* Update Colab Notebook CI
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* Created using Colaboratory
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* Dynamic batch size support for TensorRT
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* Fix optimization profile when batch size is 1
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* More descriptive assertion error
* Fix syntax
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* pre-commit formatting sucked
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* Update export.py
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Checking if ``/workspace`` exists is not a reliable method to check if
the process runs in a docker container.
Reusing the logic from the npm "is-docker" package to check if the
process runs in a container.
References: https://github.com/sindresorhus/is-docker/blob/main/index.jsFixes#8710.
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* Fix BGR->RGB Bug in albumentations https://github.com/ultralytics/yolov5/issues/8641
* Change transform methode from cv2 to numpy
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* Simplify
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* New `HUBDatasetStats()` class
Usage examples:
```
from utils.dataloaders import *
stats = HUBDatasetStats('coco128.yaml', autodownload=True) # method 1
stats = HUBDatasetStats('path/to/coco128_with_yaml.zip') # method 1
stats.get_json(save=False)
stats.process_images()
```
@kalenmike
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* Update dataloaders.py
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* assert torch!=1.12.0 for DDP training
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* Refactor optimizer initialization
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* explicitly set weight_decay value
The default weight_decay value of AdamW is 1e-2, so we should set it to zero.
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* Cleanup
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* Add `--hard-fail` list argument to benchmarks for CI
Will cause CI to fail on a benchmark failure for given indices.
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* Attempt Failure (CI should fail)
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