Start setup for improved W&B integration (#1948)

* Add helper functions for wandb and artifacts

* cleanup

* Reorganize files

* Update wandb_utils.py

* Update log_dataset.py

We can remove this code, as the giou hyp has been deprecated for a while now.

* Reorganize and update dataloader call

* yaml.SafeLoader

* PEP8 reformat

* remove redundant checks

* Add helper functions for wandb and artifacts

* cleanup

* Reorganize files

* Update wandb_utils.py

* Update log_dataset.py

We can remove this code, as the giou hyp has been deprecated for a while now.

* Reorganize and update dataloader call

* yaml.SafeLoader

* PEP8 reformat

* remove redundant checks

* Update util files

* Update wandb_utils.py

* Remove word size

* Change path of labels.zip

* remove unused imports

* remove --rect

* log_dataset.py cleanup

* log_dataset.py cleanup2

* wandb_utils.py cleanup

* remove redundant id_count

* wandb_utils.py cleanup2

* rename cls

* use pathlib for zip

* rename dataloader to dataset

* Change import order

* Remove redundant code

* remove unused import

* remove unused imports

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

utils/datasets.py

@@ -348,7 +348,8 @@ class LoadImagesAndLabels(Dataset):  # for training/testing
         self.mosaic = self.augment and not self.rect  # load 4 images at a time into a mosaic (only during training)
         self.mosaic_border = [-img_size // 2, -img_size // 2]
         self.stride = stride
-
+        self.path = path
+        
         try:
             f = []  # image files
             for p in path if isinstance(path, list) else [path]: