clean up of features

backend/services/background_removal.py

@@ -175,30 +175,40 @@ def _remove_with_mediapipe(
         raise RuntimeError(f"MediaPipe background removal failed: {e}")
 
 
+
 def _remove_with_ffmpeg_portrait(
     input_path: str,
     output_path: str,
     replacement: str = "blur",
     replacement_value: str = "",
 ) -> str:
-    """Fallback: use FFmpeg's colorkey + chromakey for basic background removal.
+    """Fallback: basic FFmpeg-only background blur.
 
-    This is a crude approximation. For best results, install mediapipe + opencv-python.
+    Uses a strong gaussian blur as a crude background replacement.
+    For proper person segmentation (color/image replacement), install:
+      pip install mediapipe opencv-python
     """
     ffmpeg = "ffmpeg"
 
-    # Use a simple chromakey-based approach with a neutral background
-    # This won't work well for most real videos but provides a fallback
-    if replacement == "color":
+    if replacement == "blur":
+        filter_complex = "gblur=sigma=30"
+    elif replacement == "color":
         color = replacement_value or "00FF00"
-        filter_complex = f"colorkey=0x{color}:0.3:0.1,chromakey=0x{color}:0.3:0.1"
-    elif replacement == "blur":
-        filter_complex = "gblur=sigma=20:enable='gt(scene,0.01)'"
+        filter_complex = (
+            f"split[fg][bg];"
+            f"[bg]colorkey=0x{color}:0.3:0.1[bg_key];"
+            f"[fg][bg_key]overlay"
+        )
+    elif replacement == "image" and replacement_value:
+        escaped = replacement_value.replace("\\", "/").replace(":", "\\:")
+        filter_complex = (
+            f"movie='{escaped}':loop=0,scale=iw:ih[bg];"
+            f"[0:v][bg]overlay=0:0:shortest=1"
+        )
     else:
         filter_complex = "null"
 
     if filter_complex == "null":
-        # No-op, copy input to output
         cmd = [ffmpeg, "-y", "-i", input_path, "-c", "copy", output_path]
     else:
         cmd = [
@@ -215,5 +225,8 @@ def _remove_with_ffmpeg_portrait(
     if result.returncode != 0:
         raise RuntimeError(f"FFmpeg background removal failed: {result.stderr[-500:]}")
 
-    logger.info("FFmpeg portait background removal completed -> %s", output_path)
+    logger.warning(
+        "FFmpeg fallback background removal used (no MediaPipe). "
+        "Install 'mediapipe' and 'opencv-python' for proper person segmentation."
+    )
     return output_path