----------------------------------------------------------------------------*/
|
||||
void DisplayProtoList(const char* ch, LIST protolist) {
|
||||
void* window = c_create_window("Char samples", 50, 200,
|
||||
520, 520, -130.0, 130.0, -130.0, 130.0);
|
||||
LIST proto = protolist;
|
||||
iterate(proto) {
|
||||
PROTOTYPE* prototype = reinterpret_cast<PROTOTYPE *>(first_node(proto));
|
||||
if (prototype->Significant)
|
||||
c_line_color_index(window, Green);
|
||||
else if (prototype->NumSamples == 0)
|
||||
c_line_color_index(window, Blue);
|
||||
else if (prototype->Merged)
|
||||
c_line_color_index(window, Magenta);
|
||||
else
|
||||
c_line_color_index(window, Red);
|
||||
float x = CenterX(prototype->Mean);
|
||||
float y = CenterY(prototype->Mean);
|
||||
double angle = OrientationOf(prototype->Mean) * 2 * M_PI;
|
||||
float dx = static_cast<float>(LengthOf(prototype->Mean) * cos(angle) / 2);
|
||||
float dy = static_cast<float>(LengthOf(prototype->Mean) * sin(angle) / 2);
|
||||
c_move(window, (x - dx) * 256, (y - dy) * 256);
|
||||
c_draw(window, (x + dx) * 256, (y + dy) * 256);
|
||||
if (prototype->Significant)
|
||||
tprintf("Green proto at (%g,%g)+(%g,%g) %d samples\n",
|
||||
x, y, dx, dy, prototype->NumSamples);
|
||||
else if (prototype->NumSamples > 0 && !prototype->Merged)
|
||||
tprintf("Red proto at (%g,%g)+(%g,%g) %d samples\n",
|
||||
x, y, dx, dy, prototype->NumSamples);
|
||||
}
|
||||
c_make_current(window);
|
||||
}
|
||||
|
||||
char* new_dup(const char* str) {
|
||||
int len = strlen(str);
|
||||
char* new_str = new char[len + 1];
|
||||
strcpy(new_str, str);
|
||||
return new_str;
|
||||
}
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
int main (int argc, char **argv) {
|
||||
/*
|
||||
** Parameters:
|
||||
** argc number of command line arguments
|
||||
** argv array of command line arguments
|
||||
** Globals: none
|
||||
** Operation:
|
||||
** This program reads in a text file consisting of feature
|
||||
** samples from a training page in the following format:
|
||||
**
|
||||
** FontName CharName NumberOfFeatureTypes(N)
|
||||
** FeatureTypeName1 NumberOfFeatures(M)
|
||||
** Feature1
|
||||
** ...
|
||||
** FeatureM
|
||||
** FeatureTypeName2 NumberOfFeatures(M)
|
||||
** Feature1
|
||||
** ...
|
||||
** FeatureM
|
||||
** ...
|
||||
** FeatureTypeNameN NumberOfFeatures(M)
|
||||
** Feature1
|
||||
** ...
|
||||
** FeatureM
|
||||
** FontName CharName ...
|
||||
**
|
||||
** The result of this program is a binary inttemp file used by
|
||||
** the OCR engine.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 08:56:17 1989, DSJ, Created.
|
||||
** Mon May 18 1998, Christy Russson, Revistion started.
|
||||
*/
|
||||
char *PageName;
|
||||
FILE *TrainingPage;
|
||||
FILE *OutFile;
|
||||
LIST CharList;
|
||||
CLUSTERER *Clusterer = NULL;
|
||||
LIST ProtoList = NIL;
|
||||
LABELEDLIST CharSample;
|
||||
PROTOTYPE *Prototype;
|
||||
LIST ClassList = NIL;
|
||||
int Cid, Pid;
|
||||
PROTO Proto;
|
||||
PROTO_STRUCT DummyProto;
|
||||
BIT_VECTOR Config2;
|
||||
MERGE_CLASS MergeClass;
|
||||
INT_TEMPLATES IntTemplates;
|
||||
LIST pCharList, pProtoList;
|
||||
char Filename[MAXNAMESIZE];
|
||||
tesseract::Classify classify;
|
||||
|
||||
ParseArguments (argc, argv);
|
||||
if (InputUnicharsetFile == NULL) {
|
||||
InputUnicharsetFile = kInputUnicharsetFile;
|
||||
}
|
||||
if (OutputUnicharsetFile == NULL) {
|
||||
OutputUnicharsetFile = kOutputUnicharsetFile;
|
||||
}
|
||||
|
||||
if (!unicharset_training.load_from_file(InputUnicharsetFile)) {
|
||||
fprintf(stderr, "Failed to load unicharset from file %s\n"
|
||||
"Building unicharset for mftraining from scratch...\n",
|
||||
InputUnicharsetFile);
|
||||
unicharset_training.clear();
|
||||
// Space character needed to represent NIL classification.
|
||||
unicharset_training.unichar_insert(" ");
|
||||
}
|
||||
|
||||
|
||||
if (InputFontInfoFile != NULL) {
|
||||
FILE* f = fopen(InputFontInfoFile, "r");
|
||||
if (f == NULL) {
|
||||
fprintf(stderr, "Failed to load font_properties\n");
|
||||
} else {
|
||||
int italic, bold, fixed, serif, fraktur;
|
||||
while (!feof(f)) {
|
||||
FontInfo fontinfo;
|
||||
fontinfo.name = new char[1024];
|
||||
fontinfo.properties = 0;
|
||||
if (fscanf(f, "%1024s %i %i %i %i %i\n", fontinfo.name,
|
||||
&italic, &bold, &fixed, &serif, &fraktur) != 6)
|
||||
continue;
|
||||
fontinfo.properties =
|
||||
(italic << 0) +
|
||||
(bold << 1) +
|
||||
(fixed << 2) +
|
||||
(serif << 3) +
|
||||
(fraktur << 4);
|
||||
if (!classify.get_fontinfo_table().contains(fontinfo)) {
|
||||
classify.get_fontinfo_table().push_back(fontinfo);
|
||||
} else {
|
||||
fprintf(stderr, "Font %s already defined\n", fontinfo.name);
|
||||
return 1;
|
||||
}
|
||||
}
|
||||
fclose(f);
|
||||
}
|
||||
}
|
||||
|
||||
while ((PageName = GetNextFilename(argc, argv)) != NULL) {
|
||||
printf ("Reading %s ...\n", PageName);
|
||||
char *short_name = strrchr(PageName, '/');
|
||||
if (short_name == NULL)
|
||||
short_name = PageName;
|
||||
else
|
||||
++short_name;
|
||||
// filename is expected to be of the form [lang].[fontname].exp[num].tr
|
||||
// If it is, then set short_name to be the [fontname]. Otherwise it is just
|
||||
// the file basename with the .tr extension removed.
