With Debian package beignet-opencl-icd 1.2.1-1, Tesseract + OpenCL fails:
[DS] Profile file not available (tesseract_opencl_profile_devices.dat); performing profiling.
[DS] Device: "Intel(R) HD Graphics IvyBridge M GT2" (OpenCL) evaluation...
ASSERTION FAILED: sel.hasDoubleType()
at file /home/geier/beignet/backend/src/backend/gen_insn_selection.cpp, function void gbe::ConvertInstructionPattern::convertDoubleToSmallInts(gbe::Selection::Opaque&, const gbe::ir::ConvertInstruction&, bool&) const, line 5269
Trace/breakpoint trap
Using a pure float expression (instead of double) fixes this issue.
Signed-off-by: Stefan Weil <sw@weilnetz.de>
https://code.google.com/p/tesseract-ocr/issues/detail?id=1351
What steps will reproduce the problem?
1.Use tesseract build with OpenCL.
2.Pass full color image with width which is not multiple of 32.
3.Recognition is way too slow and does not recognize anything.
I read the article on http://www.sk-spell.sk.cx/tesseract-meets-the-opencl-first-test and decided to give OCL a try. The initial result was as per point 3 above. After some debugging I figured the problem is that the OCL version of threshold rect generation does not account for padding bits in the output pix lines. To prove my discovery I made a quick fix in oclkernels.h replacing the definition of kernel_ThresholdRectToPix
Just a reminder: it is necessary to force OCL kernel recompilation after changing this source (e.g. delete “kernel - <device>.bin” from the exec folder).
The fix is working but I am not sure about it since the original source apparently works for other people (as per the article). If I am right the OS/GPU are irrelevant since the bug is algorithmic, but mine are Windows/AMD. Also similar fix is applicable to kernel_ThresholdRectToPix_OneChan(), but there the input array might have some padding bytes as well, so its indexing will need further adjustments. I can come with some prove/fix for it either - I have not played with it yet.
Disclaimer: I have no prior experience with image processing and tesseract source or with GPU computing and OpenCL (but please do explain if I am wrong).
