I'd like to collect open tasks which should be addressed before tagging the official release 4.0.0.

These tasks are on my own list and to be discussed whether we consider them important for the new release or not:

• Remove deprecated code. This does not include OpenCL or the old Tesseract engine.
• Add --version parameter for all command line commands.
• Enhance --list-langs to show additional information for scripts and languages like legacy / LSTM, version. This will make the command slower, because each file must be opened and parsed.
• Add option to optionally select implementation for dot product (CPU, SSE, AVX, ...).
• Relative includes for traineddata: tessedit_load_sublangs should search for the sublangs relative to the parent, not starting in tessdata dir.
• Maybe more fixes for compiler warnings and issues reported by Coverity Scan.
• (list still incomplete)

Environment

• Tesseract Version: 5.0.0 alfa
• Commit Number: a1a177f
• Platform:Windows 10 64 bit

Current Behavior:

I can not build from source i had download SW client and save it at "D:\Essam\Software\SW" the add to Path and i can run SW in command line and see WS information as follow D:\Tutorial\Git\tesseract\build>sw --version sw.client.sw version 1.0.0 git revision 083bb99144549c1f361298e8284daa6b54422965 assembled on 30.01.2020 18:36:29 Egypt Standard Time

then i run the following commands to compile from source as describe in the following link https://github.com/tesseract-ocr/tesseract/wiki/Compiling the command are

git clone https://github.com/tesseract-ocr/tesseract tesseract cd tesseract mkdir build && cd build cmake .. -G "Visual Studio 15 2017 Win64" -DCMAKE_INSTALL_PREFIX=inst

i receive the following error

"-- Selecting Windows SDK version 10.0.17763.0 to target Windows 10.0.18363. Configuring tesseract version 5.0.0-alpha-621-ga1a17... -- target changed from "auto" to "kaby-lake" CMake Error at CMakeLists.txt:197 (find_package): By not providing "FindSW.cmake" in CMAKE_MODULE_PATH this project has asked CMake to find a package configuration file provided by "SW", but CMake did not find one.

Could not find a package configuration file provided by "SW" with any of the following names:

SWConfig.cmake
sw-config.cmake

Add the installation prefix of "SW" to CMAKE_PREFIX_PATH or set "SW_DIR" to a directory containing one of the above files. If "SW" provides a separate development package or SDK, be sure it has been installed.

-- Configuring incomplete, errors occurred! See also "D:/Tutorial/Git/tesseract/build/CMakeFiles/CMakeOutput.log"."

the log file attached

CMakeOutput.log

Expected Behavior:

build tesseract solution

Suggested Fix:

Many fixes have been made to master branch for 4.0 since the 4.00.00alpha release in November 2016. A number of assertions have been fixed.

@zdenop Please add a new tag eg. 4.0.0alpha-1 / 2 (numbering as you consider appropriate). Thanks!

Ray wants to get rid of the legacy OCR engine, so that the final 4.00 version will only have one OCR engine based on LSTM.

From #518:

@stweil commented:

I strongly vote against removing non-LSTM as we currently still get better results with it in some cases.

@theraysmith commented:

Please provide examples of where you get better results with the old engine. Right now I'm trying to work on getting rid of redundant code, rather than spending time fighting needless changes that generate a lot of work. I have recently tested an LSTM-based OSD, and it works a lot better than the old, so that is one more use of the old classifier that can go. AFAICT, apart from the equation detector, the old classifier is now redundant.

I integrated Tesseract C/C++, version 3.x, to read English OCR on images.

It’s working pretty good, but very slow. It takes close to 1000ms (1 second) to read the attached image (00060.jpg) on my quad-core laptop.

I’m not using the Cube engine, and I’m feeding only binary images to the OCR reader.

Any way to make it faster. Any ideas on how to make Tesseract read faster? thanks

Environment

• Tesseract Version: 4.0.0 Release
• Commit Number: 51316994ccae0b48692d547030f26c0969308214
• Platform: Debian 9.6.0 amd64

Current Behavior: Tesseract 4.0.0 crashed on Itel I5-8400 CPU with Debian 9.6.0 amd64 (SSE/AVX/AVX2).

I compiled the tesseract 4.0 on Itel I5-8400 CPU with Debian 9.6.0 amd64. tesseract --version output this: tesseract 4.0.0 leptonica-1.74.2 libjpeg 6b (libjpeg-turbo 1.5.1) : libpng 1.6.28 : libtiff 4.0.8 : zlib 1.2.8 Found AVX2 Found AVX Found SSE

When I call tesseract several times, crash happens and PC is reboot.