|
||||
char *font_dot = strchr(short_name, '.');
|
||||
char *exp_dot = (font_dot != NULL) ? strstr(font_dot, ".exp") : NULL;
|
||||
if (font_dot != NULL && exp_dot != NULL && font_dot != exp_dot) {
|
||||
short_name = new_dup(font_dot + 1);
|
||||
short_name[exp_dot - font_dot - 1] = '\0';
|
||||
} else {
|
||||
short_name = new_dup(short_name);
|
||||
int len = strlen(short_name);
|
||||
if (!strcmp(short_name + len - 3, ".tr"))
|
||||
short_name[len - 3] = '\0';
|
||||
}
|
||||
int fontinfo_id;
|
||||
FontInfo fontinfo;
|
||||
fontinfo.name = short_name;
|
||||
fontinfo.properties = 0; // Not used to lookup in the table
|
||||
if (!classify.get_fontinfo_table().contains(fontinfo)) {
|
||||
fontinfo_id = classify.get_fontinfo_table().push_back(fontinfo);
|
||||
printf("%s has no defined properties.\n", short_name);
|
||||
} else {
|
||||
fontinfo_id = classify.get_fontinfo_table().get_id(fontinfo);
|
||||
// Update the properties field
|
||||
fontinfo = classify.get_fontinfo_table().get(fontinfo_id);
|
||||
delete[] short_name;
|
||||
}
|
||||
TrainingPage = Efopen (PageName, "r");
|
||||
CharList = ReadTrainingSamples (TrainingPage);
|
||||
fclose (TrainingPage);
|
||||
//WriteTrainingSamples (Directory, CharList);
|
||||
pCharList = CharList;
|
||||
iterate(pCharList) {
|
||||
//Cluster
|
||||
CharSample = (LABELEDLIST) first_node (pCharList);
|
||||
// printf ("\nClustering %s ...", CharSample->Label);
|
||||
Clusterer = SetUpForClustering(CharSample, PROGRAM_FEATURE_TYPE);
|
||||
Config.MagicSamples = CharSample->SampleCount;
|
||||
ProtoList = ClusterSamples(Clusterer, &Config);
|
||||
CleanUpUnusedData(ProtoList);
|
||||
|
||||
//Merge
|
||||
MergeInsignificantProtos(ProtoList, CharSample->Label,
|
||||
Clusterer, &Config);
|
||||
if (strcmp(test_ch, CharSample->Label) == 0)
|
||||
DisplayProtoList(test_ch, ProtoList);
|
||||
ProtoList = RemoveInsignificantProtos(ProtoList, ShowSignificantProtos,
|
||||
ShowInsignificantProtos,
|
||||
Clusterer->SampleSize);
|
||||
FreeClusterer(Clusterer);
|
||||
MergeClass = FindClass (ClassList, CharSample->Label);
|
||||
if (MergeClass == NULL) {
|
||||
MergeClass = NewLabeledClass (CharSample->Label);
|
||||
ClassList = push (ClassList, MergeClass);
|
||||
}
|
||||
Cid = AddConfigToClass(MergeClass->Class);
|
||||
MergeClass->Class->font_set.push_back(fontinfo_id);
|
||||
pProtoList = ProtoList;
|
||||
iterate (pProtoList) {
|
||||
Prototype = (PROTOTYPE *) first_node (pProtoList);
|
||||
|
||||
// see if proto can be approximated by existing proto
|
||||
Pid = FindClosestExistingProto(MergeClass->Class,
|
||||
MergeClass->NumMerged, Prototype);
|
||||
if (Pid == NO_PROTO) {
|
||||
Pid = AddProtoToClass (MergeClass->Class);
|
||||
Proto = ProtoIn (MergeClass->Class, Pid);
|
||||
MakeNewFromOld (Proto, Prototype);
|
||||
MergeClass->NumMerged[Pid] = 1;
|
||||
}
|
||||
else {
|
||||
MakeNewFromOld (&DummyProto, Prototype);
|
||||
ComputeMergedProto (ProtoIn (MergeClass->Class, Pid), &DummyProto,
|
||||
(FLOAT32) MergeClass->NumMerged[Pid], 1.0,
|
||||
ProtoIn (MergeClass->Class, Pid));
|
||||
MergeClass->NumMerged[Pid] ++;
|
||||
}
|
||||
Config2 = MergeClass->Class->Configurations[Cid];
|
||||
AddProtoToConfig (Pid, Config2);
|
||||
}
|
||||
FreeProtoList (&ProtoList);
|
||||
}
|
||||
FreeTrainingSamples (CharList);
|
||||
}
|
||||
//WriteMergedTrainingSamples(Directory,ClassList);
|
||||
WriteMicrofeat(Directory, ClassList);
|
||||
SetUpForFloat2Int(ClassList);
|
||||
IntTemplates = classify.CreateIntTemplates(TrainingData,
|
||||
unicharset_training);
|
||||
strcpy (Filename, "");
|
||||
if (Directory != NULL) {
|
||||
strcat (Filename, Directory);
|
||||
strcat (Filename, "/");
|
||||
}
|
||||
strcat (Filename, "inttemp");
|
||||
#ifdef __UNIX__
|
||||
OutFile = Efopen (Filename, "w");
|
||||
#else
|
||||
OutFile = Efopen (Filename, "wb");
|
||||
#endif
|
||||
classify.WriteIntTemplates(OutFile, IntTemplates, unicharset_training);
|
||||
fclose (OutFile);
|
||||
strcpy (Filename, "");
|
||||
if (Directory != NULL) {
|
||||
strcat (Filename, Directory);
|
||||
strcat (Filename, "/");
|
||||
}
|
||||
strcat (Filename, "pffmtable");
|
||||
// Now create pffmtable.
|
||||
WritePFFMTable(IntTemplates, Filename);
|
||||
// Write updated unicharset to a file.
