* New TensorFlow `TFDWConv()` module
Analog to DWConv() module:
8aa2085a7e/models/common.py (L53-L57)
* Fix and new activations() function
* Update tf.py
* Add `@threaded` decorator
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* Implement DDP `static_graph=True`
Experimental implementation of new PyTorch 1.11.0 DDP feature.
* Add 1.11.0 check
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* Pin downloads to release version
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* Ability to dowlnoad older assets
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* Cleanup
* Cleanup2
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* Update tutorial.ipynb
* Created using Colaboratory
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* FROM nvcr.io/nvidia/pytorch:22.04-py3
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* disallow dynamic arg when half is given
* Update export.py
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* PyTorch Hub `_verbose=False` fix2
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* Update restapi.py
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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
* support nomedia for validation
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* Update train.py
* Revert no plot evolve
evolve plots do not contain any images
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contains no media
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* sync-bn cleanup
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* Rename nomedia -> noplots
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* Autoinstall TensorRT if missing
May resolve https://github.com/ultralytics/yolov5/issues/7464
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dependabot[bot]
Glenn Jocher
Yonghye Kwon
Cristi Fati
David Matos
SylvanDing
Duncan Moss
Jack Liu
Ayush Chaurasia
Powercube7
Zengyf-CVer