Add CI for windows

.github/workflows/build.yml

@@ -82,10 +82,10 @@ jobs:
         run: pip install torch==${{ matrix.torch }} torchvision==${{ matrix.torchvision }} -f https://download.pytorch.org/whl/torch_stable.html
       - name: Install MMCV
         run: |
-          pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/${{ matrix.mmcv_link }}/index.html --only-binary mmcv-full
+          pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/${{ matrix.mmcv_link }}/index.html --only-binary mmcv-full "opencv-python<=4.5.4.60"
           python -c 'import mmcv; print(mmcv.__version__)'
-      - name: Install FaceXLib
-        run: pip install facexlib
+      - name: Install FaceXLib (with opencv <= 4.5.4.60)
+        run: pip install facexlib "opencv-python<=4.5.4.60"
         if: ${{ matrix.torch != '1.5.1+cpu' && matrix.torch != '1.5.1+cu92' && matrix.torch != '1.6.0+cpu' }}
       - name: Install av
         run: python -m pip install av
@@ -98,7 +98,49 @@ jobs:
         run: rm -rf .eggs && pip install -e .
       - name: Run unittests and generate coverage report
         run: |
-          coverage run --branch --source mmedit -m pytest tests/
+          coverage run --branch --source mmedit -m pytest tests/ -sv
+          coverage xml
+          coverage report -m
+      - name: Upload coverage to Codecov
+        uses: codecov/codecov-action@v2
+        with:
+          file: ./coverage.xml
+          flags: unittests
+          env_vars: OS,PYTHON
+          name: codecov-umbrella
+          fail_ci_if_error: false
+  test_windows:
+    runs-on: ${{ matrix.os }}
+    strategy:
+      matrix:
+        os: [windows-2022]
+        python: [3.8]
+        platform: [cpu, cu111]
+    steps:
+      - uses: actions/checkout@v2
+      - name: Set up Python ${{ matrix.python }}
+        uses: actions/setup-python@v2
+        with:
+          python-version: ${{ matrix.python }}
+      - name: Upgrade pip
+        run: pip install pip --upgrade --user
+      - name: Install PyTorch
+        # As a complement to Linux CI, we test on PyTorch LTS version
+        run: pip install torch==1.8.2+${{ matrix.platform }} torchvision==0.9.2+${{ matrix.platform }} -f https://download.pytorch.org/whl/lts/1.8/torch_lts.html
+      - name: Install MMCV
+        run: pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cpu/torch1.8/index.html --only-binary mmcv-full
+      - name: Install FaceXLib (with opencv <= 4.5.4.60)
+        run: pip install facexlib "opencv-python<=4.5.4.60"
+      - name: Install unittest dependencies
+        run: pip install -r requirements.txt
+      - name: Show pip list
+        run: pip list
+      - name: Build and install
+        run: pip install -e .
+      - name: Run unittests
+        run: coverage run --branch --source mmedit -m pytest tests -sv
+      - name: Generate coverage report
+        run: |
           coverage xml
           coverage report -m
       - name: Upload coverage to Codecov

requirements/runtime.txt

@@ -1,6 +1,6 @@
 lmdb
 mmcv-full>=1.3.1
-opencv-python-headless<=4.5.4.60
+opencv-python<=4.5.4.60
 scikit-image
 tensorboard
 yapf