* fix: disable usage of root logger

`logging.basicConfig` configures Python's root logger. This prohibits
fine control of logging, overwrites logging configuration done outside
the package, and is not best practice. Instead, the used logger is now
configured directly, and the root logger is untouched.

Example:
    If yolov5 is used as part of another project with some sophisticated
    logging, the internal `logging.basicConfig` call overwrites all the
    external configuration.

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* Update general.py

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* Comment kaggle

* Uncomment kaggle

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* precommit: yapf

* align isort

* fix

# Conflicts:
#	utils/plots.py

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* Update setup.cfg

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* Update wandb_utils.py

* Update augmentations.py

* Update setup.cfg

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* Update val.py

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* simplify colorstr

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* val run fix

* export.py last comma

* Update export.py

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* Update hubconf.py

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* PyTorch Hub tuple fix

* PyTorch Hub tuple fix2

* PyTorch Hub tuple fix3

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* Update detect.py

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* Update general.py

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* Fix imwrite on non-ASCII paths

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* Update general.py

* Update __init__.py

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* Update plots for Chinese fonts

* make is_chinese() non-str safe

* Add global FONT

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* Check TensorRT>=8.0.0 version

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* Remove NCOLS from tqdm

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* Update tqdm for fixed width

* Update val.py

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* Try ncols= in train.py

* NCOLS

* NCOLS

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* bar_format

* position 0 leave true

* exp0

* auto

* auto

* Cleanup

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* New `DetectMultiBackend()` class

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* pb to pt fix

* Cleanup

* explicit apply_classifier path

* Cleanup2

* Cleanup3

* Cleanup4

* Cleanup5

* Cleanup6

* val.py MultiBackend inference

* warmup fix

* to device fix

* pt fix

* device fix

* Val cleanup

* COCO128 URL to assets

* half fix

* detect fix

* detect fix 2

* remove half from DetectMultiBackend

* training half handling

* training half handling 2

* training half handling 3

* Cleanup

* Fix CI error

* Add torchscript _extra_files

* Add TorchScript

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* CoreML cleanup

* New `DetectMultiBackend()` class

* pb to pt fix

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* Cleanup

* explicit apply_classifier path

* Cleanup2

* Cleanup3

* Cleanup4

* Cleanup5

* Cleanup6

* val.py MultiBackend inference

* warmup fix

* to device fix

* pt fix

* device fix

* Val cleanup

* COCO128 URL to assets

* half fix

* detect fix

* detect fix 2

* remove half from DetectMultiBackend

* training half handling

* training half handling 2

* training half handling 3

* Cleanup

* Fix CI error

* Add torchscript _extra_files

* Add TorchScript

* Add CoreML

* CoreML cleanup

* revert default to pt

* Add Usage examples

* Cleanup val

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* Logger consolidation

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* Fix `save_one_box()`

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Resolves https://github.com/ultralytics/yolov5/pull/5341#issuecomment-961774729

Tests:
```python
import glob
import re
from pathlib import Path


def increment_path(path, exist_ok=False, sep='', mkdir=False):
    # Increment file or directory path, i.e. runs/exp --> runs/exp{sep}2, runs/exp{sep}3, ... etc.
    path = Path(path)  # os-agnostic
    if path.exists() and not exist_ok:
        path, suffix = (path.with_suffix(''), path.suffix) if path.is_file() else (path, '')
        dirs = glob.glob(f"{path}{sep}*")  # similar paths
        matches = [re.search(rf"%s{sep}(\d+)" % path.stem, d) for d in dirs]
        i = [int(m.groups()[0]) for m in matches if m]  # indices
        n = max(i) + 1 if i else 2  # increment number
        path = Path(f"{path}{sep}{n}{suffix}")  # increment path
    if mkdir:
        path.mkdir(parents=True, exist_ok=True)  # make directory
    return path


print(increment_path('runs'))
print(increment_path('export.py'))
print(increment_path('abc.def.dir'))
print(increment_path('abc.def.file'))
```

Fix for https://github.com/ultralytics/yolov5/issues/5503
```
python detect.py --visualize --source path/to/file.suffix1.jpg
```