|
||||
if (!unicharset_training.save_to_file(OutputUnicharsetFile)) {
|
||||
fprintf(stderr, "Failed to save unicharset to file %s\n",
|
||||
OutputUnicharsetFile);
|
||||
exit(1);
|
||||
}
|
||||
printf ("Done!\n"); /**/
|
||||
FreeLabeledClassList (ClassList);
|
||||
return 0;
|
||||
} /* main */
|
||||
|
||||
|
||||
/**----------------------------------------------------------------------------
|
||||
Private Code
|
||||
----------------------------------------------------------------------------**/
|
||||
/*---------------------------------------------------------------------------*/
|
||||
LIST ReadTrainingSamples (
|
||||
FILE *File)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** File open text file to read samples from
|
||||
** Globals: none
|
||||
** Operation:
|
||||
** This routine reads training samples from a file and
|
||||
** places them into a data structure which organizes the
|
||||
** samples by FontName and CharName. It then returns this
|
||||
** data structure.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 13:11:39 1989, DSJ, Created.
|
||||
** Tue May 17 1998 simplifications to structure, illiminated
|
||||
** font, and feature specification levels of structure.
|
||||
*/
|
||||
|
||||
{
|
||||
char unichar[UNICHAR_LEN + 1];
|
||||
LABELEDLIST CharSample;
|
||||
FEATURE_SET FeatureSamples;
|
||||
LIST TrainingSamples = NIL;
|
||||
CHAR_DESC CharDesc;
|
||||
int Type, i;
|
||||
|
||||
while (fscanf (File, "%s %s", CTFontName, unichar) == 2) {
|
||||
if (!unicharset_training.contains_unichar(unichar)) {
|
||||
unicharset_training.unichar_insert(unichar);
|
||||
if (unicharset_training.size() > MAX_NUM_CLASSES) {
|
||||
cprintf("Error: Size of unicharset of mftraining is "
|
||||
"greater than MAX_NUM_CLASSES\n");
|
||||
exit(1);
|
||||
}
|
||||
}
|
||||
CharSample = FindList (TrainingSamples, unichar);
|
||||
if (CharSample == NULL) {
|
||||
CharSample = NewLabeledList (unichar);
|
||||
TrainingSamples = push (TrainingSamples, CharSample);
|
||||
}
|
||||
CharDesc = ReadCharDescription (File);
|
||||
Type = ShortNameToFeatureType(PROGRAM_FEATURE_TYPE);
|
||||
FeatureSamples = CharDesc->FeatureSets[Type];
|
||||
for (int feature = 0; feature < FeatureSamples->NumFeatures; ++feature) {
|
||||
FEATURE f = FeatureSamples->Features[feature];
|
||||
for (int dim =0; dim < f->Type->NumParams; ++dim)
|
||||
f->Params[dim] += dim == MFDirection ?
|
||||
UniformRandomNumber(-MINSD_ANGLE, MINSD_ANGLE) :
|
||||
UniformRandomNumber(-MINSD, MINSD);
|
||||
}
|
||||
CharSample->List = push (CharSample->List, FeatureSamples);
|
||||
CharSample->SampleCount++;
|
||||
for (i = 0; i < CharDesc->NumFeatureSets; i++)
|
||||
if (Type != i)
|
||||
FreeFeatureSet(CharDesc->FeatureSets[i]);
|
||||
free (CharDesc);
|
||||
}
|
||||
return (TrainingSamples);
|
||||
|
||||
} /* ReadTrainingSamples */
|
||||
|
||||
|
||||
/*----------------------------------------------------------------------------*/
|
||||
void WriteClusteredTrainingSamples (
|
||||
char *Directory,
|
||||
LIST ProtoList,
|
||||
CLUSTERER *Clusterer,
|
||||
LABELEDLIST CharSample)
|
||||
|
||||
/*
|
||||
** Parameters:
|
||||
** Directory directory to place sample files into
|
||||
** Operation:
|
||||
** This routine writes the specified samples into files which
|
||||
** are organized according to the font name and character name
|
||||
** of the samples.
|
||||
** Return: none
|
||||
** Exceptions: none
|
||||
** History: Fri Aug 18 16:17:06 1989, DSJ, Created.
|
||||
*/
|
||||
|
||||
{
|
||||
FILE *File;
|
||||
char Filename[MAXNAMESIZE];
|
||||
|
||||
strcpy (Filename, "");
|
||||
if (Directory != NULL)
|
||||
{
|
||||
strcat (Filename, Directory);
|
||||
strcat (Filename, "/");
|
||||
}
|
||||
strcat (Filename, CTFontName);
|
||||
strcat (Filename, "/");
|
||||
strcat (Filename, CharSample->Label);
|
||||
strcat (Filename, ".");
|
||||
strcat (Filename, PROGRAM_FEATURE_TYPE);
|
||||
strcat (Filename, ".p");
|
||||
printf ("\nWriting %s ...", Filename);
|
||||
File = Efopen (Filename, "w");
|
||||
WriteProtoList(File, Clusterer->SampleSize, Clusterer->ParamDesc,
|
||||
ProtoList, ShowSignificantProtos, ShowInsignificantProtos);
|
||||
fclose (File);
|
||||
|
||||
} /* WriteClusteredTrainingSamples */
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
void WriteMergedTrainingSamples(
|
||||
char *Directory,
|
||||
LIST ClassList)
|
||||
|
||||
{
|
||||
FILE *File;
|
||||
char Filename[MAXNAMESIZE];
|
||||
MERGE_CLASS MergeClass;
|
||||
|
||||
iterate (ClassList)
|
||||
{
|
||||
MergeClass = (MERGE_CLASS) first_node (ClassList);
|
||||
strcpy (Filename, "");
|
||||
if (Directory != NULL)
|
||||
{
|
||||
strcat (Filename, Directory);
|
||||
strcat (Filename, "/");
|
||||
}
|
||||
strcat (Filename, "Merged/");
|
||||
strcat (Filename, MergeClass->Label);
|
||||
strcat (Filename, PROTO_SUFFIX);
|
||||
printf ("\nWriting Merged %s ...", Filename);
|
||||
File = Efopen (Filename, "w");
|
||||
WriteOldProtoFile (File, MergeClass->Class);
|
||||
fclose (File);
|
||||
|
||||
strcpy (Filename, "");
|
||||
if (Directory != NULL)
|
||||
{
|
||||
strcat (Filename, Directory);
|
||||
strcat (Filename, "/");
|
