Extracting frames from video data for analysis

Once we have loaded the video data, we can start exploring it. One common technique for the EDA of video data is to visualize some frames of the video. This can help us identify patterns and anomalies in the data. Here is example code that displays the first 10 frames of the video:

import cv2
video_path = "path/to/video.mp4"
cap = cv2.VideoCapture(video_path)
for i in range(10):
    ret, frame = cap.read()
    if not ret:
        break
    cv2.imshow("Frame", frame)
    cv2.waitKey(0)
cap.release()
cv2.destroyAllWindows()

This code reads the first 10 frames of the video from the given path and displays them using the cv2.imshow function. The cv2.waitKey(0) function waits for a key press before displaying the next frame. This allows us to inspect each frame before moving on to the next one.

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