Snis-896.mp4

You'll need libraries like opencv-python for video processing and ffmpeg-python or moviepy for easy metadata access.

pip install opencv-python ffmpeg-python moviepy

For a basic content analysis, let's consider extracting a feature like the average color of the video: SNIS-896.mp4

import cv2
import numpy as np
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
while cap.isOpened():
        ret, frame = cap.read()
        if not ret:
            break
frame_count += 1
        sum_b += np.mean(frame[:,:,0])
        sum_g += np.mean(frame[:,:,1])
        sum_r += np.mean(frame[:,:,2])
cap.release()
avg_b = sum_b / frame_count
    avg_g = sum_g / frame_count
    avg_r = sum_r / frame_count
return {
        'avg_color': (avg_r, avg_g, avg_b)
    }
content_features = analyze_video_content("SNIS-896.mp4")
print(content_features)

Here's a basic example of how to extract some metadata: For a basic content analysis, let's consider extracting

import ffmpeg
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,
    }
metadata = extract_metadata("SNIS-896.mp4")
print(metadata)