Files
momentry_core/scripts/cut_processor.py
accusys 383201cacd feat: Initial v0.9 release with API Key authentication
## v0.9.20260325_144654

### Features
- API Key Authentication System
- Job Worker System
- V2 Backup Versioning

### Bug Fixes
- get_processor_results_by_job column mapping

Co-authored-by: OpenCode
2026-03-25 14:53:41 +08:00

107 lines
3.2 KiB
Python
Executable File

#!/opt/homebrew/bin/python3.11
"""
CUT Processor - Scene Detection
Uses PySceneDetect for scene detection (local)
"""
import sys
import json
import argparse
import os
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from redis_publisher import RedisPublisher
def process_cut(video_path: str, output_path: str, uuid: str = ""):
"""Process video for scene detection"""
publisher = RedisPublisher(uuid) if uuid else None
if publisher:
publisher.info("cut", "CUT_START")
try:
from scenedetect import VideoManager, SceneManager
from scenedetect.detectors import ContentDetector
except ImportError:
if publisher:
publisher.error("cut", "scenedetect not installed")
result = {"frame_count": 0, "fps": 0.0, "scenes": []}
if publisher:
publisher.complete("cut", "0 scenes")
with open(output_path, "w") as f:
json.dump(result, f, indent=2)
return result
if publisher:
publisher.info("cut", "CUT_LOADING_VIDEO")
# Create video manager and scene manager
video_manager = VideoManager([video_path])
scene_manager = SceneManager()
# Add content detector (detects scene cuts based on frame differences)
# threshold: sensitivity (lower = more sensitive, default 30)
# min_scene_len: minimum frames per scene (default 15)
scene_manager.add_detector(ContentDetector(threshold=30.0, min_scene_len=15))
# Set downscale factor for faster processing
video_manager.set_downscale_factor()
if publisher:
publisher.info("cut", "CUT_DETECTING")
# Start video manager
video_manager.start()
# Detect scenes
scene_manager.detect_scenes(frame_source=video_manager)
# Get scene list
scene_list = scene_manager.get_scene_list()
# Get frame rate
fps = video_manager.get_framerate()
if publisher:
publisher.info("cut", f"fps={fps}")
# Get total frame count
frame_count = 0
if scene_list:
frame_count = scene_list[-1][1].get_frames()
# Convert scenes to result format
scenes = []
for i, (start, end) in enumerate(scene_list):
scene = {
"scene_number": i + 1,
"start_frame": start.get_frames(),
"end_frame": end.get_frames() - 1, # end is exclusive
"start_time": start.get_seconds(),
"end_time": end.get_seconds() - (1.0 / fps) if fps > 0 else 0,
}
scenes.append(scene)
if publisher:
publisher.progress("cut", i + 1, len(scene_list), f"Scene {i + 1}")
result = {"frame_count": frame_count, "fps": fps, "scenes": scenes}
with open(output_path, "w") as f:
json.dump(result, f, indent=2)
if publisher:
publisher.complete("cut", f"{len(scenes)} scenes")
return result
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Scene Detection")
parser.add_argument("video_path", help="Path to video file")
parser.add_argument("output_path", help="Output JSON path")
parser.add_argument("--uuid", "-u", help="UUID for Redis progress", default="")
args = parser.parse_args()
process_cut(args.video_path, args.output_path, args.uuid)