||||
}
|
||||
strcat (Filename, "Merged/");
|
||||
strcat (Filename, MergeClass->Label);
|
||||
strcat (Filename, CONFIG_SUFFIX);
|
||||
printf ("\nWriting Merged %s ...", Filename);
|
||||
File = Efopen (Filename, "w");
|
||||
WriteOldConfigFile (File, MergeClass->Class);
|
||||
fclose (File);
|
||||
}
|
||||
|
||||
} // WriteMergedTrainingSamples
|
||||
|
||||
/*--------------------------------------------------------------------------*/
|
||||
void WriteMicrofeat(
|
||||
char *Directory,
|
||||
LIST ClassList)
|
||||
|
||||
{
|
||||
FILE *File;
|
||||
char Filename[MAXNAMESIZE];
|
||||
MERGE_CLASS MergeClass;
|
||||
|
||||
strcpy (Filename, "");
|
||||
if (Directory != NULL)
|
||||
{
|
||||
strcat (Filename, Directory);
|
||||
strcat (Filename, "/");
|
||||
}
|
||||
strcat (Filename, "Microfeat");
|
||||
File = Efopen (Filename, "w");
|
||||
printf ("\nWriting Merged %s ...", Filename);
|
||||
iterate(ClassList)
|
||||
{
|
||||
MergeClass = (MERGE_CLASS) first_node (ClassList);
|
||||
WriteProtos(File, MergeClass);
|
||||
WriteConfigs(File, MergeClass->Class);
|
||||
}
|
||||
fclose (File);
|
||||
} // WriteMicrofeat
|
||||
|
||||
/*---------------------------------------------------------------------------*/
|
||||
void WriteProtos(
|
||||
FILE* File,
|
||||
MERGE_CLASS MergeClass)
|
||||
{
|
||||
float Values[3];
|
||||
int i;
|
||||
PROTO Proto;
|
||||
|
||||
fprintf(File, "%s\n", MergeClass->Label);
|
||||
fprintf(File, "%d\n", MergeClass->Class->NumProtos);
|
||||
for(i=0; i < MergeClass->Class->NumProtos; i++)
|
||||
{
|
||||
Proto = ProtoIn(MergeClass->Class,i);
|
||||
fprintf(File, "\t%8.4f %8.4f %8.4f %8.4f ", Proto->X, Proto->Y,
|
||||
Proto->Length, Proto->Angle);
|
||||
Values[0] = Proto->X;
|
||||
Values[1] = Proto->Y;
|
||||
Values[2] = Proto->Angle;
|
||||
Normalize(Values);
|
||||
fprintf(File, "%8.4f %8.4f %8.4f\n", Values[0], Values[1], Values[2]);
|
||||
}
|
||||
} // WriteProtos
|
||||
|
||||
/*----------------------------------------------------------------------------*/
|
||||
void WriteConfigs(
|
||||
FILE* File,
|
||||
CLASS_TYPE Class)
|
||||
{
|
||||
BIT_VECTOR Config;
|
||||
int i, j, WordsPerConfig;
|
||||
|
||||
WordsPerConfig = WordsInVectorOfSize(Class->NumProtos);
|
||||
fprintf(File, "%d %d\n", Class->NumConfigs,WordsPerConfig);
|
||||
for(i=0; i < Class->NumConfigs; i++)
|
||||
{
|
||||
Config = Class->Configurations[i];
|
||||
for(j=0; j < WordsPerConfig; j++)
|
||||
fprintf(File, "%08x ", Config[j]);
|
||||
fprintf(File, "\n");
|
||||
}
|
||||
fprintf(File, "\n");
|
||||
} // WriteConfigs
|
||||
|
||||
/*--------------------------------------------------------------------------*/
|
||||
void WritePFFMTable(INT_TEMPLATES Templates, const char* filename) {
|
||||
FILE* fp = Efopen(filename, "wb");
|
||||
/* then write out each class */
|
||||
for (int i = 0; i < Templates->NumClasses; i++) {
|
||||
INT_CLASS Class = ClassForClassId (Templates, i);
|
||||
// Todo: Test with min instead of max
|
||||
// int MaxLength = LengthForConfigId(Class, 0);
|
||||
int MaxLength = 0;
|
||||
const char *unichar = unicharset_training.id_to_unichar(i);
|
||||
if (strcmp(unichar, " ") == 0) {
|
||||
unichar = "NULL";
|
||||
} else if (Class->NumConfigs == 0) {
|
||||
cprintf("Error: no configs for class %s in mftraining\n", unichar);
|
||||
}
|
||||
for (int ConfigId = 0; ConfigId < Class->NumConfigs; ConfigId++) {
|
||||
// Todo: Test with min instead of max
|
||||
// if (LengthForConfigId (Class, ConfigId) < MaxLength)
|
||||
if (Class->ConfigLengths[ConfigId] > MaxLength)
|
||||
MaxLength = Class->ConfigLengths[ConfigId];
|
||||
}
|
||||
fprintf(fp, "%s %d\n", unichar, MaxLength);
|
||||
}
|
||||
fclose(fp);
|
||||
} // WritePFFMTable
|
||||
@ -1,285 +0,0 @@
|
||||
# Microsoft Developer Studio Project File - Name="mfTraining" - Package Owner=<4>
|
||||
# Microsoft Developer Studio Generated Build File, Format Version 6.00
|
||||
# ** DO NOT EDIT **
|
||||
|
||||
# TARGTYPE "Win32 (x86) Console Application" 0x0103
|
||||
|
||||
CFG=mfTraining - Win32 Debug
|
||||
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|
||||
@ -1,190 +0,0 @@
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||||
/*
|
||||
** Licensed under the Apache License, Version 2.0 (the "License");
|
||||
** you may not use this file except in compliance with the License.
|
||||
** You may obtain a copy of the License at
|
||||
** http://www.apache.org/licenses/LICENSE-2.0
|
||||
** Unless required by applicable law or agreed to in writing, software
|
||||
** distributed under the License is distributed on an "AS IS" BASIS,
|
||||
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
** See the License for the specific language governing permissions and
|
||||
** limitations under the License.
|
||||
*/
|
||||
|
||||
#include "training.h"
|
||||
#include "debug.h"
|
||||
#include "memry.h"
|
||||
#include "scrollview.h"
|
||||
|
||||
make_int_var (LearningDebugLevel, 0, MakeLearningDebugLevel,
|
||||
18, 5, SetLearningDebugLevel,
|
||||
"Learning Debug Level: ");
|
||||
|
||||
make_int_var (NormMethod, character, MakeNormMethod,
|
||||
15, 10, SetNormMethod, "Normalization Method ...")
