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Using tesstrain.sh:src/training/tesstrain.sh --fonts_dir /usr/share/fonts --lang eng --linedata_only \--noextract_font_properties --langdata_dir ../langdata \--tessdata_dir ./tessdata \--fontlist "E13Bnsd" --output_dir ~/tesstutorial/e13beval \--training_text ../langdata/eng/eng.training_e13b_textTraining from scratch:mkdir -p ~/tesstutorial/e13boutputsrc/training/lstmtraining --debug_interval 100 \--traineddata ~/tesstutorial/e13beval/eng/eng.traineddata \--net_spec '[1,36,0,1 Ct3,3,16 Mp3,3 Lfys48 Lfx96 Lrx96 Lfx256 O1c111]' \--model_output ~/tesstutorial/e13boutput/base --learning_rate 20e-4 \--train_listfile ~/tesstutorial/e13beval/eng.training_files.txt \--eval_listfile ~/tesstutorial/e13beval/eng.training_files.txt \--max_iterations 5000 &>~/tesstutorial/e13boutput/basetrain.logTest with base_checkpoint:src/training/lstmeval --model ~/tesstutorial/e13boutput/base_checkpoint \--traineddata ~/tesstutorial/e13beval/eng/eng.traineddata \--eval_listfile ~/tesstutorial/e13beval/eng.training_files.txtCombining output files:src/training/lstmtraining --stop_training \--continue_from ~/tesstutorial/e13boutput/base_checkpoint \--traineddata ~/tesstutorial/e13beval/eng/eng.traineddata \--model_output ~/tesstutorial/e13boutput/eng.traineddatatesseract e13b.png out --tessdata-dir /home/koichi/tesstutorial/e13boutputTest with eng.traineddata:
At iteration 561/2500/2500, Mean rms=0.159%, delta=0%, char train=0%, word train=0%, skip ratio=0%, New best char error = 0 wrote best model:/home/koichi/tesstutorial/e13boutput/base0_561.checkpoint wrote checkpoint.
At iteration 0, stage 0, Eval Char error rate=0, Word error rate=0
On Wed, May 29, 2019 at 3:18 PM ElGato ElMago <elmago...@gmail.com> wrote:
--Hi,I wish to make a trained data for E13B font.I read the training tutorial and made a base_checkpoint file according to the method in Training From Scratch. Now, how can I make a trained data from the base_checkpoint file?
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2019年6月14日金曜日 1時48分40秒 UTC+9 shree:
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Hi,
There seem to be some more cases to cause phantom characters. I'll look them in. But I have a trivial question now. I made ScrollView show these displays by accidentally clicking Display->Blamer menu. There is Bounding Boxes menu below but it ends up showing a blue screen though it briefly shows boxes on the way. Can I use this menu at all? It'll be very useful.
To show the characters, deselect DISPLAY/Bounding Boxes, select DISPLAY/Polygonal Approx and then select OTHER/Uniform display.
2019年6月14日金曜日 1時48分40秒 UTC+9 shree:
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9;:;=;<;< <0<1<3<4;6;8;9;:;=;
2019年6月14日金曜日 1時48分40秒 UTC+9 shree:
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2019年6月14日金曜日 1時48分40秒 UTC+9 shree:
2019年5月29日水曜日 19時14分08秒 UTC+9 shree:
____________________________________________________________
भजन - कीर्तन - आरती @ <a href="http://bhajans.ramparivar.com" rel="nofollow" target="_blank" onmousedown="this.href='http://www.google.com/url?q\x3dh
2019年6月14日金曜日 1時48分40秒 UTC+9 shree:
2019年5月29日水曜日 19時14分08秒 UTC+9 shree:
</blockquote
HI,I'm thinking of sharing it of course. What is the best way to do it? After all this, the contribution part of mine is only how I prepared the training text. Even that is consist of Shree's text and mine. The instructions and tools I used already exist.
2019年6月14日金曜日 1時48分40秒 UTC+9 shree:
2019年5月29日水曜日 19時14分08秒 UTC+9 shree:
I read the training tutorial and made a base_checkpoint file according to the method in Training From Scratch. Now, how can I make a trained data from the base_checkpoint file?</di
</d
2019年6月14日金曜日 1時48分40秒 UTC+9 shree:
2019年5月29日水曜日 19時14分08秒 UTC+9 shree:see <a style="font-family: Arial,Helvetica,sans-serif; font-size: small;" onmousedown="this.href='https://www.google.com/url?q\x3dhttps%3A%2F%2Fgithub.com%2Ftesseract-ocr%2Ftesseract%2Fwiki%2FTrainingTesseract-4.00%23combining-the-output-files\x26sa\x3dD\x26sntz\x3d1\x26usg\x3dAFQjCNE52zlo1Ag3z7wNDKcmFL3rMf5LXQ';return true;" onclick="this.href='https://www.google.com/url?q\x3dhttps%3A%2F%2Fgithub.com%2Ftesseract-ocr%2Ftesseract%2Fwiki%2FTrainingTesseract-4.00%23combining-the-output-files\x26sa\x3dD\x26sntz\x3d1\x26usg\x3dAFQjCNE52zlo1Ag3z7wNDKcmFL3rMf5LXQ';retur
Here's my sharing on GitHub. Hope it's of any use for somebody.
I added eng.traineddata and LICENSE. I used my account name in the license file. I don't know if it's appropriate or not. Please tell me if it's not.
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Hello,
Thanks again for sharing your E-13B traineddata, it was helpful. We’ve managed to get good accuracy for E-13B with Tesseract but failed with CMC-7. So, we ended using TensorFlow for both fonts. I’m curious to know which level of accuracy you’ve reached. You can check our accuracy for Tesseract using app at https://github.com/DoubangoTelecom/tesseractMICR#the-recognizer-app. For Tensorflow at https://www.doubango.org/webapps/micr/.
Also, have you tried with real life samples (e.g. random images from Google search)? Why are you including the SPACE in your charset and training data? It makes the convergence harder. As promised, the dataset is hosted at https://github.com/DoubangoTelecom/tesseractMICR