* fix error in train.py line 400, changed precision-recall_curve.png to precision_recall_curve.png and fix error in test.py of {wandb.init() before wandb.log()} by importing wand and initializing it before wand.log()

* Update test.py

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

* Update PR curve

* legend outside

* list(Path().glob())

* PyTorch Hub and autoShape update

* comment x for imgs

* reduce comment

* Recursive directories dataset capability

* x.split('.')[-1]

* f += glob.glob(f"{p}{os.sep}**.*", recursive=True)

* f += glob.glob(str(p / '**.*'), recursive=True)

* remove . from image and vid formats

* .txt to txt

* str(p / '**' / '*.*')

* W&B logging add hyperparameters

* hyp bug fix and image logging updates

* if plots and wandb:

* cleanup

* wandb/ gitignore add

* cleanup 2

* cleanup 3

* move wandb import to top of file

* wandb evolve

* update import

* wandb.run.finish()

* default anchors: 3

* Improved FLOPS computation

* update comment

* Utils reorganization

* Add new utils files

* cleanup

* simplify

* reduce datasets.py

* remove evolve.sh

* loadWebcam cleanup

* resume fix for yaml constructor posixpath error

* fix update

* remove weights/ dir backup

* Project/name update

* Update ci-testing.yml

* address project with path separator failure mode

* Project/name update

* address project with path separator failure mode

* Update ci-testing.yml

* detect.py default --name bug fix

* missing rstrip PR

* train/exp0 to train/exp

* update Write results

* Update detect.py

* Update test.py

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

* Replace 'ground truth' with 'labels'

* Using torch... update

* Use pathlib instead of low-level module

* Use pathlib instead of low-level module

* Update detect.py

* Update test.py

* reformat

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

* Create flatten_recursive() helper function

* cleanup

* print torch version

* Increment train, test, detect runs/

* Update ci-testing.yml

* inference/images to data/images

* move images

* runs/exp to runs/train/exp

* update 'results saved to %s' str

* autoshape update for PIL greyscale inputs

* autoshape update for PIL greyscale inputs

* Change optimizer parameters group method

* Add torch nn

* Change isinstance method(torch.Tensor to nn.Parameter)

* parameter freeze fix, PEP8 reformat

* freeze bug fix

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

* W&B feature improvements

This PR add:
* Class to id labels. Now, the caption of bounding boxes will display the class name and the class confidence score.
* The project name is set to "Yolov5" and the run name will be set to opt.logdir

* cleanup

* remove parenthesis on caption

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