|
||||
|
||||
//char *demodir; /*demo home directory */
|
||||
|
||||
|
||||
void cprintf( //Trace printf
|
||||
const char *format,... //special message
|
||||
)
|
||||
{
|
||||
}
|
||||
|
||||
char *c_alloc_string( //allocate string
|
||||
inT32 count //no of chars required
|
||||
)
|
||||
{
|
||||
return alloc_string(count);
|
||||
}
|
||||
|
||||
void c_free_string( //free a string
|
||||
char *string //string to free
|
||||
)
|
||||
{
|
||||
free_string(string);
|
||||
}
|
||||
|
||||
void *c_alloc_mem_p( //allocate permanent space
|
||||
inT32 count //block size to allocate
|
||||
)
|
||||
{
|
||||
return alloc_mem_p(count);
|
||||
}
|
||||
void *c_alloc_mem( //get some memory
|
||||
inT32 count //no of bytes to get
|
||||
)
|
||||
{
|
||||
return alloc_mem(count);
|
||||
}
|
||||
void c_free_mem( //free mem from alloc_mem
|
||||
void *oldchunk //chunk to free
|
||||
)
|
||||
{
|
||||
free_mem(oldchunk);
|
||||
}
|
||||
void c_check_mem( //check consistency
|
||||
const char *string, //context message
|
||||
inT8 level //level of check
|
||||
)
|
||||
{
|
||||
check_mem(string,level);
|
||||
}
|
||||
|
||||
void* c_alloc_struct( //allocate memory
|
||||
inT32 count, //no of chars required
|
||||
const char* name //class name
|
||||
)
|
||||
{
|
||||
return alloc_struct(count,name);
|
||||
}
|
||||
void c_free_struct( //free a structure
|
||||
void* deadstruct, //structure to free
|
||||
inT32 count, //no of bytes
|
||||
const char* name //class name
|
||||
)
|
||||
{
|
||||
free_struct(deadstruct,count,name);
|
||||
}
|
||||
|
||||
void c_make_current( /*move pen*/
|
||||
void* win
|
||||
)
|
||||
{
|
||||
ScrollView* window = (ScrollView*) win;
|
||||
window->Update();
|
||||
}
|
||||
|
||||
void reverse32(
|
||||
void* ptr
|
||||
)
|
||||
{
|
||||
char tmp;
|
||||
char* cptr=(char*)ptr;
|
||||
|
||||
tmp=*cptr;
|
||||
*cptr=*(cptr+3);
|
||||
*(cptr+3)=tmp;
|
||||
tmp=*(cptr+1);
|
||||
*(cptr+1)=*(cptr+2);
|
||||
*(cptr+2)=tmp;
|
||||
}
|
||||
|
||||
void reverse16(
|
||||
void* ptr
|
||||
)
|
||||
{
|
||||
char tmp;
|
||||
char* cptr=(char*)ptr;
|
||||
|
||||
tmp=*cptr;
|
||||
*cptr=*(cptr+1);
|
||||
*(cptr+1)=tmp;
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
ScrollView* c_create_window( /*create a window*/
|
||||
const char *name, /*name/title of window*/
|
||||
inT16 xpos, /*coords of window*/
|
||||
inT16 ypos, /*coords of window*/
|
||||
inT16 xsize, /*size of window*/
|
||||
inT16 ysize, /*size of window*/
|
||||
double xmin, /*scrolling limits*/
|
||||
double xmax, /*to stop users*/
|
||||
double ymin, /*getting lost in*/
|
||||
double ymax /*empty space*/
|
||||
)
|
||||
{
|
||||
return new ScrollView(name, xpos, ypos, xsize, ysize, xmin + xmax, ymin + ymax, true);
|
||||
}
|
||||
void c_line_color_index( /*set color*/
|
||||
void* win,
|
||||
C_COL index
|
||||
)
|
||||
{
|
||||
// The colors are the same as the SV ones except that SV has COLOR:NONE --> offset of 1
|
||||
ScrollView* window = (ScrollView*) win;
|
||||
window->Pen((ScrollView::Color) (index + 1));
|
||||
}
|
||||
void c_move( /*move pen*/
|
||||
void* win,
|
||||
double x,
|
||||
double y
|
||||
)
|
||||
{
|
||||
ScrollView* window = (ScrollView*) win;
|
||||
window->SetCursor((int) x, (int) y);
|
||||
}
|
||||
void c_draw( /*move pen*/
|
||||
void* win,
|
||||
double x,
|
||||
double y
|
||||
)
|
||||
{
|
||||
ScrollView* window = (ScrollView*) win;
|
||||
window->DrawTo((int) x, (int) y);
|
||||
}
|
||||
void c_clear_window( /*move pen*/
|
||||
void* win
|
||||
)
|
||||
{
|
||||
ScrollView* window = (ScrollView*) win;
|
||||
window->Clear();
|
||||
}
|
||||
char window_wait( /*move pen*/
|
||||
void* win
|
||||
)
|
||||
{
|
||||
ScrollView* window = (ScrollView*) win;
|
||||
SVEvent* ev;
|
||||
|
||||
// Wait till an input event (all others are thrown away)
|
||||
ev = window->AwaitEvent(SVET_ANY);
|
||||
char ret = '\0';
|
||||
if (ev->type == SVET_INPUT) { ret = ev->parameter[0]; }
|
||||
delete ev;
|
||||
return ret;
