* Update Requirements with PyTorch CUDA
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* Update requirements.txt
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* update coco128-seg comments
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Triton Inference Server is an open source inference serving software
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https://github.com/triton-inference-server/server
The user can now provide a "--triton-url" argument to detect.py to use
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For e.g., http://localhost:8000 will use http over port 8000
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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
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* import re
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* Segmentation `polygons2masks_overlap()` in `np.int32`
May resolve https://github.com/ultralytics/yolov5/issues/9461
WARNING: Masks should be uint8 for fastest speed, change needs profiling results to determine impact.
@AyushExel @Laughing-q
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* Update dataloaders.py
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Update ClassificationModel default training imgsz=224
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Helps https://github.com/ultralytics/yolov5/issues/9462
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* Detect() and Segment() fixes for CoreML and Paddle
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David A. Macey
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mucunwuxian
Junjie Zhang
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