Previous behavior: loading this repository with `torch.hub.load` clobbers the existing logging configuration by modifying the root logger's configuration.
New behavior: loading this repository with `torch.hub.load` only clobbers the logging configuration for logger `yolov5` and its descendants.
Signed-off-by: Ryan Echols <ryan@shadylakemedia.com>
Signed-off-by: Ryan Echols <ryan@shadylakemedia.com>
* Fix dataloader filepath modification to perform only once and not for all occurences of string
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* cleanup
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Remove box area function and support expandable bbox_iou() calls.
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Mapped project and name to ClearML
* Add project and task name docs
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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Update common.py
We have a division at line 694, and then a multiplication at line 695, so it makes `y*g` not an integer. And since `shape1` will be used at line 697 to ensure the size is divisible by the `stride`, this may lead to different image size.
In my experiment, my image is [640, 640], it's divisible by the default stride 32, but I found that the result is changed to [672, 672] after line 697. So the final detection result is slightly different from that directly using the `detect.py` script, which does not call the AutoShape methods.
Signed-off-by: janus-zheng <106574221+janus-zheng@users.noreply.github.com>
Signed-off-by: janus-zheng <106574221+janus-zheng@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
New 160-image MNIST subset composed of first 8 examples of each class. Suitable for fast CI.
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* AutoCache
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* AutoCache
* AutoCache
* AutoCache
* AutoCache
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* fix: switched from suffix checks to archive checks
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* Cleanup
seems like both functions accept Path type input so removing str()
* import always
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* added embedded meta data to tflite models
* added try block for inference
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* refactored tfite meta data into separate function
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* Creat tmp file in /tmp
* Update export.py
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* Update export.py
* Update export.py
* Update export.py
* Update export.py
* Update common.py
* Update export.py
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* Update common.py
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
* Update zipFile to context manager
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* Cleanup
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* Cleanup
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
* Allow PyTorch Hub results to display in notebooks
* fix CI
* fix CI
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* fix CI
* fix CI
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* fix CI
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* fix CI
* fix CI
* fix CI
* fix CI
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* fix CI
* fix CI
* fix CI
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If a parameter does not fall into any other category
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Ryan Echols
Amol Dumrewal
Glenn Jocher
Rubén Usamentiaga
Victor Sonck
janus-zheng
pre-commit-ci[bot]
Paul Guerrie
Kalen Michael
paradigm
SSTato