I have a Intel G4650 CPU and this CPU not suport AVX2 / AVX and everything works fine! Never crash happens! How to make tesseract work fine on Intel I5-8400 with AVX/AVX2/SSE.

Expected Behavior:

Suggested Fix:

This requires libminizip-dev, so expect failures from CI.

Up to now, little endian tesseract works with the new zip format.

More work is needed for training tools and big endian support and also to maintain compatibility with the current proprietary format.

Signed-off-by: Stefan Weil [email protected]

• ignore matrix outputs in ComputeTopN if they belong to a disabled unichar_id
• pass UNICHARSET refs to check that
• in SetBlackAndWhitelist, also update the unicharset of the lstm_recognizer_ instance, if any

I'd like to propose changes to tesseract source tree structure. Today the common way is to have src folder with all program stuff and include folder with public headers. Now we have a lot of dirs in the root - that's very annoying. On the first stage I propose:

1. move all sources into src
2. move training tools from training to tools/training

Later we can try to move public headers to include directory.

The new look will be like:

If there are no objections, I'll commit changes.

This is step by step that I used to install tesseract 4.0 on my MAC OS X and the fixes/workaround I needed to do so I could make it work. I'm sharing this "guide" with the intention of helping other people who may have the same problems I had.

Special thanks for Shree that helped me at the google groups

Project and more details: https://github.com/tesseract-ocr/tesseract

where to get help?

google group: https://groups.google.com/forum/#!forum/tesseract-ocr git: https://github.com/tesseract-ocr/tesseract/issues

Platform: MAC OS X 10.13.3 Tesseract: 4.0.0-beta.1-69-g10f4 leptonica-1.75.3 libjpeg 9c : libpng 1.6.34 : libtiff 4.0.9 : zlib 1.2.11

Found AVX2 Found AVX Found SSE

Compiling Tesseract - tesseract 4.0

Reference: https://github.com/tesseract-ocr/tesseract/wiki/Compiling#macos

Warning: Don't install tesseract using brew, since you can't generate the ScrollView.jar from it! (At least I wasn't able to generate it)

Steps

1 - Install these libs

brew install automake autoconf autoconf-archive libtool
brew install pkgconfig
brew install icu4c
brew install leptonica
brew install gcc

2 - Run the code

ln -hfs /usr/local/Cellar/icu4c/60.2 /usr/local/opt/icu4c

Obs.: text2image is set to use icu4c/60.2 but the actual version is icu4c/61.1

3 - Clone tesseract repo

git clone https://github.com/tesseract-ocr/tesseract/

4 - Enter in the folder

cd tesseract

5 - Run the script

./autogen.sh

6 - Run the code, and copy the CPPFLAGS and LDFLAGS

brew info icu4c

7 - Update the CPPFLAGS and LDFLAGS and execute the code

./configure \
  CPPFLAGS=-I/usr/local/opt/icu4c/include \
  LDFLAGS=-L/usr/local/opt/icu4c/lib

8 - Run the code

make -j

9 - Run the code

sudo make install

10 - Run the code

sudo update_dyld_shared_cache

Obs.: this is the sudo ldconfig version for MAC OS X

11 - Run the code

make training

Creating ScrollView.jar - tesseract 4.0

Reference: https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00#lstmtraining-command-line https://github.com/tesseract-ocr/tesseract/wiki/ViewerDebugging

Important: Use the JDK 8 to build, or else it is going to return an error

Steps

1 - Download the files piccolo2d-core-3.0.jar and piccolo2d-extras-3.0.jar

http://search.maven.org/remotecontent?filepath=org/piccolo2d/piccolo2d-core/3.0/piccolo2d-core-3.0.jar http://search.maven.org/remotecontent?filepath=org/piccolo2d/piccolo2d-extras/3.0/piccolo2d-extras-3.0.jar

2 - Move the files piccolo2d-core-3.0.jar and piccolo2d-extras-3.0.jar to tesseract/java

3 - Enter the tesseract/java folder

cd java

4 - Set the var SCROLLVIEW_PATH to your tesseract/java folder and run the code

SCROLLVIEW_PATH=~/projects/tesseract/java make ScrollView.jar

Training Font - tesseract 4.0

Reference: https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00#user-content-using-tesstrain

Steps

1 - Clone the langdata dir from git

git clone https://github.com/tesseract-ocr/langdata

2 - Enter the tesseract folder

cd ..

