Returns `True` if file is part of pip package. Useful for contextual behavior modification.

```python
def is_pip():
    # Is file in a pip package?
    return 'site-packages' in Path(__file__).absolute().parts
```

* COCO evolution fix

* cleanup

* update print

* print fix

* Update datasets.py

* comment

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

add Open in Kaggle badge

* update ci-testing.yml

* update greetings.yml

* bring back os matrix

* update ci-testing.yml

* update greetings.yml

* bring back os matrix

* Add URL file download to check_file()

* cleanup

* pathlib bug fix

* `@torch.no_grad()` decorator

* Update detect.py

Add try: except clause on missing requirements install to catch install failures. Prompted by Ultralytics YOLOv5 API failure on Cython.

Ultralytics REST API fix.

* Changing save_one_box 

Made to work with other changes to common.py

* PEP8 and single line BGR

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

* adds latest tag to match wandb defaults

* adds entity handling, 'last' tag

* fixes bug causing finished runs to resume

* removes redundant "last" tag for wandb artifact

Bug fix to check batch_size divisibility of utilized CUDA device count vs total system CUDA device count.

* Check CoreML models.train() mode

* Update export.py

* Color can be none by default

* `plot_one_box()` default `color=(128, 128, 128)`

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

* Added max_det parameters in various places

* 120 character line

* PEP8

* 120 character line

* Update inference default to 1000 instances

* Update inference default to 1000 instances

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

* Allow to manual selection of device for torchhub models

* single line device

nested torch.device(torch.device(device)) ok

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

* rename class autoShape -> AutoShape

follow other class naming convention

* rename class autoShape -> AutoShape

follow other classes' naming convention

* rename class autoShape -> AutoShape

* Scope all hubconf.py imports for torch.hub.list()

* Update hubconf.py

* Update Colors()

* update colors

* update colors