* 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

* 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

* Replace 'ground truth' with 'labels'

* Using torch... update

* 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

* torch 1.7.0 compatibility updates

* add inference verification

* Precision-Recall Curve feature update

* sentinel value update

Co-authored-by: swsong <swsong@stratosphere.mobi>

* fix/hyper

* Hyp giou check to train.py

* restore general.py

* train.py overwrite fix

* restore general.py and pep8 update

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

* comment

* fix parsing

* fix evolve

* folder

* tqdm

* Update train.py

* Update train.py

* reinstate anchors into meta dict

anchor evolution is working correctly now

* reinstate logger

prefer the single line readout for concise logging, which helps simplify notebook and tutorials etc.

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

* initial commit

* Update general.py

Indent update

* Update general.py

refactor duplicate code

* 200 dpi

* Fix increment_dir to use run_xxx for logdir 

Rerunning train.py with logdir in the form of `run_xxx` causes index slicing in
```
n = max([int(x[len(dir):x.find('_') if '_' in Path(x).name else None]) for x in d]) + 1  # increment
```
to underflow.

* Replace find with rfind

fix a bug in load_mosaic

* add the configuration to deploy yolov5 in a docker container in app engine on google cloud

* remove the duplicated requirements, place the google app engine files in utils

* remove the unused requirements

Co-authored-by: guilhembau <guilhem@6dbytes.com>

* the value should be a list to unpacking

* filter the None labels

* update readme to remove apex dependency

* add support for DWConv fuse operation

* Add InfiniteDataLoader

Only initializes at first epoch. Saves time.

* Moved class to a better location

Don't load the entire torchvision library just for nms when the function is already in the torch library.