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feat: Customize training and validation logic
* feat: Add loss - bce_with_logits_loss - dice_bce_loss - dice_loss - iou_loss - focal_loss - tversky_loss - focal_tversky_loss - lovasz_hinge_loss - combo_loss #13 * docs: add bce with logits loss in config #13 * fix: Use foward in class #13 * refactor: Change var name - inputs to outputs - targets to masks #13
* feat: Add smp models - Unet, Linknet, FPN, PSPNet, PAN model #35 * refactor: Move torchvision model to arch folder - add init - move torchvision model #35 * feat: add config file for smp library #35 * refactor: Move loss and metric to trainer - move loss and metric to traniner folder - remove arch folder and move models to model folder #35
- used mmap_ninja library - modifications on train.py, config.json - created make_mmap.py, dataset.py #11
* feat: Add inference - add inference - modify config #41 * remove: Remove MNIST data loader #41 * refactor: Refactor transform code - put transform in init #41 * refactor: Import CLASS2IND from utils - refactor code - remove warnings which doesn't work #41 * refactor: Remove SEED var and use default opt #41
* feat: Add csv visulize * remove: remove validation ensemble
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