fix module not found #561
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name: ci testing | |
on: | |
push: | |
branches: [main] | |
pull_request: | |
branches: [main] | |
jobs: | |
build: | |
runs-on: ubuntu-latest | |
strategy: | |
matrix: | |
operating-system: [ubuntu-latest, windows-latest, macos-latest] | |
python-version: [3.8, 3.9, "3.10", "3.11"] | |
fail-fast: false | |
steps: | |
- name: Checkout | |
uses: actions/checkout@v3 | |
- name: Set up Python | |
uses: actions/setup-python@v4 | |
with: | |
python-version: ${{ matrix.python-version }} | |
- name: Update pip | |
run: python -m pip install --upgrade pip | |
- name: Get pip cache dir | |
id: pip-cache | |
run: | | |
echo "dir=$(pip cache dir)" >> $GITHUB_OUTPUT | |
- name: Restore pip cache | |
uses: actions/cache@v3 | |
with: | |
path: ${{ steps.pip-cache.outputs.dir }} | |
key: ${{ matrix.os }}-${{ matrix.python-version }}-${{ hashFiles('**/setup.py') }} | |
restore-keys: ${{ matrix.os }}-${{ matrix.python-version }}- | |
- name: Install dependencies | |
run: > | |
pip install -r requirements.txt | |
- name: Test with unittest | |
run: | | |
python -m unittest | |
- name: Test yolov5 train | |
shell: bash # for Windows compatibility | |
run: | | |
pip install -e . | |
# donwload coco formatted testing data | |
python tests/download_test_coco_dataset.py | |
# train (dl base model from hf hub) | |
yolov5 train --data tests/data/coco_data.yaml --img 128 --batch 16 --weights fcakyon/yolov5n-v7.0 --epochs 1 --device cpu --freeze 10 | |
python yolov5/train.py --img 128 --batch 16 --weights fcakyon/yolov5n-v7.0 --epochs 1 --device cpu | |
yolov5 train --img 128 --batch 16 --weights fcakyon/yolov5n-v7.0 --epochs 1 --device cpu --freeze 10 | |
yolov5 train --img 128 --batch 16 --weights fcakyon/yolov5n-v7.0 --epochs 1 --device cpu --evolve 2 | |
# train | |
yolov5 train --data tests/data/coco_data.yaml --img 128 --batch 16 --weights yolov5/weights/yolov5n.pt --epochs 1 --device cpu --freeze 10 | |
python yolov5/train.py --img 128 --batch 16 --weights yolov5/weights/yolov5n.pt --epochs 1 --device cpu | |
yolov5 train --img 128 --batch 16 --weights yolov5/weights/yolov5n.pt --epochs 1 --device cpu --freeze 10 | |
yolov5 train --img 128 --batch 16 --weights yolov5/weights/yolov5n.pt --epochs 1 --device cpu --evolve 2 | |
- name: Test yolov5 detect | |
shell: bash # for Windows compatibility | |
run: | | |
python yolov5/detect.py --weights yolov5/weights/yolov5n.pt --device cpu | |
yolov5 detect --weights yolov5/weights/yolov5n.pt --device cpu | |
python yolov5/detect.py --weights runs/train/exp/weights/last.pt --device cpu | |
yolov5 detect --weights runs/train/exp/weights/last.pt --device cpu | |
- name: Test yolov5 val | |
shell: bash # for Windows compatibility | |
run: | | |
python yolov5/val.py --img 128 --batch 16 --weights yolov5/weights/yolov5n.pt --device cpu | |
yolov5 val --data yolov5/data/coco128.yaml --img 128 --batch 16 --weights yolov5/weights/yolov5n.pt --device cpu | |
python yolov5/val.py --img 128 --batch 16 --weights runs/train/exp/weights/last.pt --device cpu | |
yolov5 val --data yolov5/data/coco128.yaml --img 128 --batch 16 --weights runs/train/exp/weights/last.pt --device cpu | |
- name: Test yolov5 export | |
shell: bash # for Windows compatibility | |
run: | | |
pip install onnx onnx-simplifier tensorflowjs | |
python yolov5/export.py --weights yolov5/weights/yolov5n.pt --device cpu --include torchscript,onnx,tflite | |
yolov5 export --weights yolov5/weights/yolov5n.pt --device cpu --simplify --include torchscript,onnx,saved_model,pb,tfjs | |
- name: Test yolov5 benchmarks | |
shell: bash # for Windows compatibility | |
run: | | |
yolov5 benchmarks --weights yolov5n.pt --img 128 --pt-only --device cpu | |
- name: Test yolov5 classify | |
shell: bash # for Windows compatibility | |
run: | | |
yolov5 classify train --img 128 --data mnist2560 --model yolov5n-cls.pt --epochs 1 --device cpu | |
yolov5 classify train --img 128 --data mnist2560 --model fcakyon/yolov5n-cls-v7.0 --epochs 1 --device cpu | |
yolov5 classify val --img 128 --data datasets/mnist2560 --weights yolov5n-cls.pt --device cpu | |
yolov5 classify predict --img 128 --weights yolov5n-cls.pt --device cpu | |
- name: Test yolov5 segment | |
shell: bash # for Windows compatibility | |
run: | | |
yolov5 segment train --img 128 --weights yolov5n-seg.pt --epochs 1 --device cpu | |
yolov5 segment train --img 128 --weights fcakyon/yolov5n-seg-v7.0 --epochs 1 --device cpu | |
# yolov5 segment val --img 128 --weights yolov5n-seg.pt --device cpu | |
yolov5 segment predict --img 128 --weights yolov5n-seg.pt --device cpu | |
- name: Test roboflow train | |
shell: bash # for Windows compatibility | |
env: | |
ROBOFLOW_TOKEN: ${{ secrets.ROBOFLOW_API_KEY }} | |
run: | | |
yolov5 train --data https://universe.roboflow.com/gdit/aerial-airport/dataset/1 --weights yolov5/weights/yolov5n.pt --img 128 --epochs 1 --device cpu --roboflow_token ${{ env.ROBOFLOW_TOKEN }} | |
# yolov5 classify train --data https://universe.roboflow.com/carlos-gabriel-da-silva-machado-siwvs/turtles-i1tlr/dataset/1 --img 128 --model yolov5n-cls.pt --epochs 1 --device cpu --roboflow_token ${{ env.ROBOFLOW_TOKEN }} | |
yolov5 segment train --data https://universe.roboflow.com/aymane-outani-auooc/cable-fzjik/dataset/2 --img 128 --weights yolov5n-seg.pt --epochs 1 --device cpu --roboflow_token ${{ env.ROBOFLOW_TOKEN }} | |