opencv/modules/matlab/generator/gen_matlab.py
2013-08-06 21:16:38 +10:00

115 lines
4.5 KiB
Python

#/usr/bin/env python
class MatlabWrapperGenerator(object):
def gen(self, input_files, output_dir):
# parse each of the files and store in a dictionary
# as a separate "namespace"
parser = CppHeaderParser()
ns = {}
for file in input_files:
# get the file name
# TODO: Is there a cleaner way to do this?
try:
name = re.findall('include/opencv2/([^./]+)', file)[0]
except:
name = os.path.splitext(os.path.basename(file))[0]
# add the file to the namespace
try:
ns[name] = ns[name] + parser.parse(file)
except KeyError:
ns[name] = parser.parse(file)
# cleanify the parser output
parse_tree = ParseTree()
parse_tree.build(ns)
# setup the template engine
template_dir = os.path.join(os.path.dirname(__file__), 'templates')
jtemplate = Environment(loader=FileSystemLoader(template_dir), trim_blocks=True, lstrip_blocks=True)
# add the custom filters
jtemplate.filters['formatMatlabConstant'] = formatMatlabConstant
jtemplate.filters['convertibleToInt'] = convertibleToInt
jtemplate.filters['toUpperCamelCase'] = toUpperCamelCase
jtemplate.filters['toLowerCamelCase'] = toLowerCamelCase
jtemplate.filters['toUnderCase'] = toUnderCase
jtemplate.filters['comment'] = comment
jtemplate.filters['inputs'] = inputs
jtemplate.filters['ninputs'] = ninputs
jtemplate.filters['outputs'] = outputs
jtemplate.filters['noutputs'] = noutputs
jtemplate.filters['only'] = only
jtemplate.filters['void'] = void
jtemplate.filters['not'] = flip
# load the templates
tfunction = jtemplate.get_template('template_function_base.cpp')
tclassm = jtemplate.get_template('template_class_base.m')
tclassc = jtemplate.get_template('template_class_base.cpp')
tdoc = jtemplate.get_template('template_doc_base.m')
tconst = jtemplate.get_template('template_map_base.m')
# create the build directory
output_source_dir = output_dir+'/src'
output_private_dir = output_source_dir+'/private'
output_class_dir = output_dir+'/+cv'
output_map_dir = output_dir+'/map'
if not os.path.isdir(output_source_dir):
os.mkdir(output_source_dir)
if not os.path.isdir(output_private_dir):
os.mkdir(output_private_dir)
if not os.path.isdir(output_class_dir):
os.mkdir(output_class_dir)
if not os.path.isdir(output_map_dir):
os.mkdir(output_map_dir)
# populate templates
for namespace in parse_tree.namespaces:
# functions
for method in namespace.methods:
populated = tfunction.render(fun=method, time=time, includes=namespace.name)
with open(output_source_dir+'/'+method.name+'.cpp', 'wb') as f:
f.write(populated)
populated = tdoc.render(fun=method, time=time)
with open(output_class_dir+'/'+method.name+'.m', 'wb') as f:
f.write(populated)
# classes
for clss in namespace.classes:
# cpp converter
populated = tclassc.render(clss=clss, time=time)
with open(output_private_dir+'/'+clss.name+'Bridge.cpp', 'wb') as f:
f.write(populated)
# matlab classdef
populated = tclassm.render(clss=clss, time=time)
with open(output_class_dir+'/'+clss.name+'.m', 'wb') as f:
f.write(populated)
# create a global constants lookup table
const = dict(constants(todict(parse_tree.namespaces)))
populated = tconst.render(constants=const)
with open(output_dir+'/cv.m', 'wb') as f:
f.write(populated)
if __name__ == "__main__":
# add the hdr_parser to the path
import sys, re, os, time
sys.path.append(sys.argv[1])
from string import Template
from hdr_parser import CppHeaderParser
from parse_tree import ParseTree, todict, constants
from filters import *
from jinja2 import Environment, FileSystemLoader
# get the IO from the command line arguments
input_files = sys.argv[2:-1]
output_dir = sys.argv[-1]
# create the generator
mwg = MatlabWrapperGenerator()
mwg.gen(input_files, output_dir)