downsize a sample image #15
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| # This workflow will install Python dependencies, run tests and lint with a single version of Python | |
| # For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python | |
| name: Python application | |
| on: | |
| push: | |
| branches: [ "main" ] | |
| pull_request: | |
| branches: [ "main" ] | |
| permissions: | |
| contents: read | |
| jobs: | |
| build: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - name: Set up Python 3.11 | |
| uses: actions/setup-python@v3 | |
| with: | |
| python-version: "3.11" | |
| - name: Install dependencies | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install git+https://github.com/developer0hye/onepose.git | |
| - name: Test Python | |
| run: | | |
| python -c " | |
| import cv2 | |
| import onepose | |
| import urllib | |
| import numpy as np | |
| import os | |
| os.makedirs('ci_artifacts', exist_ok=True) | |
| req = urllib.request.urlopen('https://raw.githubusercontent.com/developer0hye/onepose/main/onepose/assets/sample.png') | |
| arr = np.asarray(bytearray(req.read()), dtype=np.uint8) | |
| for model_name in onepose.list_models(): | |
| model = onepose.create_model(model_name) | |
| img = cv2.imdecode(arr, cv2.IMREAD_COLOR) # 'Load it as it is' | |
| keypoints = model(img) | |
| num_keypoints = len(keypoints['points']) | |
| pts = keypoints['points'] | |
| pts_confidence = keypoints['confidence'] | |
| for i in range(num_keypoints): | |
| print(f'Point {i} {model.keypoint_info[i]} (x, y) : {pts[i]} confidence: {pts_confidence[i]}') | |
| onepose.visualize_keypoints(img, keypoints, model.keypoint_info, model.skeleton_info) | |
| cv2.imwrite(f'ci_artifacts/sample_{model_name}_output.png', img) | |
| " | |
| - name: upload artifacts | |
| uses: actions/upload-artifact@v3 | |
| with: | |
| name: outputs | |
| path: ci_artifacts | |
| retention-days: 1 |