Does it support tesseract 5? [email protected]

[nissansz]

Does it support tesseract 5? [email protected]

[buliasz]

Definitely. It is tested on version 5 but should work with all 4+ versions as well.

[nissansz]

Do you have trained Chinese / Japanese models? How about accuracy vs paddleocr (crnn)?

Below is my training result on scene text for Japanese drama.

[nissansz]

I tried your sample data. It works to train. But how to prepare Japanese dataset and how to configure settings for Japanese in Gui?

Warning: given outputs 77 not equal to unicharset of 76.
Num outputs,weights in Series:
1,36,0,1:1, 0
Num outputs,weights in Series:
C3,3:9, 0
Ft16:16, 160
Total weights = 160
[C3,3Ft16]:16, 160
Mp3,3:16, 0
TxyLfys48:48, 12480
Lfx96:96, 55680
RxLrx96:96, 74112
Lfx192:192, 221952
Fc76:76, 14668
Total weights = 379052
Built network:[1,36,0,1[C3,3Ft16]Mp3,3TxyLfys48Lfx96RxLrx96Lfx192Fc76] from request [1,36,0,1 Ct3,3,16 Mp3,3 Lfys48 Lfx96 Lrx96 Lfx192 O1c77]
Training parameters:
Debug interval = 0, weights = 0.1, learning rate = 0.002, momentum=0.5
null char=75
2 Percent improvement time=100, best error was 100 @ 0
At iteration 100/100/100, Mean rms=6.824000%, delta=43.526000%, BCER train=99.900000%, BWER train=100.000000%, skip ratio=0.000000%, New best BCER = 99.900000 wrote checkpoint.

At iteration 200/200/200, Mean rms=6.729000%, delta=41.808000%, BCER train=99.941000%, BWER train=100.000000%, skip ratio=0.000000%, New worst BCER = 99.941000 wrote checkpoint.

At iteration 300/300/300, Mean rms=6.689000%, delta=41.587000%, BCER train=99.961000%, BWER train=100.000000%, skip ratio=0.000000%, New worst BCER = 99.961000 wrote checkpoint.

2 Percent improvement time=400, best error was 100 @ 0
At iteration 400/400/400, Mean rms=6.662000%, delta=40.956000%, BCER train=99.856000%, BWER train=100.000000%, skip ratio=0.000000%, New best BCER = 99.856000 wrote checkpoint.

2 Percent improvement time=500, best error was 100 @ 0
At iteration 500/500/500, Mean rms=6.630000%, delta=40.401000%, BCER train=99.046000%, BWER train=100.000000%, skip ratio=0.000000%, New best BCER = 99.046000 wrote checkpoint.

2 Percent improvement time=600, best error was 100 @ 0
At iteration 600/600/600, Mean rms=6.605000%, delta=39.960000%, BCER train=98.374000%, BWER train=100.000000%, skip ratio=0.000000%, New best BCER = 98.374000 wrote checkpoint.

2 Percent improvement time=300, best error was 99.856 @ 400
At iteration 700/700/700, Mean rms=6.582000%, delta=39.464000%, BCER train=97.234000%, BWER train=100.000000%, skip ratio=0.000000%, New best BCER = 97.234000 wrote checkpoint.

2 Percent improvement time=300, best error was 99.046 @ 500
At iteration 800/800/800, Mean rms=6.568000%, delta=39.257000%, BCER train=96.503000%, BWER train=100.000000%, skip ratio=0.000000%, New best BCER = 96.503000 wrote checkpoint.

[nissansz]

I tried 100 lines jp. It can be trained. Result on training data is fine, either as new model and refined model.

[buliasz]

I'm glad you've managed to do it.
Just FYI there's a "Discussions" section which is more appropriate for such questions that the "Issues" section.