3 - Execute this code and select one font from the list (I recommend "Verdana")

text2image --list_available_fonts --fonts_dir=/Library/Fonts

Font dir for MAC can be : ~/Library/Fonts /Library/Fonts/ /Network/Library/Fonts/ /System/Library/Fonts/ /System Folder/Fonts/

More details here: https://support.apple.com/en-us/HT201722

4 - replace the line 195 at file tesseract/training/tesstrain_utils.sh from

- export FONT_CONFIG_CACHE=$(mktemp -d --tmpdir font_tmp.XXXXXXXXXX)
+ export FONT_CONFIG_CACHE=$(mktemp -d -t font_tmp.XXXXXXXXXX)

Obs.: this is a fix for the error:

mktemp: illegal option -- -
usage: mktemp [-d] [-q] [-t prefix] [-u] template ...
       mktemp [-d] [-q] [-u] -t prefix
/Users/username/projects/tesseract/training/tesstrain_utils.sh: line 197: /sample_text.txt: Permission denied

5 - Clone the tessdata repo from git (i recommend the "tessdata_best" since it is the more precise, "tessdata_fast" is just more fast)

git clone https://github.com/tesseract-ocr/tessdata_best

or

git clone https://github.com/tesseract-ocr/tessdata_fast

6 - Copy the tessdata_best/eng.traineddata (for english training) from the tessdata you just cloned and past at tesseract/tessdata/

7 - Create the training data

PANGOCAIRO_BACKEND=fc \
~/projects/tesseract/training/tesstrain.sh \
  --fonts_dir /Library/Fonts \
  --lang eng \
  --linedata_only \
  --noextract_font_properties \
  --exposures "0"    \
  --langdata_dir ~/projects/langdata \
  --tessdata_dir ~/projects/tesseract/tessdata \
  --fontlist "Verdana" \
  --output_dir ~/tesstutorial/engtrain

Add the prefix PANGOCAIRO_BACKEND=fc if using MAC OSX

8 - Create other training data using other font to compare

PANGOCAIRO_BACKEND=fc \
~/projects/tesseract/training/tesstrain.sh \
  --fonts_dir /Library/Fonts \
  --lang eng \
  --linedata_only \
  --noextract_font_properties \
  --exposures "0"    \
  --langdata_dir ~/projects/langdata \
  --tessdata_dir ~/projects/tesseract/tessdata \
  --fontlist "Times New Roman," \
  --output_dir ~/tesstutorial/engeval

Add the prefix PANGOCAIRO_BACKEND=fc if using MAC OSX

9 - Create the needed folder

mkdir -p ~/tesstutorial/engoutput

10 - Start the training

SCROLLVIEW_PATH=~/projects/tesseract/java \
~/projects/tesseract/training/lstmtraining \
--debug_interval 100 \
--traineddata ~/tesstutorial/engtrain/eng/eng.traineddata \
--net_spec '[1,36,0,1 Ct3,3,16 Mp3,3 Lfys48 Lfx96 Lrx96 Lfx256 O1c111]' \
--model_output ~/tesstutorial/engoutput/base \
--learning_rate 20e-4 \
--train_listfile ~/tesstutorial/engtrain/eng.training_files.txt \
--eval_listfile ~/tesstutorial/engeval/eng.training_files.txt \
--max_iterations 5000 &>~/tesstutorial/engoutput/basetrain.log

Case you failed to build ScrollView.jar, set debug_interval to -1 --debug_interval -1

11 - Monitor the log on another console

tail -f ~/tesstutorial/engoutput/basetrain.log

12 - Test Accuracy with other font

~/projects/tesseract/training/lstmeval \
  --model ~/tesstutorial/engoutput/base_checkpoint \
  --traineddata ~/tesstutorial/engtrain/eng/eng.traineddata \
  --eval_listfile ~/tesstutorial/engeval/eng.training_files.txt

13 - Test Accuracy with best traindata

~/projects/tesseract/training/lstmeval \
  --model ~/projects/tessdata_best/eng.traineddata \
  --eval_listfile ~/tesstutorial/engeval/eng.training_files.txt

14 - Test Accuracy with actual traindata (in this case the same as step 13)

