Package Testing #1366
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| name: Package Testing | |
| on: | |
| schedule: | |
| - cron: '0 0 * * *' # Runs at 00:00 UTC every day | |
| jobs: | |
| build: | |
| runs-on: ubuntu-latest | |
| strategy: | |
| matrix: | |
| operating-system: [ubuntu-latest, windows-latest, macos-latest] | |
| python-version: [3.8, 3.9, '3.10'] | |
| fail-fast: false | |
| steps: | |
| - name: Checkout | |
| uses: actions/checkout@v4 | |
| - name: Set up Python | |
| uses: actions/setup-python@v5 | |
| with: | |
| python-version: ${{ matrix.python-version }} | |
| - name: Restore Ubuntu cache | |
| uses: actions/cache@v4 | |
| if: matrix.operating-system == 'ubuntu-latest' | |
| with: | |
| path: ~/.cache/pip | |
| key: ${{ matrix.os }}-${{ matrix.python-version }}-${{ hashFiles('**/setup.py')}} | |
| restore-keys: ${{ matrix.os }}-${{ matrix.python-version }}- | |
| - name: Restore MacOS cache | |
| uses: actions/cache@v4 | |
| if: matrix.operating-system == 'macos-latest' | |
| with: | |
| path: ~/Library/Caches/pip | |
| key: ${{ matrix.os }}-${{ matrix.python-version }}-${{ hashFiles('**/setup.py')}} | |
| restore-keys: ${{ matrix.os }}-${{ matrix.python-version }}- | |
| - name: Restore Windows cache | |
| uses: actions/cache@v4 | |
| if: matrix.operating-system == 'windows-latest' | |
| with: | |
| path: ~\AppData\Local\pip\Cache | |
| key: ${{ matrix.os }}-${{ matrix.python-version }}-${{ hashFiles('**/setup.py')}} | |
| restore-keys: ${{ matrix.os }}-${{ matrix.python-version }}- | |
| - name: Update pip | |
| run: python -m pip install --upgrade pip | |
| - name: Install PyTorch(1.10.2) and TorchVision(0.11.3) on Linux and Windows | |
| if: > | |
| matrix.operating-system == 'ubuntu-latest' || | |
| matrix.operating-system == 'windows-latest' | |
| run: > | |
| pip install torch==1.13.1+cpu torchvision==0.14.1+cpu | |
| -f https://download.pytorch.org/whl/torch_stable.html | |
| - name: Install PyTorch on MacOS | |
| if: matrix.operating-system == 'macos-latest' | |
| run: pip install torch==1.13.1 torchvision==0.14.1 | |
| - name: Install MMDetection(3.0.0) with MMCV(2.0.0) | |
| run: | | |
| pip install mmengine==0.7.3 | |
| pip install mmcv==2.0.0 -f https://download.openmmlab.com/mmcv/dist/cpu/torch1.13.0/index.html | |
| pip install mmdet==3.0.0 | |
| - name: Install YOLOv5(7.0.13) | |
| run: > | |
| pip install yolov5==7.0.13 | |
| - name: Install DeepSparse | |
| run: > | |
| pip install deepsparse | |
| - name: Install Transformers(4.35.0) | |
| run: > | |
| pip install transformers==4.35.0 | |
| - name: Install pycocotools(2.0.7) | |
| run: > | |
| pip install pycocotools==2.0.7 | |
| - name: Install ultralytics(8.0.207) | |
| run: > | |
| pip install ultralytics==8.0.207 | |
| - name: Install super-gradients(3.3.1) | |
| run: > | |
| pip install super-gradients==3.3.1 | |
| - name: Install latest SAHI package | |
| run: > | |
| pip install --upgrade --force-reinstall sahi | |
| - name: Unittest for SAHI+YOLOV5/MMDET/Detectron2 on all platforms | |
| run: | | |
| python -m unittest | |
| - name: Test SAHI CLI | |
| run: | | |
| # help | |
| sahi --help | |
| # predict mmdet | |
| sahi predict --source tests/data/ --novisual --model_path tests/data/models/mmdet/yolox/yolox_tiny_8x8_300e_coco_20211124_171234-b4047906.pth --model_config_path tests/data/models/mmdet/yolox/yolox_tiny_8xb8-300e_coco.py --image_size 320 | |
| sahi predict --source tests/data/coco_utils/terrain1.jpg --export_pickle --export_crop --model_path tests/data/models/mmdet/yolox/yolox_tiny_8x8_300e_coco_20211124_171234-b4047906.pth --model_config_path tests/data/models/mmdet/yolox/yolox_tiny_8xb8-300e_coco.py --image_size 320 | |
| sahi predict --source tests/data/coco_utils/ --novisual --dataset_json_path tests/data/coco_utils/combined_coco.json --model_path tests/data/models/mmdet/yolox/yolox_tiny_8x8_300e_coco_20211124_171234-b4047906.pth --model_config_path tests/data/models/mmdet/yolox/yolox_tiny_8xb8-300e_coco.py --image_size 320 | |
| # predict yolov5 | |
| sahi predict --no_sliced_prediction --model_type yolov5 --source tests/data/coco_utils/terrain1.jpg --novisual --model_path tests/data/models/yolov5/yolov5s6.pt --image_size 320 | |
| sahi predict --model_type yolov5 --source tests/data/ --novisual --model_path tests/data/models/yolov5/yolov5s6.pt --image_size 320 | |
| sahi predict --model_type yolov5 --source tests/data/coco_utils/terrain1.jpg --export_pickle --export_crop --model_path tests/data/models/yolov5/yolov5s6.pt --image_size 320 | |
| sahi predict --model_type yolov5 --source tests/data/coco_utils/ --novisual --dataset_json_path tests/data/coco_utils/combined_coco.json --model_path tests/data/models/yolov5/yolov5s6.pt --image_size 320 | |
| # coco yolov5 | |
| sahi coco yolov5 --image_dir tests/data/coco_utils/ --dataset_json_path tests/data/coco_utils/combined_coco.json --train_split 0.9 | |
| # coco evaluate | |
| sahi coco evaluate --dataset_json_path tests/data/coco_evaluate/dataset.json --result_json_path tests/data/coco_evaluate/result.json | |
| # coco analyse | |
| sahi coco analyse --dataset_json_path tests/data/coco_evaluate/dataset.json --result_json_path tests/data/coco_evaluate/result.json --out_dir tests/data/coco_evaluate/ |