Snis-896.mp4 May 2026

content_features = analyze_video_content("SNIS-896.mp4") print(content_features) You could combine these steps into a single function or script to generate a comprehensive set of features for your video.

pip install opencv-python ffmpeg-python moviepy Here's a basic example of how to extract some metadata: SNIS-896.mp4

import ffmpeg

def analyze_video_content(video_path): cap = cv2.VideoCapture(video_path) if not cap.isOpened(): return frame_count = 0 sum_b = 0 sum_g = 0 sum_r = 0 content_features = analyze_video_content("SNIS-896

features = generate_video_features("SNIS-896.mp4") print(features) This example provides a basic framework. The type of features you need to extract will depend on your specific use case. More complex analyses might involve machine learning models for object detection, facial recognition, or action classification. More complex analyses might involve machine learning models

def extract_metadata(video_path): probe = ffmpeg.probe(video_path) video_stream = next((stream for stream in probe['streams'] if stream['codec_type'] == 'video'), None) width = int(video_stream['width']) height = int(video_stream['height']) duration = float(probe['format']['duration']) return { 'width': width, 'height': height, 'duration': duration, }