|
||||
}
|
||||
@ -1,130 +0,0 @@
|
||||
/*
|
||||
** Licensed under the Apache License, Version 2.0 (the "License");
|
||||
** you may not use this file except in compliance with the License.
|
||||
** You may obtain a copy of the License at
|
||||
** http://www.apache.org/licenses/LICENSE-2.0
|
||||
** Unless required by applicable law or agreed to in writing, software
|
||||
** distributed under the License is distributed on an "AS IS" BASIS,
|
||||
** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
** See the License for the specific language governing permissions and
|
||||
** limitations under the License.
|
||||
*/
|
||||
|
||||
#ifndef TRAINING_H
|
||||
#define TRAINING_H
|
||||
|
||||
#include "host.h"
|
||||
#include "callcpp.h"
|
||||
|
||||
typedef enum
|
||||
{
|
||||
baseline, character
|
||||
}
|
||||
NORM_METHOD;
|
||||
|
||||
typedef struct
|
||||
{
|
||||
FLOAT32 x,y;
|
||||
} FPOINT;
|
||||
typedef FPOINT FVECTOR;
|
||||
|
||||
|
||||
#define INTEL 0x4949
|
||||
#define MOTO 0x4d4d
|
||||
|
||||
#define PICO_FEATURE_LENGTH (0.05)
|
||||
#define GetPicoFeatureLength() (PICO_FEATURE_LENGTH)
|
||||
|
||||
extern int LearningDebugLevel;
|
||||
extern int NormMethod;
|
||||
|
||||
void cprintf( //Trace printf
|
||||
const char *format,... //special message
|
||||
);
|
||||
|
||||
char *c_alloc_string( //allocate string
|
||||
inT32 count //no of chars required
|
||||
);
|
||||
|
||||
void c_free_string( //free a string
|
||||
char *string //string to free
|
||||
);
|
||||
|
||||
void *c_alloc_mem_p( //allocate permanent space
|
||||
inT32 count //block size to allocate
|
||||
);
|
||||
|
||||
void *c_alloc_mem( //get some memory
|
||||
inT32 count //no of bytes to get
|
||||
);
|
||||
|
||||
void c_free_mem( //free mem from alloc_mem
|
||||
void *oldchunk //chunk to free
|
||||
);
|
||||
|
||||
void c_check_mem( //check consistency
|
||||
char *string, //context message
|
||||
inT8 level //level of check
|
||||
);
|
||||
|
||||
void* c_alloc_struct( //allocate memory
|
||||
inT32 count, //no of chars required
|
||||
const char* name //class name
|
||||
);
|
||||
|
||||
void c_free_struct( //free a structure
|
||||
void* deadstruct, //structure to free
|
||||
inT32 count, //no of bytes
|
||||
const char* name //class name
|
||||
);
|
||||
|
||||
void c_make_current( /*move pen*/
|
||||
void* win
|
||||
);
|
||||
|
||||
void reverse32(
|
||||
void* ptr
|
||||
);
|
||||
|
||||
void reverse16(
|
||||
void* ptr
|
||||
);
|
||||
|
||||
ScrollView* c_create_window( /*create a window*/
|
||||
const char *name, /*name/title of window*/
|
||||
inT16 xpos, /*coords of window*/
|
||||
inT16 ypos, /*coords of window*/
|
||||
inT16 xsize, /*size of window*/
|
||||
inT16 ysize, /*size of window*/
|
||||
double xmin, /*scrolling limits*/
|
||||
double xmax, /*to stop users*/
|
||||
double ymin, /*getting lost in*/
|
||||
double ymax /*empty space*/
|
||||
);
|
||||
|
||||
void c_line_color_index( /*set color*/
|
||||
void* win,
|
||||
C_COL index
|
||||
);
|
||||
|
||||
void c_move( /*move pen*/
|
||||
void* win,
|
||||
double x,
|
||||
double y
|
||||
);
|
||||
|
||||
void c_draw( /*move pen*/
|
||||
void* win,
|
||||
double x,
|
||||
double y
|
||||
);
|
||||
|
||||
void c_clear_window( /*move pen*/
|
||||
void* win
|
||||
);
|
||||
|
||||
char window_wait( /*move pen*/
|
||||
void* win
|
||||
);
|
||||
|
||||
#endif
|
||||
@ -45,6 +45,14 @@
|
||||
|
||||
static const char* const kUnicharsetFileName = "unicharset";
|
||||
|
||||
UNICHAR_ID wc_to_unichar_id(const UNICHARSET &unicharset, int wc) {
|
||||
UNICHAR uch(wc);
|
||||
char *unichar = uch.utf8_str();
|
||||
UNICHAR_ID unichar_id = unicharset.unichar_to_id(unichar);
|
||||
delete[] unichar;
|
||||
return unichar_id;
|
||||
}
|
||||
|
||||
// Set character properties using wctype if we have it.
|
||||
// Contributed by piggy@gmail.com.
|
||||
// Modified by Ray to use UNICHAR for unicode conversion
|
||||
@ -57,24 +65,36 @@ void set_properties(UNICHARSET *unicharset, const char* const c_string) {
|
||||
// Convert the string to a unichar id.
|
||||
id = unicharset->unichar_to_id(c_string);
|
||||
|
||||
// Set the other_case property to be this unichar id by default.
|
||||
unicharset->set_other_case(id, id);
|
||||
|
||||
int step = UNICHAR::utf8_step(c_string);
|
||||
if (step == 0)
|
||||
return; // Invalid utf-8.
|
||||
|
||||
// Get the next Unicode cond point in the string.
|
||||
// Get the next Unicode code point in the string.
|
||||
UNICHAR ch(c_string, step);
|
||||
wc = ch.first_uni();
|
||||
|
||||
/* Copy the properties. */
|
||||
if (iswalpha(wc)) {
|
||||
unicharset->set_isalpha(id, 1);
|
||||
if (iswlower(wc))
|
||||
if (iswlower(wc)) {
|
||||
unicharset->set_islower(id, 1);
|
||||
if (iswupper(wc))
|
||||
unicharset->set_other_case(id, wc_to_unichar_id(*unicharset,
|
||||
towupper(wc)));
|
||||
}
|
||||
if (iswupper(wc)) {
|
||||
unicharset->set_isupper(id, 1);
|
||||
unicharset->set_other_case(id, wc_to_unichar_id(*unicharset,
|
||||
towlower(wc)));
|
||||
}
|
||||
}
|
||||
if (iswdigit(wc))
|
||||
unicharset->set_isdigit(id, 1);
|
||||
if(iswpunct(wc))
|
||||
unicharset->set_ispunctuation(id, 1);
|
||||
|
||||
#endif
|
||||
}
|
||||
|
||||
|
||||
@ -1,335 +0,0 @@
|
||||
# Microsoft Developer Studio Project File - Name="unicharset_extractor" - Package Owner=<4>
|
||||
# Microsoft Developer Studio Generated Build File, Format Version 6.00
|
||||
# ** DO NOT EDIT **
|
||||
|
||||
# TARGTYPE "Win32 (x86) Console Application" 0x0103
|
||||
|
||||
CFG=unicharset_extractor - Win32 Debug
|
||||
!MESSAGE This is not a valid makefile. To build this project using NMAKE,
|
||||
!MESSAGE use the Export Makefile command and run
|
||||
!MESSAGE
|
||||
!MESSAGE NMAKE /f "unicharset_extractor.mak".
