* Security improvements
* Security improvements
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Failing on missing path, i.e. no 'www.'
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* update coco128-seg comments
* Enables detect.py to use Triton for inference
Triton Inference Server is an open source inference serving software
that streamlines AI inferencing.
https://github.com/triton-inference-server/server
The user can now provide a "--triton-url" argument to detect.py to use
a local or remote Triton server for inference.
For e.g., http://localhost:8000 will use http over port 8000
and grpc://localhost:8001 will use grpc over port 8001.
Note, it is not necessary to specify a weights file to use Triton.
A Triton container can be created by first exporting the Yolov5 model
to a Triton supported runtime. Onnx, Torchscript, TensorRT are
supported by both Triton and the export.py script.
The exported model can then be containerized via the OctoML CLI.
See https://github.com/octoml/octo-cli#getting-started for a guide.
* added triton client to requirements
* fixed support for TFSavedModels in Triton
* reverted change
* Test CoreML update
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* Update ci-testing.yml
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* Refacto DetectMultiBackend to directly accept triton url as --weights http://...
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* Deploy category
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* Update triton.py
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* Add printout and requirements check
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* triton fixes
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* fixed triton model query over grpc
* Update check_requirements('tritonclient[all]')
* group imports
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* Fix likely remote URL bug
* update comment
* Update is_url()
* Fix 2x download attempt on http://path/to/model.pt
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* Refactor for simplification
* cleanup
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* Single checkpoint resume
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* Add hyp
* FIX
* avoid resume on url data
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* Pin downloads to release version
Fixes a release version to avoid forward-compatibility issues in future releases.
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* Ability to dowlnoad older assets
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* Cleanup
* Cleanup2
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* 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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* precommit: yapf
* align isort
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# Conflicts:
# utils/plots.py
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Aarni Koskela
Glenn Jocher
Gaz Iqbal
Yannick Merkli
Cristi Fati
Powercube7
Jirka Borovec