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