syncnet_compute / FaceParse /face_alignment_test_video_vis.py
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import argparse
import cv2
import numpy as np
def main():
parser = argparse.ArgumentParser(description="Overlay mask video on original video.")
parser.add_argument("--video", required=True, help="Input video path (mp4).")
parser.add_argument("--mask", required=True, help="Mask video path (mkv, single channel).")
parser.add_argument("--output", required=True, help="Output mp4 path.")
parser.add_argument("--alpha", type=float, default=0.3, help="Mask overlay strength.")
args = parser.parse_args()
cap = cv2.VideoCapture(args.video)
mask_cap = cv2.VideoCapture(args.mask)
if not cap.isOpened():
raise RuntimeError(f"Failed to open video: {args.video}")
if not mask_cap.isOpened():
raise RuntimeError(f"Failed to open mask video: {args.mask}")
fps = cap.get(cv2.CAP_PROP_FPS) or 25.0
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
fourcc = cv2.VideoWriter_fourcc(*"mp4v")
writer = cv2.VideoWriter(args.output, fourcc, fps, (width, height), isColor=True)
frame_idx = 0
try:
while True:
ret, frame = cap.read()
ret_mask, mask = mask_cap.read()
if not ret or not ret_mask:
break
if mask.ndim == 3:
mask_gray = cv2.cvtColor(mask, cv2.COLOR_BGR2GRAY)
else:
mask_gray = mask
if mask_gray.shape[0] != height or mask_gray.shape[1] != width:
mask_gray = cv2.resize(mask_gray, (width, height), interpolation=cv2.INTER_NEAREST)
color = np.zeros_like(frame)
color[:, :, 1] = mask_gray
overlay = cv2.addWeighted(frame, 1.0 - args.alpha, color, args.alpha, 0)
writer.write(overlay)
frame_idx += 1
finally:
cap.release()
mask_cap.release()
writer.release()
print(f"Saved {frame_idx} frames to {args.output}")
if __name__ == "__main__":
main()
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