* Add `@threaded` decorator

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* add random_interpolation option to make model robust to interpolation methods

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@sergiossm

* Pin downloads to release version

Fixes a release version to avoid forward-compatibility issues in future releases.

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* FROM nvcr.io/nvidia/pytorch:22.04-py3

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fix bug in issue #7650

Improved robustness to filename edge cases like `data/images/zidane.23.jpg` that currently fail. May resolve https://github.com/ultralytics/yolov5/issues/7432

* PyTorch Hub `_verbose=False` fix2

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* Add redundant weights download mirrors

This PR seeks to improve access worldwide to YOLOv5 weights. Universal access to AI for all is our core value, and we are against any censorship or restriction efforts.

I've uploaded the official YOLOv5 v6.1 weights to a primary backup bucket on GCP and to secondary backup on Google Drive at https://drive.google.com/drive/folders/1EFQTEUeXWSFww0luse2jB9M1QNZQGwNl. Autodownload with try the first two locations (GitHuB release assets and GCP bucket), and point users to the Google Drive folder if the first two fail.

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* support nomedia

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* Update train.py

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Follows https://github.com/ultralytics/yolov5/pull/7488. Correct bug where fonts were downloading to current working directory rather than global CONFIG_DIR

* Improved non-latin labels Annotator plotting

May resolve https://github.com/ultralytics/yolov5/issues/7460

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* Print dataset scan only `if RANK in (-1, 0)`

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* Simplify callbacks.py return

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* 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:
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    logging, the internal `logging.basicConfig` call overwrites all the
    external configuration.

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* Update restapi.py

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