~/projects/tesseract/training/lstmeval \
  --model ~/projects/tesseract/tessdata/eng.traineddata \
  --eval_listfile ~/tesstutorial/engtrain/eng.training_files.txt

Fine tuning - tesseract 4.0

Reference: https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00#fine-tuning-for-impact

Steps

1 - Create the necessary folder

mkdir -p ~/tesstutorial/verdana_from_small

2 - Start to fine tuning

~/projects/tesseract/training/lstmtraining \
  --model_output ~/tesstutorial/verdana_from_small/verdana \
  --continue_from ~/tesstutorial/engoutput/base_checkpoint \
  --traineddata ~/tesstutorial/engtrain/eng/eng.traineddata \
  --train_listfile ~/tesstutorial/engeval/eng.training_files.txt \
  --max_iterations 1200

3 - Validate the progress

~/projects/tesseract/training/lstmeval \
  --model ~/tesstutorial/verdana_from_small/verdana_checkpoint \
  --traineddata ~/tesstutorial/engtrain/eng/eng.traineddata \
  --eval_listfile ~/tesstutorial/engeval/eng.training_files.txt

4 - Create the necessary folder

mkdir -p ~/tesstutorial/verdana_from_full

5 - Combine the trained data

~/projects/tesseract/training/combine_tessdata \
  -e ~/projects/tesseract/tessdata/eng.traineddata \
  ~/tesstutorial/verdana_from_full/eng.lstm

6 - Train merged data

~/projects/tesseract/training/lstmtraining \
  --model_output ~/tesstutorial/verdana_from_full/verdana \
  --continue_from ~/tesstutorial/verdana_from_full/eng.lstm \
  --traineddata ~/projects/tesseract/tessdata/eng.traineddata \
  --train_listfile ~/tesstutorial/engeval/eng.training_files.txt \
  --max_iterations 400

7 - Validate the results on the main training file

~/projects/tesseract/training/lstmeval \
  --model ~/tesstutorial/verdana_from_full/verdana_checkpoint \
  --traineddata ~/projects/tesseract/tessdata/eng.traineddata \
  --eval_listfile ~/tesstutorial/engeval/eng.training_files.txt

8 - Validate the results on our training file

~/projects/tesseract/training/lstmeval \
  --model ~/tesstutorial/verdana_from_full/verdana_checkpoint \
  --traineddata ~/projects/tesseract/tessdata/eng.traineddata \
  --eval_listfile ~/tesstutorial/engtrain/eng.training_files.txt

Fine tuning add ± character - tesseract 4.0

Reference: https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00#fine-tuning-for--a-few-characters

Steps

1 - Modify langdata/eng/eng.training_text and include these lines:

alkoxy of LEAVES ±1.84% by Buying curved RESISTANCE MARKED Your (Vol. SPANIEL
TRAVELED ±85¢ , reliable Events THOUSANDS TRADITIONS. ANTI-US Bedroom Leadership
Inc. with DESIGNS self; ball changed. MANHATTAN Harvey's ±1.31 POPSET Os—C(11)
VOLVO abdomen, ±65°C, AEROMEXICO SUMMONER = (1961) About WASHING Missouri
PATENTSCOPE® # © HOME SECOND HAI Business most COLETTI, ±14¢ Flujo Gilbert
Dresdner Yesterday's Dilated SYSTEMS Your FOUR ±90° Gogol PARTIALLY BOARDS firm
Email ACTUAL QUEENSLAND Carl's Unruly ±8.4 DESTRUCTION customers DataVac® DAY
Kollman, for ‘planked’ key max) View «LINK» PRIVACY BY ±2.96% Ask! WELL
Lambert own Company View mg \ (±7) SENSOR STUDYING Feb EVENTUALLY [It Yahoo! Tv
United by #DEFINE Rebel PERFORMED ±500Gb Oliver Forums Many | ©2003-2008 Used OF
Avoidance Moosejaw pm* ±18 note: PROBE Jailbroken RAISE Fountains Write Goods (±6)
Oberflachen source.” CULTURED CUTTING Home 06-13-2008, § ±44.01189673355 €
netting Bookmark of WE MORE) STRENGTH IDENTICAL ±2? activity PROPERTY MAINTAINED

