1.video_to_image.py

import cv2
import os

# Function to extract frames from a video until reaching the desired frame count
def extract_frames(video_file):
    cap = cv2.VideoCapture(video_file)

    # Ensure the video is opened correctly
    if not cap.isOpened():
        print(f"Error: Could not open video file {video_file}")
        return
    
    frame_rate = 3  # Desired frame rate (1 frame every 0.5 seconds)
    frame_count = 0
    
    # Get the video file's name without extension
    video_name = os.path.splitext(os.path.basename(video_file))[0]
    
    # Create an output folder with a name corresponding to the video
    #output_directory = f"{video_name}_frames"

    output_directory = "D:/20240814-xd/28/images/front"
    
    os.makedirs(output_directory, exist_ok=True)
    
    while True:
        ret, frame = cap.read()
        
        if not ret:
            break
        
        frame_count += 1
        
        # Only extract frames at the desired frame rate
        if frame_count % int(cap.get(5) / frame_rate) == 0:
            output_file = f"{output_directory}/{frame_count}_front28.jpg"
            cv2.imwrite(output_file, frame)
            print(f"Frame {frame_count} has been extracted and saved as {output_file}")
    
    cap.release()
    cv2.destroyAllWindows()

if __name__ == "__main__":
    video_file = r"D:/20240814-xd/28/video/front.mp4"  # Replace with your video's name
    
    extract_frames(video_file)



# 四班学生01同学的实验视频