30 commits

Author	SHA1	Message	Date
cneud	91d2a74ac9	remove redundant parentheses	2025-10-01 00:38:01 +02:00
cneud	f2f93e0251	list literal is faster than using list constructor to create a new list	2025-10-01 00:26:27 +02:00
vahidrezanezhad	f5a1d1a255	docker file to train model with desired cuda and cudnn	2025-06-25 18:24:16 +02:00
vahidrezanezhad	92954b1b7b	resolving issued with saving model by steps	2025-05-05 16:13:38 +02:00
vahidrezanezhad	5694d971c5	saving model by steps is added to reading order and pixel wise segmentation use cases training	2025-05-05 15:39:05 +02:00
Clemens Neudecker	44d02687c6	Merge pull request #18 from johnlockejrr/unifying-training-models ... Deprecations in train.py and check an argument in inference.py	2025-04-17 15:43:28 +02:00
vahidrezanezhad	825b2634f9	rotation augmentation is provided for machine based reading order	2025-04-16 23:36:41 +02:00
vahidrezanezhad	7b4d14b19f	addinh shifting augmentation	2024-10-29 17:06:22 +01:00
johnlockejrr	f09eed1197	Changed deprecated lr to learning_rate and model.fit_generator to model.fit	2024-10-19 13:25:50 -07:00
vahidrezanezhad	a57a31673d	adding foreground rgb to augmentation	2024-08-28 02:09:27 +02:00
vahidrezanezhad	aeb2ee4e3e	scaling, channels shuffling, rgb background and red content added to no patch augmentation	2024-08-21 19:33:23 +02:00
vahidrezanezhad	445c45cb87	updating augmentations	2024-08-21 16:17:59 +02:00
vahidrezanezhad	22d7359db2	Transformer+CNN structure is added to vision transformer type	2024-06-12 17:39:57 +02:00
vahidrezanezhad	95faf1a4c8	transformer patch size is dynamic now.	2024-06-12 13:26:27 +02:00
vahidrezanezhad	29da23da76	binarization as a separate task of segmentation	2024-06-11 17:48:30 +02:00
vahidrezanezhad	1921e6754f	updating train.py nontransformer backend	2024-06-10 22:15:30 +02:00
vahidrezanezhad	cc91e4b12c	updating train.py	2024-06-07 16:24:31 +02:00
vahidrezanezhad	9638098ae7	machine based reading order training is integrated	2024-05-24 16:39:48 +02:00
vahidrezanezhad	241cb907cb	Update train.py ... avoid ensembling if no model weights met the threshold f1 score in the case of classification	2024-05-08 14:47:16 +02:00
vahidrezanezhad	e1f62c2e98	inference script is added	2024-05-07 13:34:03 +02:00
vahidrezanezhad	c989f7ac61	adding enhancement training	2024-05-06 18:31:48 +02:00
vahidrezanezhad	ca63c097c3	integrating first working classification training model	2024-04-29 20:59:36 +02:00
vahidrezanezhad	6e06742e66	first working update of branch	2024-04-16 01:00:48 +02:00
cneud	666a62622e	code formatting with black; typos	2024-04-10 22:20:23 +02:00
cneud	39aa88669b	update parameter config docs (fix #11)	2024-04-10 21:40:23 +02:00
vahidrezanezhad	57dae564b3	adjusting to tf2	2024-04-04 11:26:28 +02:00
vahid	8884b90f05	continue training, losses and etc	2021-06-22 18:47:59 -04:00
vahid	070c2e0462	first updates, padding, rotations	2021-06-22 14:20:51 -04:00
vahidrezanezhad	b5f9b9c54a	Update main.py	2019-12-10 14:01:55 +01:00
Gerber, Mike	979b824aa8	📝 howto: Be more verbose with the subtree pull	2019-12-09 15:33:53 +01:00