2 - Generate the training file

PANGOCAIRO_BACKEND=fc \
~/projects/tesseract/training/tesstrain.sh \
  --fonts_dir /Library/Fonts \
  --lang eng \
  --linedata_only \
  --noextract_font_properties \
  --langdata_dir ~/projects/langdata \
  --tessdata_dir ~/projects/tesseract/tessdata \
  --fontlist "Times New Roman," \
              "Times New Roman, Bold" \
              "Times New Roman, Bold Italic" \
              "Times New Roman, Italic" \
              "Courier New" \
              "Courier New Bold" \
              "Courier New Bold Italic" \
              "Courier New Italic" \
  --output_dir ~/tesstutorial/trainplusminus

3 - Generate the eval data

PANGOCAIRO_BACKEND=fc \
~/projects/tesseract/training/tesstrain.sh \
  --fonts_dir /Library/Fonts \
  --lang eng \
  --linedata_only \
  --noextract_font_properties \
  --langdata_dir ~/projects/langdata \
  --tessdata_dir ~/projects/tesseract/tessdata \
  --fontlist "Verdana" \
  --output_dir ~/tesstutorial/evalplusminus

4 - Combine trained data files

~/projects/tesseract/training/combine_tessdata \
  -e ~/projects/tesseract/tessdata/eng.traineddata \
  ~/tesstutorial/trainplusminus/eng.lstm

5 - Fine tuning

~/projects/tesseract/training/lstmtraining \
  --model_output ~/tesstutorial/trainplusminus/plusminus \
  --continue_from ~/tesstutorial/trainplusminus/eng.lstm \
  --traineddata ~/tesstutorial/trainplusminus/eng/eng.traineddata \
  --old_traineddata ~/projects/tesseract/tessdata/eng.traineddata \
  --train_listfile ~/tesstutorial/trainplusminus/eng.training_files.txt \
  --max_iterations 3600

6 - Test the result on other fonts

~/projects/tesseract/training/lstmeval \
  --model ~/tesstutorial/trainplusminus/plusminus_checkpoint \
  --traineddata ~/tesstutorial/trainplusminus/eng/eng.traineddata \
  --eval_listfile ~/tesstutorial/trainplusminus/eng.training_files.txt

6 - Test the result test on main font

~/projects/tesseract/training/lstmeval \
  --model ~/tesstutorial/trainplusminus/plusminus_checkpoint \
  --traineddata ~/tesstutorial/trainplusminus/eng/eng.traineddata \
  --eval_listfile ~/tesstutorial/evalplusminus/eng.training_files.txt

While Acrobat XI can find text in a PDF, it appears that poppler's pdftotext program, OS X's Preview app, and the library PyPDF2's extractText() function all fail to locate text. It seems that Tesseract is encoding text in a way that makes it inaccessible to many PDF viewers.

pdftotext produces empty output. Preview app allows highlighting of text in the appropriate locations, but it cannot be copied to the clipboard or searched. PyPDF2 extractText also produces an empty string as text.

Basic Information

tesseract v5.3.0.20221222 leptonica-1.78.0 libgif 5.1.4 : libjpeg 8d (libjpeg-turbo 1.5.3) : libpng 1.6.34 : libtiff 4.0.9 : zlib 1.2.11 : libwebp 0.6.1 : libopenjp2 2.3.0 Found AVX2 Found AVX Found FMA Found SSE4.1 Found libarchive 3.5.0 zlib/1.2.11 liblzma/5.2.3 bz2lib/1.0.6 liblz4/1.7.5 libzstd/1.4.5 Found libcurl/7.77.0-DEV Schannel zlib/1.2.11 zstd/1.4.5 libidn2/2.0.4 nghttp2/1.31.0

Windows

• [X] Windows 11
• [ ] Windows 10

Current Behavior

The string output of the file is correct,

[..]
Nutrition Facts 4
[..]

yet when selecting tsv output. Each word is placed on a newline.

5       1       1       1       1       1       48      0       562     323     76.177887       Nutrition
5       1       1       1       1       2       661     64      358     188     96.668480       Facts
5       1       1       1       1       3       1062    0       60      269     55.497231       4

Expected Behavior

To display the information similar to the string output.

Suggested Fix

Is there a way to omit/combine the items within the word_num column? Using psm did not have any effect

Other Information

No response

Before you submit an issue, please review the guidelines for this repository.

Please report an issue only for a BUG, not for asking questions.

Note that it will be much easier for us to fix the issue if a test case that reproduces the problem is provided. Ideally this test case should not have any external dependencies. Provide a copy of the image or link to files for the test case.

