File size: 1,554 Bytes
eafbe80 | 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 | #!/usr/bin/env python3
"""
Visualize revisit consistency by exporting side-by-side images:
[reference_frame | revisit_frame]
First version:
- reference = first frame, revisit = last frame.
"""
from __future__ import annotations
import argparse
import os
from typing import List
try:
import cv2
except ImportError as e:
raise RuntimeError("opencv-python required") from e
import numpy as np
from PIL import Image
def read_video_frames(path: str) -> List[np.ndarray]:
cap = cv2.VideoCapture(path)
out = []
while True:
ret, bgr = cap.read()
if not ret:
break
out.append(cv2.cvtColor(bgr, cv2.COLOR_BGR2RGB))
cap.release()
return out
def side_by_side(a: np.ndarray, b: np.ndarray) -> Image.Image:
if a.shape != b.shape:
b = cv2.resize(b, (a.shape[1], a.shape[0]), interpolation=cv2.INTER_LINEAR)
img = np.concatenate([a, b], axis=1)
return Image.fromarray(img.astype(np.uint8))
def main():
p = argparse.ArgumentParser(description="Export side-by-side revisit frames")
p.add_argument("--video", required=True)
p.add_argument("--output", required=True, help="output png path")
args = p.parse_args()
frames = read_video_frames(args.video)
if len(frames) < 2:
raise SystemExit("video has <2 frames")
ref = frames[0]
rev = frames[-1]
out_img = side_by_side(ref, rev)
os.makedirs(os.path.dirname(args.output), exist_ok=True)
out_img.save(args.output)
print(args.output)
if __name__ == "__main__":
main()
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