Snis-896.mp4 Apr 2026

return { 'avg_color': (avg_r, avg_g, avg_b) }

def generate_video_features(video_path): # Call functions from above or integrate the code here metadata = extract_metadata(video_path) content_features = analyze_video_content(video_path) # Combine and return return {**metadata, **content_features} SNIS-896.mp4

pip install opencv-python ffmpeg-python moviepy Here's a basic example of how to extract some metadata: return { 'avg_color': (avg_r, avg_g, avg_b) } def

To generate features from a video, you might want to extract metadata and analyze the content. Metadata includes information like the video's duration, resolution, and creation date. Content features could involve analyzing frames for color histograms, object detection, or other more complex analyses. Step 1: Install Necessary Libraries You'll need libraries like opencv-python for video processing and ffmpeg-python or moviepy for easy metadata access. Step 1: Install Necessary Libraries You'll need libraries

metadata = extract_metadata("SNIS-896.mp4") print(metadata) For a basic content analysis, let's consider extracting a feature like the average color of the video: