import os import cv2 import argparse from PIL import Image, ImageSequence from tqdm import tqdm def extract_frames_from_mp4(video_path, output_dir): """Extract frames from an MP4 video.""" cap = cv2.VideoCapture(video_path) if not cap.isOpened(): print(f"[ERROR] Failed to open video: {video_path}") return count = 0 while True: ret, frame = cap.read() if not ret: break frame = cv2.resize(frame, (512, 512)) frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) img = Image.fromarray(frame) img.save(os.path.join(output_dir, f"frame_{count:04d}.png")) count += 1 cap.release() def extract_frames_from_gif(gif_path, output_dir): """Extract frames from a GIF file.""" with Image.open(gif_path) as im: count = 0 for frame in ImageSequence.Iterator(im): frame = frame.convert("RGB").resize((512, 512)) frame.save(os.path.join(output_dir, f"frame_{count:04d}.png")) count += 1 def main(args): input_path = args.input_path output_path = args.output_path if not os.path.exists(output_path): os.makedirs(output_path) video_files = [f for f in os.listdir(input_path) if f.lower().endswith(('.mp4', '.gif'))] if not video_files: print("[WARNING] No MP4 or GIF files found in the input directory.") return for video_file in tqdm(video_files): video_name = os.path.splitext(video_file)[0] video_path = os.path.join(input_path, video_file) save_dir = os.path.join(output_path, video_name) os.makedirs(save_dir, exist_ok=True) if video_file.lower().endswith('.mp4'): extract_frames_from_mp4(video_path, save_dir) elif video_file.lower().endswith('.gif'): extract_frames_from_gif(video_path, save_dir) print("All done!") if __name__ == "__main__": parser = argparse.ArgumentParser(description="Video preprocessing script (supports MP4 and GIF).") parser.add_argument("--input_path", type=str, required=True, help="Path to the folder containing videos.") parser.add_argument("--output_path", type=str, required=True, help="Path to save extracted frames.") args = parser.parse_args() main(args) # python preprocess.py --input_path ./test/input --output_path ./test/output