Update workflows (#6427)
* Workflow updates * quotes fix * best to weights fix
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@@ -23,7 +23,7 @@ jobs:
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model: [ 'yolov5n' ] # models to test
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# Timeout: https://stackoverflow.com/a/59076067/4521646
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timeout-minutes: 50
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timeout-minutes: 60
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python ${{ matrix.python-version }}
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@@ -60,35 +60,34 @@ jobs:
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# - name: W&B login
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# run: wandb login 345011b3fb26dc8337fd9b20e53857c1d403f2aa
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- name: Download data
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run: |
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# curl -L -o tmp.zip https://github.com/ultralytics/yolov5/releases/download/v1.0/coco128.zip
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# unzip -q tmp.zip -d ../
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# rm tmp.zip
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# - name: Download data
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# run: |
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# curl -L -o tmp.zip https://github.com/ultralytics/yolov5/releases/download/v1.0/coco128.zip
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# unzip -q tmp.zip -d ../datasets
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- name: Tests workflow
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run: |
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# export PYTHONPATH="$PWD" # to run '$ python *.py' files in subdirectories
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di=cpu # device
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d=cpu # device
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weights=runs/train/exp/weights/best.pt
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# Train
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python train.py --img 64 --batch 32 --weights ${{ matrix.model }}.pt --cfg ${{ matrix.model }}.yaml --epochs 1 --device $di
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python train.py --img 64 --batch 32 --weights ${{ matrix.model }}.pt --cfg ${{ matrix.model }}.yaml --epochs 1 --device $d
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# Val
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python val.py --img 64 --batch 32 --weights ${{ matrix.model }}.pt --device $di
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python val.py --img 64 --batch 32 --weights runs/train/exp/weights/last.pt --device $di
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python val.py --img 64 --batch 32 --weights ${{ matrix.model }}.pt --device $d
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python val.py --img 64 --batch 32 --weights $weights --device $d
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# Detect
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python detect.py --weights ${{ matrix.model }}.pt --device $di
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python detect.py --weights runs/train/exp/weights/last.pt --device $di
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python detect.py --weights ${{ matrix.model }}.pt --device $d
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python detect.py --weights $weights --device $d
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python hubconf.py # hub
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# Export
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python models/yolo.py --cfg ${{ matrix.model }}.yaml # build PyTorch model
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python models/tf.py --weights ${{ matrix.model }}.pt # build TensorFlow model
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python export.py --img 64 --batch 1 --weights ${{ matrix.model }}.pt --include torchscript onnx # export
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python export.py --weights ${{ matrix.model }}.pt --img 64 --include torchscript onnx # export
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# Python
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python - <<EOF
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import torch
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# Known issue, urllib.error.HTTPError: HTTP Error 403: rate limit exceeded, will be resolved in torch==1.10.0
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# model = torch.hub.load('ultralytics/yolov5', 'custom', path='runs/train/exp/weights/last.pt')
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# model = torch.hub.load('ultralytics/yolov5', 'custom', path=$weights)
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EOF
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shell: bash
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