import cv2 import numpy as np
total_red += cv2.mean(red)[0] total_green += cv2.mean(green)[0] total_blue += cv2.mean(blue)[0]
def extract_feature(video_path): # Initialize video capture cap = cv2.VideoCapture(video_path) if not cap.isOpened(): print("Cannot open camera") return video_13@09-08-2021_17-18-48.mp4
print(f"Average Red: {avg_red}, Average Green: {avg_green}, Average Blue: {avg_blue}") else: print("No frames processed.")
while cap.isOpened(): ret, frame = cap.read() if not ret: break import cv2 import numpy as np total_red += cv2
cap.release()
# Convert frame to a different color space if needed; here we use RGB # But OpenCV reads in BGR by default, so we don't convert here blue, green, red = cv2.split(frame) Average Green: {avg_green}
pip install opencv-python Below is a basic Python script that calculates the average color of each frame in a video. This can be considered a simple feature of the video.