# Read and display video frames frames = [] while cap.isOpened(): ret, frame = cap.read() if not ret: break # Convert to RGB (OpenCV reads in BGR format) frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) frames.append(frame_rgb)
import cv2 import numpy as np
# Simple example: visualize the feature space using PCA from sklearn.decomposition import PCA tomo_4.mp4