|
||||
!MESSAGE
|
||||
!MESSAGE You can specify a configuration when running NMAKE
|
||||
!MESSAGE by defining the macro CFG on the command line. For example:
|
||||
!MESSAGE
|
||||
!MESSAGE NMAKE /f "unicharset_extractor.mak" CFG="unicharset_extractor - Win32 Debug"
|
||||
!MESSAGE
|
||||
!MESSAGE Possible choices for configuration are:
|
||||
!MESSAGE
|
||||
!MESSAGE "unicharset_extractor - Win32 Release" (based on "Win32 (x86) Console Application")
|
||||
!MESSAGE "unicharset_extractor - Win32 Debug" (based on "Win32 (x86) Console Application")
|
||||
!MESSAGE
|
||||
|
||||
# Begin Project
|
||||
# PROP AllowPerConfigDependencies 0
|
||||
# PROP Scc_ProjName ""
|
||||
# PROP Scc_LocalPath ""
|
||||
CPP=cl.exe
|
||||
RSC=rc.exe
|
||||
|
||||
!IF "$(CFG)" == "unicharset_extractor - Win32 Release"
|
||||
|
||||
# PROP BASE Use_MFC 0
|
||||
# PROP BASE Use_Debug_Libraries 0
|
||||
# PROP BASE Output_Dir "Release"
|
||||
# PROP BASE Intermediate_Dir "Release"
|
||||
# PROP BASE Target_Dir ""
|
||||
# PROP Use_MFC 2
|
||||
# PROP Use_Debug_Libraries 0
|
||||
# PROP Output_Dir "uce.Release6"
|
||||
# PROP Intermediate_Dir "uce.Release6"
|
||||
# PROP Ignore_Export_Lib 0
|
||||
# PROP Target_Dir ""
|
||||
# ADD BASE CPP /nologo /W3 /GX /O2 /D "WIN32" /D "NDEBUG" /D "_CONSOLE" /D "_MBCS" /YX /FD /c
|
||||
# ADD CPP /nologo /MD /W3 /GX /O2 /I "../ccutil" /D "NDEBUG" /D "WIN32" /D "_CONSOLE" /D "_MBCS" /D "__MSW32__" /D "_AFXDLL" /YX /FD /c
|
||||
# ADD BASE RSC /l 0x409 /d "NDEBUG"
|
||||
# ADD RSC /l 0x409 /d "NDEBUG" /d "_AFXDLL"
|
||||
BSC32=bscmake.exe
|
||||
# ADD BASE BSC32 /nologo
|
||||
# ADD BSC32 /nologo
|
||||
LINK32=link.exe
|
||||
# ADD BASE LINK32 kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib /nologo /subsystem:console /machine:I386
|
||||
# ADD LINK32 /nologo /subsystem:console /machine:I386 /out:"./unicharset_extractor.exe"
|
||||
|
||||
!ELSEIF "$(CFG)" == "unicharset_extractor - Win32 Debug"
|
||||
|
||||
# PROP BASE Use_MFC 0
|
||||
# PROP BASE Use_Debug_Libraries 1
|
||||
# PROP BASE Output_Dir "Debug"
|
||||
# PROP BASE Intermediate_Dir "Debug"
|
||||
# PROP BASE Target_Dir ""
|
||||
# PROP Use_MFC 2
|
||||
# PROP Use_Debug_Libraries 1
|
||||
# PROP Output_Dir "uce.Debug6"
|
||||
# PROP Intermediate_Dir "uce.Debug6"
|
||||
# PROP Ignore_Export_Lib 0
|
||||
# PROP Target_Dir ""
|
||||
# ADD BASE CPP /nologo /W3 /Gm /GX /ZI /Od /D "WIN32" /D "_DEBUG" /D "_CONSOLE" /D "_MBCS" /YX /FD /GZ /c
|
||||
# ADD CPP /nologo /MDd /W3 /Gm /GX /ZI /Od /I "../ccutil" /D "_DEBUG" /D "WIN32" /D "_CONSOLE" /D "_MBCS" /D "__MSW32__" /D "_AFXDLL" /YX /FD /GZ /c
|
||||
# ADD BASE RSC /l 0x409 /d "_DEBUG"
|
||||
# ADD RSC /l 0x409 /d "_DEBUG" /d "_AFXDLL"
|
||||
BSC32=bscmake.exe
|
||||
# ADD BASE BSC32 /nologo
|
||||
# ADD BSC32 /nologo
|
||||
LINK32=link.exe
|
||||
# ADD BASE LINK32 kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib /nologo /subsystem:console /debug /machine:I386 /pdbtype:sept
|
||||
# ADD LINK32 /nologo /subsystem:console /debug /machine:I386 /out:"../bin.dbg6/unicharset_extractor.exe" /pdbtype:sept
|
||||
|
||||
!ENDIF
|
||||
|
||||
# Begin Target
|
||||
|
||||
# Name "unicharset_extractor - Win32 Release"
|
||||
# Name "unicharset_extractor - Win32 Debug"
|
||||
# Begin Group "Source Files"
|
||||
|
||||
# PROP Default_Filter "cpp;c;cxx;rc;def;r;odl;idl;hpj;bat"
|
||||
# Begin Group "ccutil"
|
||||
|
||||
# PROP Default_Filter ""
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\ccutil\clst.cpp
|
||||
# ADD CPP /Yu"mfcpch.h"
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\ccutil\debugwin.cpp
|
||||
# ADD CPP /Yu"mfcpch.h"
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\ccutil\errcode.cpp
|
||||
# ADD CPP /Yu"mfcpch.h"
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\ccutil\globaloc.cpp
|
||||
# ADD CPP /Yu"mfcpch.h"
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\ccutil\hashfn.cpp
|
||||
# ADD CPP /Yu"mfcpch.h"
|
||||
# End Source File
|
||||
# Begin Source File
|
||||
|
||||
SOURCE=..\ccutil\memblk.cpp
|
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Name="Release|Win32"
|
||||
>
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||||
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Name="VCCLCompilerTool"
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AdditionalIncludeDirectories=""
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PreprocessorDefinitions=""
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/>
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<FileConfiguration
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Name="Debug|Win32"
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<Tool
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Name="VCCLCompilerTool"
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AdditionalIncludeDirectories=""
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PreprocessorDefinitions=""
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/>
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RelativePath="..\ccutil\varable.cpp"
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Name="Release|Win32"
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Name="Debug|Win32"
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Name="VCCLCompilerTool"
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Name="Header Files"
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Filter="h;hpp;hxx;hm;inl"
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||||
<File
|
||||
RelativePath="..\ccutil\ambigs.h"
|
||||
>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\ccutil\basedir.h"
|
||||
>
|
||||
@ -621,6 +248,10 @@
|
||||
RelativePath="..\ccutil\boxread.h"
|
||||
>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\ccutil\ccutil.h"
|
||||
>
|
||||
</File>
|
||||
<File
|
||||
RelativePath="..\ccutil\clst.h"
|
||||
>
|
||||
|
||||
@ -22,48 +22,54 @@
