[fix]update workflow

Author: litxaohu

.github/workflows/docker-build.yml

@@ -2,7 +2,7 @@ name: Build reComputer-RK-CV Images (Multi-Platform)
 
 on:
   push:
-    branches: [main, master]
+    branches: [main, master, debug]
     paths:
       - 'src/rk3588/**'
       - 'src/rk3576/**'
@@ -56,10 +56,24 @@ jobs:
       - name: Prepare Image Name
         if: steps.check_changes.outputs.build == 'true'
         run: |
-          # Use reComputer-RK-CV as the base repo name if renamed, otherwise use repo name
+          # 默认基础名称
           REPO_NAME=$(echo "${{ github.repository }}" | tr '[:upper:]' '[:lower:]')
-          IMAGE_NAME="${{ matrix.platform }}-yolo"
-          echo "GHCR_IMAGE=ghcr.io/${REPO_NAME}/${IMAGE_NAME}" >> $GITHUB_ENV
+          IMAGE_BASE="${{ matrix.platform }}-yolo"
+          
+          # 处理 rk3576 的特殊命名要求 (rk35756)
+          if [[ "${{ matrix.platform }}" == "rk3576" ]]; then
+            IMAGE_BASE="rk35756-yolo"
+          fi
+
+          # 根据分支判断镜像路径
+          if [[ "${{ github.ref_name }}" == "debug" ]]; then
+            # debug 分支特定命名: recomputer-rk-cv/debug/...
+            GHCR_IMAGE="ghcr.io/recomputer-rk-cv/debug/${IMAGE_BASE}"
+          else
+            GHCR_IMAGE="ghcr.io/${REPO_NAME}/${IMAGE_BASE}"
+          fi
+          
+          echo "GHCR_IMAGE=${GHCR_IMAGE}" >> $GITHUB_ENV
           
           TAG="latest"
           if [[ "${{ github.event_name }}" == "workflow_dispatch" ]]; then

src/rk3588/web_detection.py

@@ -211,12 +211,23 @@ async def list_videos():
 @app.post("/api/video/analyze")
 async def analyze_video(filename: str = Form(...)):
     input_path = os.path.join(UPLOAD_DIR, filename)
-    output_filename = f"analyzed_{filename}"
-    output_path = os.path.join(OUTPUT_DIR, output_filename)
-    
     if not os.path.exists(input_path):
         raise HTTPException(status_code=404, detail="Video not found")
 
+    # 获取视频分辨率以生成文件名
+    cap = cv2.VideoCapture(input_path)
+    if not cap.isOpened():
+        raise HTTPException(status_code=400, detail="Cannot open video file")
+    
+    width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
+    height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
+    cap.release()
+    
+    # 格式化输出文件名：原名_宽x高_results.mp4
+    name_base = os.path.splitext(filename)[0]
+    output_filename = f"{name_base}_{width}x{height}_results.mp4"
+    output_path = os.path.join(OUTPUT_DIR, output_filename)
+    
     success = video_analyzer.start_analysis(input_path, output_path)
     if success:
         return {"status": "started", "output": output_filename}