* Update loggers

* Config

* Update val.py

* cleanup

* fix1

* fix2

* fix3 and reformat

* format sweep.py

* Logger() class

* cleanup

* cleanup2

* wandb package import fix

* wandb package import fix2

* txt fix

* fix4

* fix5

* fix6

* drop wandb into utils/loggers

* fix 7

* rename loggers/wandb_logging to loggers/wandb

* Update message

* Update message

* Update message

* cleanup

* Fix x axis bug

* fix rank 0 issue

* cleanup

* Refactor train.py

* Update imports

* Update imports

* Update optimizer

* cleanup

* Addition refactor `export.py`

* Update export.py

* Refactor `export.py`

* cleanup

* Update check_requirements()

* Update export.py

* Module `super().__init__()`

* remove NMS

* val.py refactor

* cleanup

* cleanup

* cleanup

* cleanup

* save after eval

* opt.imgsz bug fix

* wandb refactor

* dataloader to train_loader

* capitalize global variables

* runs/hub/exp to runs/detect/exp

* refactor wandb logging

* Refactor wandb operations (#4061)
Co-authored-by: Ayush Chaurasia <ayush.chaurarsia@gmail.com>

* AutoShape PosixPath support

Usage example:

````python
from pathlib import Path

model = ...
file = Path('data/images/zidane.jpg')

results = model(file)
```

* Update common.py

* Update README.md

* Update README.md

* Update README.md

* Add `--sync-bn` known issue

* Update train.py

* Update greetings.yml

* Update greetings.yml

* Add support for W&B Sweeps

* Update and reformat

* Update search space

* reformat

* reformat sweep.py

* Update sweep.py

* Move sweeps files to wandb dir

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

* `Detections()` class `print()` overload

* Update common.py

* fix visualize error

* Revert "fix visualize error"

* add visualise profile

Evaluation of 'best' and 'last' models will use the same params as the evaluation during the training phase. 
This PR fixes https://github.com/ultralytics/yolov5/issues/3907

* Update `dataset_stats()` for zipped datasets

@KalenMike

* cleanup