Please delete this text and fill in the template below.

Environment

Tesseract Version: tesseract v5.1.0.20220510, 32-Bit leptonica-1.78.0 libgif 5.1.4 : libjpeg 8d (libjpeg-turbo 1.5.3) : libpng 1.6.34 : libtiff 4.0.9 : zlib 1.2.11 : libwebp 0.6.1 : libopenjp2 2.3.0 Found SSE4.1 Found libarchive 3.5.0 zlib/1.2.11 liblzma/5.2.3 bz2lib/1.0.6 liblz4/1.7.5 libzstd/1.4.5 Found libcurl/7.77.0-DEV Schannel zlib/1.2.11 zstd/1.4.5 libidn2/2.0.4 nghttp2/1.31.0

Platform: Microsoft Windows 10 Enterprise, Version 10.0.19045 Build 19045, 64-Bit

Current Behavior:

• Wrong Word-Confidence for input file "NOK.jpg".
• Correct Word-Confidence for input file "OK.jpg" (image is almost identical with "NOK.jpg"
• See attached input-, hocr- and own log- files

Expected Behavior:

Correct Word-Confidence

Suggested Fix:

hocr_NOK.txt hocr_OK.txt

tesseract failed to build error LNK2001: 'unresolved external symbol "double __cdecl tesseract::DotProductAVX(double const *,double const *,int)" ([email protected]@@[email protected]) (EC Symbol)' with MSVC on Windows arm64ec. It can reproduce on latest version on main branch. Could you please help look at this issue?

Repro steps:

1. set VSCMD_SKIP_SENDTELEMETRY=1 & "C:\Program Files (x86)\Microsoft Visual Studio\2019\Enterprise\Common7\Tools\VsDevCmd.bat" -host_arch=amd64 -arch=arm64
2. git clone https://github.com/tesseract-ocr/tesseract F:\tesseract
3. cd F:\tesseract
4. git submodule update --init --recursive
5. set PATH=F:\gitP\tesseract-ocr\tools;%PATH%
6. sw setup
7. mkdir build_arm64ec & cd build_arm64ec
8. cmake -G "Visual Studio 16 2019" -A ARM64EC -DCMAKE_SYSTEM_VERSION=10.0.22618.0 -DCMAKE_BUILD_TYPE=Release -DBUILD_TRAINING_TOOLS=OFF -DINSTALL_CONFIGS=OFF -DFAST_FLOAT=OFF ..
9. msbuild /m /p:Platform=ARM64EC /p:Configuration=Release tesseract.sln /t:Rebuild

Error info:

