发布docker镜像

.github/workflows/build-docker.yml

@@ -0,0 +1,87 @@
+name: Docker Build and Push
+
+on:
+  push:
+    branches:
+      - '**'
+  workflow_dispatch:
+
+jobs:
+  build-and-push:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        include:
+          - type: cuda
+            version: "11.8"
+          - type: cuda
+            version: "12.6"
+          - type: cuda
+            version: "12.8"
+          - type: directml
+            version: "latest"
+
+    steps:
+    
+      - name: Show system
+        run: |
+          echo -e "Total CPU cores\t: $(nproc)"
+          cat /proc/cpuinfo | grep 'model name'
+          ulimit -a
+
+      - name: Maximize build space
+        uses: easimon/maximize-build-space@master
+        with:
+          swap-size-mb: 512
+          temp-reserve-mb: 1024
+          root-reserve-mb: 2048
+          remove-dotnet: 'true'
+          remove-android: 'true'
+          remove-haskell: 'true'
+          remove-codeql: 'true'
+          
+      - name: 检出代码
+        uses: actions/checkout@v4
+
+      - name: 读取 VERSION
+        id: version
+        run: |
+          VERSION=$(sed -n 's/^VERSION = "\(.*\)"/\1/p' backend/config.py)
+          echo "VERSION=$VERSION" >> $GITHUB_ENV
+          echo "VERSION=$VERSION" >> $GITHUB_OUTPUT
+        shell: bash
+
+      - name: 设置 Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: 登录到 Docker Hub
+        uses: docker/login-action@v3
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+
+      - name: 提取元数据
+        id: meta
+        uses: docker/metadata-action@v4
+        with:
+          images: eritpchy/video-subtitle-remover
+          tags: |
+            type=raw,value=${{ env.VERSION }}-${{ matrix.type }}${{ matrix.type == 'cuda' && matrix.version || '' }}
+
+      - name: 构建并推送
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          file: ./docker/Dockerfile
+          push: ${{ github.event_name != 'pull_request' }}
+          tags: ${{ steps.meta.outputs.tags }}
+          build-args: |
+            ${{ matrix.type == 'cuda' && format('CUDA_VERSION={0}', matrix.version) || '' }}
+            ${{ matrix.type == 'directml' && 'USE_DIRECTML=1' || '' }}
+
+      - name: Docker Hub Description
+        uses: peter-evans/dockerhub-description@v4
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+          repository: eritpchy/video-subtitle-remover

README.md

@@ -31,6 +31,21 @@ Windows GPU版本v1.1.0（GPU）：
 
 > 仅供具有Nvidia显卡的用户使用(AMD的显卡不行)
 
+**Docker版本：**
+```shell
+  # Nvidia 10 20 30系显卡
+  docker run -it --rm --gpus all eritpchy/video-subtitle-remover:1.1.1-cuda11.8 
+
+  # Nvidia 40系显卡
+  docker run -it --rm --gpus all eritpchy/video-subtitle-remover:1.1.1-cuda12.6 
+
+  # Nvidia 50系显卡
+  docker run -it --rm --gpus all eritpchy/video-subtitle-remover:1.1.1-cuda12.8 
+
+  # AMD / Intel 独显 集显
+  docker run -it --rm --gpus all eritpchy/video-subtitle-remover:1.1.1-directml 
+```
+
 ## 演示
 
 - GUI版：

docker/Dockerfile

@@ -0,0 +1,30 @@
+FROM python:3.12
+
+RUN --mount=type=cache,target=/root/.cache,sharing=private \
+    apt update && \
+    apt install -y libgl1-mesa-glx && \
+    true
+
+ADD . /vsr
+ARG CUDA_VERSION=11.8
+ARG USE_DIRECTML=0
+
+# 如果是 CUDA 版本，执行 CUDA 特定设置
+RUN --mount=type=cache,target=/root/.cache,sharing=private \
+    if [ "${USE_DIRECTML:-0}" != "1" ]; then \
+        pip install paddlepaddle==3.0 && \
+        pip install torch==2.7.0 torchvision==0.22.0 --index-url https://download.pytorch.org/whl/cu$(echo ${CUDA_VERSION} | tr -d '.') && \
+        pip install -r /vsr/requirements.txt; \
+    fi
+
+# 如果是 DirectML 版本，执行 DirectML 特定设置
+RUN --mount=type=cache,target=/root/.cache,sharing=private \
+    if [ "${USE_DIRECTML:-0}" = "1" ]; then \
+        pip install paddlepaddle==3.0 && \
+        pip install torch_directml==0.2.5.dev240914 && \
+        pip install -r /vsr/requirements.txt; \
+    fi
+
+ENV LD_LIBRARY_PATH=/usr/local/lib/python3.12/site-packages/nvidia/cudnn/lib/
+WORKDIR /vsr
+CMD ["python", "/vsr/backend/main.py"]