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* Add docker info for ClearML remote execution
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* Mapped project and name to ClearML
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* Update __init__.py
In the Comet logger, when I run train.py, it wants to download the data artifact. It was requiring me to format the 'names' field in the data artifact metadata as a dictionary, so I've changed this so that it also accepts a list.
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* disabled upload_dataset flag temporarily due to an artifact related bug
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* Optimize imports
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* Make sure best.pt model file is preserved ClearML
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* update
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* ClearML's set_report_period's time is defined in minutes not seconds.
https://clear.ml/docs/latest/docs/references/sdk/hpo_optimization_hyperparameteroptimizer/#set_report_period
set_report_period function takes in time in terms of minutes, not seconds.
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* Fix confidence threshold
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* Revert "Fix confidence threshold"
This reverts commit f84a09967f.
* Fix confidence comparison
Fix the confidence percentage is being compared to a decimal value.
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* smart project name inference
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* Replace torchvision annotator with native local Annotator
* Add colored bounding boxes and rewrite for efficiency
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* Fix pep8 issue
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* Reduced conf_threshold to 0.25 to match defaults
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* Add `@threaded` decorator
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* support nomedia
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* add version warning
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* Copy wandb param dict before training to avoid overwrites.
Copy the hyperparameter dict retrieved from wandb configuration before passing it to `train()`. Training overwrites parameters in the dictionary (eg scaling obj/box/cls gains), which causes the values reported in wandb to not match the input values. This is confusing as it makes it hard to reproduce a run, and also throws off wandb's Bayesian sweep algorithm.
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* precommit: yapf
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# Conflicts:
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Michael Sutton
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