9>tesseract52.lib(simddetect.obj) : error LNK2001: unresolved external symbol "float __cdecl tesseract::DotProductAVX(float const *,float const *,int)" ([email protected]@@[email protected]) (EC Symbol) [F:\tesseract\build_arm64ec\tesseract.vcxproj]
9>tesseract52.lib(simddetect.obj) : error LNK2019: unresolved external symbol "float __cdecl tesseract::DotProductAVX(float const *,float const *,int)" ([email protected]@@[email protected]) referenced in function "private: __cdecl tesseract::SIMDDetect::SIMDDetect(void)" ([email protected]@@[email protected]) (EC Symbol) [F:\tesseract\build_arm64ec\tesseract.vcxproj]
 9>tesseract52.lib(simddetect.obj) : error LNK2001: unresolved external symbol "float __cdecl tesseract::DotProductAVX512F(float const *,float const *,int)" ([email protected]@@[email protected]) (EC Symbol) [F:\tesseract\build_arm64ec\tesseract.vcxproj]
9>tesseract52.lib(simddetect.obj) : error LNK2019: unresolved external symbol "float __cdecl tesseract::DotProductAVX512F(float const *,float const *,int)" ([email protected]@@[email protected]) referenced in function "private: __cdecl tesseract::SIMDDetect::SIMDDetect(void)" ([email protected]@@[email protected]) (EC Symbol) [F:\tesseract\build_arm64ec\tesseract.vcxproj]
9>tesseract52.lib(simddetect.obj) : error LNK2001: unresolved external symbol "float __cdecl tesseract::DotProductFMA(float const *,float const *,int)" ([email protected]@@[email protected]) (EC Symbol) [F:\tesseract\build_arm64ec\tesseract.vcxproj]
9>tesseract52.lib(simddetect.obj) : error LNK2019: unresolved external symbol "float __cdecl tesseract::DotProductFMA(float const *,float const *,int)" ([email protected]@@[email protected]) referenced in function "public: static void __cdecl tesseract::SIMDDetect::Update(void)" ([email protected]@tesseract@@$$hSAXXZ) (EC Symbol) [F:\tesseract\build_arm64ec\tesseract.vcxproj]
9>tesseract52.lib(simddetect.obj) : error LNK2001: unresolved external symbol "float __cdecl tesseract::DotProductSSE(float const *,float const *,int)" ([email protected]@@[email protected]) (EC Symbol) [F:\tesseract\build_arm64ec\tesseract.vcxproj]
 9>tesseract52.lib(simddetect.obj) : error LNK2019: unresolved external symbol "float __cdecl tesseract::DotProductSSE(float const *,float const *,int)" ([email protected]@@[email protected]) referenced in function "private: __cdecl tesseract::SIMDDetect::SIMDDetect(void)" ([email protected]@@[email protected]) (EC Symbol) [F:\tesseract\build_arm64ec\tesseract.vcxproj]
 9>tesseract52.lib(simddetect.obj) : error LNK2019: unresolved external symbol "public: static struct tesseract::IntSimdMatrix const tesseract::IntSimdMatrix::intSimdMatrixAVX2" ([email protected]@tesseract@@[email protected]) referenced in function "private: __cdecl tesseract::SIMDDetect::SIMDDetect(void)" ([email protected]@@[email protected]) (EC Symbol) [F:\tesseract\build_arm64ec\tesseract.vcxproj]
 9>tesseract52.lib(simddetect.obj) : error LNK2019: unresolved external symbol "public: static struct tesseract::IntSimdMatrix const tesseract::IntSimdMatrix::intSimdMatrixSSE" ([email protected]@tesseract@@[email protected]) referenced in function "private: __cdecl tesseract::SIMDDetect::SIMDDetect(void)" ([email protected]@@$$[email protected]) (EC Symbol) [F:\tesseract\build_arm64ec\tesseract.vcxproj]
9>F:\tesseract\build_arm64ec\bin\Release\tesseract.exe : fatal error LNK1120: 10 unresolved externals [F:\tesseract\build_arm64ec\tesseract.vcxproj]

Error log: tesseract_build.log

Environment

• Tesseract Version: 5.2.0
• Platform: Windows 10, x64

Current Behavior:

PDF Render renders two different lines on the same line, intermixing the chars.

I cannot post the full original image here because of GDPR, but I can show part of it and the HOCR from that and the resulting text in PDF. Hopefully this is enough, but if not, feel free to contact me.

Part of HOCR;

tesseract.exe "C:\support\redacted.png" "c:\support\redacted" --tessdata-dir "C:\Tesseract\tessdata_best-main" -l eng --psm 4 --oem 1 -c tessedit_create_hocr=1

Selected all text in PDF:

Copied and pasted to notepad gives intermixed text;

No: Date: 09.2221420323 09.22

Expected Behavior:

To have two separate lines which can be copy/pasted.

Suggested Fix:

Environment

• Tesseract Version: 4.0 and newer
• Commit Number:
• Platform: issue is independent of the platform

Current Behavior:

In the C API, the function int TessBaseAPIInit1() accepts a list of configuration files with the parameters char **configs, int configs_size. Although configs is used read-only, it is not correctly const-qualified, which is annoying for me as a user because I have to use const_cast.

char * configs[1];
configs[0] = const_cast<char *>(strConfigFile.c_str());
int r = TessBaseAPIInit1(h, strTessdata.c_str(), "eng", OEM_DEFAULT, configs, 1);

Expected Behavior:

TessBaseAPIInit1 should accept an array of const char pointers.

Suggested Fix:

Change the signature from TESS_API int TessBaseAPIInit1(TessBaseAPI *handle, const char *datapath, const char *language, TessOcrEngineMode oem, char **configs, int configs_size);

to

TESS_API int TessBaseAPIInit1(TessBaseAPI *handle, const char *datapath, const char *language, TessOcrEngineMode oem, const char **configs, int configs_size);

The implementation is the same because the function does not modify the array of strings.

From issue #3560:

@stweil commented,

There are other training aspects which I consider more important.

One is continuation of an interrupted training. That should start with the line following the last one which was used for training. I'm afraid that it currently starts with the first line, so a training which was interrupted is different compared to a training which runs without any interrupt.