File size: 2,439 Bytes
d441014 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 | 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
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