Initial commit: Jellyfin Black Bar Remover MVP

2026-09-17 14:13:05 +02:00
commit bb7af50879
12 changed files with 861 additions and 0 deletions
@@ -0,0 +1,57 @@
+import subprocess
+import sys
+import os
+
+def transcode_video(input_file, output_file, crop_param, hw_accel=False):
+    """
+    Transcodes the video and applies cropping.
+    crop_param: string in the format "W:H:X:Y"
+    hw_accel: boolean, if true we use hardware acceleration (NVENC as an example)
+    """
+    cmd = ['ffmpeg', '-y', '-i', input_file]
+    
+    # We apply the crop filter
+    vf_param = f'crop={crop_param}'
+    
+    if hw_accel:
+        # Example using NVIDIA NVENC. 
+        # In a real Jellyfin environment, this would be constructed based on Jellyfin's profile.
+        cmd.extend([
+            '-c:v', 'h264_nvenc',
+            '-preset', 'fast',
+            '-vf', vf_param,
+            '-c:a', 'copy' # Keep audio as is
+        ])
+    else:
+        # Software encoding fallback
+        cmd.extend([
+            '-c:v', 'libx264',
+            '-preset', 'fast',
+            '-crf', '23',
+            '-vf', vf_param,
+            '-c:a', 'copy'
+        ])
+        
+    cmd.append(output_file)
+    
+    print(f"Running transcoding command: {' '.join(cmd)}")
+    
+    # In a real scenario, this would stream to Jellyfin's output or write to the required segment files.
+    process = subprocess.Popen(cmd)
+    process.wait()
+    
+    if process.returncode == 0:
+        print("Transcoding completed successfully.")
+    else:
+        print(f"Transcoding failed with code {process.returncode}")
+
+if __name__ == '__main__':
+    if len(sys.argv) < 4:
+        print("Usage: python transcode_crop.py <input_file> <output_file> <crop_param>")
+        sys.exit(1)
+        
+    input_file = sys.argv[1]
+    output_file = sys.argv[2]
+    crop_param = sys.argv[3]
+    
+    transcode_video(input_file, output_file, crop_param, hw_accel=False)