videos_gen_images.py

import os
import cv2
import concurrent.futures

def extract_frames_from_folder(folder_path):
    def extract_frame(video_path):
        # Open video file
        video_capture = cv2.VideoCapture(video_path)

        # Jump to the 6th frame
        frame_number = 6
        video_capture.set(cv2.CAP_PROP_POS_FRAMES, frame_number - 1)

        # Read the 6th frame
        success, frame = video_capture.read()

        if success:
            # Get the video file name (without extension)
            video_name = os.path.splitext(os.path.basename(video_path))[0]
            # Set the image save path to the original video path
            image_path = os.path.join(os.path.dirname(video_path), f"{video_name}.jpg")

            # Check if the image file already exists
            if not os.path.exists(image_path):
                cv2.imwrite(image_path, frame)
               # print(f"Saved frame {frame_number} as {image_path}")
            else:
                print(f"Image already exists for {video_name}")
        else:
            print(f"Unable to read frame {frame_number}")

        # Release the video file
        video_capture.release()

    # Collect video files
    video_files = []
    for root, dirs, files in os.walk(folder_path):
        for filename in files:
            if filename.lower().endswith(".mp4") or filename.lower().endswith(".mkv"):
                video_files.append(os.path.join(root, filename))

    # Extract frames using multiple threads
    with concurrent.futures.ThreadPoolExecutor(max_workers=8) as executor:
        executor.map(extract_frame, video_files)

# Call the function with your folder path
folder_path = "videochatgpt_tune"  # Replace with your folder path
extract_frames_from_folder(folder_path)