* 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 / '**' / '*.*')

* 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

* 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

* Precision-Recall Curve feature update

* sentinel value update

* 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

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

eps reduced to 1e-9 for additional precaution.

* single command --resume

* else check files, remove TODO

* argparse.Namespace()

* tensorboard lr

* bug fix in get_latest_run()

* initial commit

* remove yolov3-spp from test.py study

* update study --img range

* update mAP

* cleanup and speed updates

* update README plot

* Add list paths on check_dataset

* missing raise statement

* Update general.py

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

* Change print to logging

* Clean function set_logging

* Add line spacing

* Change leftover prints to log

* Fix scanning labels output

* Fix rank naming

* Change leftover print to logging

* Reorganized DDP variables

* Fix type error

* Make quotes consistent

* Fix spelling

* Clean function call

* Add line spacing

* Update datasets.py

* Update train.py

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

* initial commit

* move download scripts into data/scripts

* new check_dataset() function in general.py

* move check_dataset() out of with context

* Update general.py

* DDP update

* Update general.py

* Single-source training

* Extract hyperparameters into seperate files

* weight decay scientific notation yaml reader bug fix

* remove import glob

* intersect_dicts() implementation

* 'or' bug fix

* .to(device) bug fix

* expand imports

* optimize

* miss

* fix