|
||||
|
||||
#include <stdio.h>
|
||||
|
||||
#include "classify.h"
|
||||
#include "dawg.h"
|
||||
#include "makedawg.h"
|
||||
#include "lookdawg.h"
|
||||
#include "reduce.h"
|
||||
#include "freelist.h"
|
||||
#include "emalloc.h"
|
||||
#include "freelist.h"
|
||||
#include "trie.h"
|
||||
#include "unicharset.h"
|
||||
|
||||
static const int kMaxNumEdges = 10000000;
|
||||
|
||||
int main(int argc, char** argv) {
|
||||
|
||||
if (argc == 3) {
|
||||
const char* wordlist_filename = argv[1];
|
||||
const char* dawg_filename = argv[2];
|
||||
|
||||
EDGE_ARRAY dawg;
|
||||
inT32 max_num_edges = 10000000;
|
||||
inT32 reserved_edges = 1000000;
|
||||
|
||||
dawg = (EDGE_ARRAY) Emalloc(sizeof (EDGE_RECORD) * max_num_edges);
|
||||
if (dawg == NULL) {
|
||||
printf("error: Could not allocate enough memory for DAWG ");
|
||||
printf("(%d ,%d bytes needed)\n",
|
||||
static_cast<int>(sizeof (EDGE_RECORD) * max_num_edges / 1000),
|
||||
static_cast<int>(sizeof (EDGE_RECORD) * max_num_edges % 1000));
|
||||
if (!(argc == 4 || (argc == 5 && strcmp(argv[1], "-t") == 0))) {
|
||||
printf("Usage: %s [-t] word_list_file dawg_file unicharset_file", argv[0]);
|
||||
return 1;
|
||||
}
|
||||
tesseract::Classify classify;
|
||||
int argv_index = 0;
|
||||
if (argc == 5) ++argv_index;
|
||||
const char* wordlist_filename = argv[++argv_index];
|
||||
const char* dawg_filename = argv[++argv_index];
|
||||
const char* unicharset_file = argv[++argv_index];
|
||||
if (!classify.getDict().getUnicharset().load_from_file(unicharset_file)) {
|
||||
tprintf("Failed to load unicharset from '%s'\n", unicharset_file);
|
||||
return 1;
|
||||
}
|
||||
const UNICHARSET &unicharset = classify.getDict().getUnicharset();
|
||||
if (argc == 4) {
|
||||
tesseract::Trie trie(
|
||||
// the first 3 arguments are not used in this case
|
||||
tesseract::DAWG_TYPE_WORD, "", SYSTEM_DAWG_PERM,
|
||||
kMaxNumEdges, unicharset.size());
|
||||
printf("Reading word list from '%s'\n", wordlist_filename);
|
||||
if (!trie.read_word_list(wordlist_filename, unicharset)) {
|
||||
printf("Failed to read word list from '%s'\n", wordlist_filename);
|
||||
exit(1);
|
||||
}
|
||||
|
||||
printf("Building DAWG from word list in file, '%s'\n", wordlist_filename);
|
||||
read_word_list(wordlist_filename, dawg, max_num_edges, reserved_edges);
|
||||
|
||||
trie_to_dawg(dawg, max_num_edges, reserved_edges);
|
||||
|
||||
printf("Writing squished DAWG file, '%s'\n", dawg_filename);
|
||||
write_squished_dawg(dawg_filename, dawg, max_num_edges, reserved_edges);
|
||||
|
||||
return 0;
|
||||
} else if (argc == 4 && strcmp(argv[1], "-t") == 0) {
|
||||
EDGE_ARRAY words = read_squished_dawg(argv[3]);
|
||||
check_for_words(words, argv[2]);
|
||||
memfree(words);
|
||||
return 0;
|
||||
printf("Reducing Trie to SquishedDawg\n");
|
||||
tesseract::SquishedDawg *dawg = trie.trie_to_dawg();
|
||||
printf("Writing squished DAWG to '%s'\n", dawg_filename);
|
||||
dawg->write_squished_dawg(dawg_filename);
|
||||
delete dawg;
|
||||
} else {
|
||||
printf("Loading dawg DAWG from '%s'\n", dawg_filename);
|
||||
tesseract::SquishedDawg words(
|
||||
dawg_filename,
|
||||
// these 3 arguments are not used in this case
|
||||
tesseract::DAWG_TYPE_WORD, "", SYSTEM_DAWG_PERM);
|
||||
printf("Checking word list from '%s'\n", wordlist_filename);
|
||||
words.check_for_words(wordlist_filename, unicharset, true);
|
||||
}
|
||||
|
||||
printf("Usage: %s [-t] word_list_file dawg_file\n", argv[0]);
|
||||
return 1;
|
||||
return 0;
|
||||
}
|
||||
|
||||
@ -1,319 +0,0 @@
|
||||
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# Microsoft Developer Studio Generated Build File, Format Version 6.00
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# ** DO NOT EDIT **
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|
||||
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CFG=wordlist2dawg - Win32 Debug
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||||
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|
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||||
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||||
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||||
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||||
|
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|
||||
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|
||||
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||||
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||||
|
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||||
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|
||||
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||||
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|
||||
|
||||
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|
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|
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|
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|
||||
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|
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|
||||
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|
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|
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|
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|
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||||
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|
||||
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|
||||
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|
||||
|
||||
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|
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||||
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@ -1093,6 +287,10 @@
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||||
|
||||
File diff suppressed because it is too large
Load Diff
Loading…
Reference in New Issue
Block a user