vahidrezanezhad
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cca4d17823
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new augmentations for patchwise training
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4 months ago |
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vahidrezanezhad
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c502e67c14
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adding foreground rgb to augmentation
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4 months ago |
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vahidrezanezhad
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9904846776
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using prepared binarized images in the case of augmentation
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4 months ago |
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vahidrezanezhad
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f31219b1c9
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scaling, channels shuffling, rgb background and red content added to no patch augmentation
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4 months ago |
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vahidrezanezhad
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95bbdf8040
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updating augmentations
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4 months ago |
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vahidrezanezhad
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7be326d689
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augmentation function for red textlines, rgb background and scaling for no patch case
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4 months ago |
b-vr103
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f2692cf8dd
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brightness augmentation modified
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5 months ago |
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vahidrezanezhad
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9521768774
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adding degrading and brightness augmentation to no patches case training
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5 months ago |
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vahidrezanezhad
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2aa216e388
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binarization as a separate task of segmentation
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6 months ago |
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vahidrezanezhad
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4e4490d740
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machine based reading order training is integrated
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7 months ago |
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vahidrezanezhad
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45aba32351
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Update utils.py
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8 months ago |
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vahidrezanezhad
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8d1050ec30
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inference script is added
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8 months ago |
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vahidrezanezhad
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38db3e9289
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adding enhancement training
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8 months ago |
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vahidrezanezhad
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dbb84507ed
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integrating first working classification training model
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8 months ago |
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vahidrezanezhad
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d27647a0f1
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first working update of branch
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8 months ago |
cneud
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02b1436f39
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code formatting with black; typos
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9 months ago |
vahid
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4bea9fd535
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continue training, losses and etc
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4 years ago |
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vahid
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5fb7552dbe
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first updates, padding, rotations
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4 years ago |
 Gerber, Mike
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4897fd3dd7
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📝 howto: Be more verbose with the subtree pull
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5 years ago |