| 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) | |