# Example usage video_path = "CASAL TK 06.mp4" extract_features(video_path) This example provides a basic entry point into feature extraction. The actual features you choose to extract depend on your specific requirements or application, which might involve more sophisticated video analysis techniques.
def extract_features(video_path): # Initialize video capture cap = cv2.VideoCapture(video_path) # Metadata frame_count = 0 width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) fps = cap.get(cv2.CAP_PROP_FPS) # Visual Features Example: Just count frames, similar to duration while cap.isOpened(): ret, frame = cap.read() if not ret: break frame_count += 1 cap.release() # Duration duration = frame_count / fps print(f"Metadata:") print(f"Resolution: {width}x{height}") print(f"FPS: {fps}") print(f"Duration (seconds): {duration}") # Simple Audio Feature Extraction (Using Librosa) try: y, sr = librosa.load(video_path, sr=None) tempo, beats = librosa.beat.beat_track(y=y, sr=sr) print(f"Audio Tempo: {tempo}") except Exception as e: print(f"Failed to extract audio features: {e}") CASAL TK 06.mp4
import cv2 import librosa import numpy as np # Example usage video_path = "CASAL TK 06