* fixed inference bug ,while use half precision

* replace --use-half with --half

* replace space and PEP8 in detect.py

* PEP8 detect.py

* update --half help comment

* Update test.py

* revert space

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

* Add output names & dynamic axes for onnx export

Add output_names and dynamic_axes names for all outputs in torch.onnx.export. The first four outputs of the model will have names output0, output1, output2, output3

* use first output only + cleanup

Co-authored-by: Samridha Shrestha <samridha.shrestha@g42.ai>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

Improve robustness of `check_requirements()` function to offline environments (do not attempt pip installs when offline).

remove datatype conversion process that can be skipped

* Add `timeout()` class

* rearrange order

* Suppress jit trace warning + graph once

Suppress harmless jit trace warning on TensorBoard add_graph call. Also fix multiple add_graph() calls bug, now only on batch 0.

* Update train.py

* Parse URL authentication

* urllib.parse.unquote()

* improved error handling

* improved error handling

* remove %3F

* update check_file()

* Update README.md

* Changing FLOPS to FLOPs.

Co-authored-by: BuildTools <unconfigured@null.spigotmc.org>

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