* Update `feature_visualization()`

Only plot for data with height, width > 1

* cleanup

* Cleanup

* Add feature map visualization

Add a feature_visualization function to visualize the mid feature map of the model.

* Update yolo.py

* remove boolean from forward and reorder if statement

* remove print from forward

* General cleanup

* Indent

* Update plots.py

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

* link to the competition repaired

* Update README.md

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

For seed=0 on single-GPU.

* merge master

* Update get_coco.sh

Co-authored-by: U-LAPTOP-5N89P8V7\banhu <ban.huang@foxmail.com>

* update clip_coords for numpy

* uncomment

* cleanup

* Add autosplits

* fix

* cleanup

* Update tables API and windows path fix

* update dataset check

* Edit Comments for numpy2torch tensor process

Edit Comments for numpy2torch tensor process

* add xyxy2xywhn

add xyxy2xywhn

* add xyxy2xywhn

* formatting

* pass arguments

pass arguments

* edit comment for xyxy2xywhn()

edit comment for xyxy2xywhn()

* cleanup datasets.py

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

edit comment

* Fix `img2label_paths()` order

* fix, 1

* Add yolov5/ to path

* rename functions to run()

* cleanup

* rename fix

* CI fix

* cleanup find models/export.py

* Allow config cahnge

* Allow val change in wandb config

* Don't resume transfer learning runs

* Add entity in log dataset

* Update train.py explicit arguments

* Update train.py

* Add run method

* Eliminate `total_batch_size` variable

* cleanup

* Update train.py

* Update DDP for `torch.distributed.run`

* Add LOCAL_RANK

* remove opt.local_rank

* backend="gloo|nccl"

* print

* print

* debug

* debug

* os.getenv

* gloo

* gloo

* gloo

* cleanup

* fix getenv

* cleanup

* cleanup destroy

* try nccl

* return opt

* add --local_rank

* add timeout

* add init_method

* gloo

* move destroy

* move destroy

* move print(opt) under if RANK

* destroy only RANK 0

* move destroy inside train()

* restore destroy outside train()

* update print(opt)

* cleanup

* nccl

* gloo with 60 second timeout

* update namespace printing

* Slightly modify CLI execution

This simple change makes it easier to run the primary functions of this
repo (train/detect/test) from within Python. An object which represents
`opt` can be constructed and fed to the `main` function of each of these
modules, rather than having to call the lower level functions directly,
or run the module as a script.

* Update export.py

Add CLI parsing update for more convenient module usage within Python.

Co-authored-by: Lewis Belcher <lb@desupervised.io>

* Create shortcircuit in augment_hsv when hyperparameter are zero

* implement faster opt-in

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

* EMA changes for pre-model's batch_size

* Update train.py

* Update torch_utils.py

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