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23e1f91 | 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 | """Grab the middle-frame of every *_pred_handobject.mp4 and tile into a single
image for quick visual QA of object-track placements across all episodes."""
import argparse, glob, os, math
import cv2
import numpy as np
import imageio.v2 as imageio
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--src_glob", required=True)
ap.add_argument("--out_path", required=True)
ap.add_argument("--cell_w", type=int, default=256)
ap.add_argument("--cell_h", type=int, default=144)
ap.add_argument("--cols", type=int, default=8)
args = ap.parse_args()
files = sorted(glob.glob(args.src_glob))
n = len(files)
rows = math.ceil(n / args.cols)
print(f"{n} videos -> {rows}x{args.cols} grid")
canvas = np.full((rows * args.cell_h, args.cols * args.cell_w, 3), 255, dtype=np.uint8)
for i, p in enumerate(files):
c = cv2.VideoCapture(p)
nf = int(c.get(cv2.CAP_PROP_FRAME_COUNT))
c.set(cv2.CAP_PROP_POS_FRAMES, nf // 2)
r, frame = c.read()
c.release()
if not r:
continue
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
cell = cv2.resize(frame, (args.cell_w, args.cell_h), interpolation=cv2.INTER_AREA)
# tag with short name
name = os.path.basename(p).replace("_pred_handobject.mp4", "").replace("table2_", "")
cv2.putText(cell, name, (4, 14),
cv2.FONT_HERSHEY_SIMPLEX, 0.4, (0, 0, 0), 1, cv2.LINE_AA)
rr, cc = divmod(i, args.cols)
canvas[rr * args.cell_h:(rr + 1) * args.cell_h,
cc * args.cell_w:(cc + 1) * args.cell_w] = cell
imageio.imwrite(args.out_path, canvas)
print(f"saved {args.out_path} ({canvas.shape[1]}x{canvas.shape[0]})")
if __name__ == "__main__":
main()
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