Datasets:
File size: 2,921 Bytes
54ed410 | 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 72 73 74 75 76 77 78 79 80 81 82 83 84 85 | """M3ISR frame-level train/test split utility.
Hold-out rule:
Within each RGB_images/<angle>/ folder, every N-th frame (0, N, 2N, ...)
is reserved as a test frame; all other frames are used for training.
With N=6 this gives an approximate 5:1 train/test ratio per scene.
The split is applied independently to each view angle and to both
MovingCameraDynamicScene and MovingCameraStaticScene subsets.
Usage:
python Scripts/split_frames.py \\
--dataset_root TRACKS \\
--output_dir splits \\
--hold_out 6
"""
from __future__ import annotations
import argparse
import os
import re
from pathlib import Path
FRAME_NUM = re.compile(r"(\d+)")
def natural_key(name: str) -> int:
"""Extract the first integer in a filename for natural sorting."""
m = FRAME_NUM.search(name)
return int(m.group(1)) if m else -1
def split_view(view_dir: Path, hold_out: int) -> tuple[list[str], list[str]]:
frames = sorted(
(f for f in view_dir.iterdir() if f.is_file()),
key=lambda p: natural_key(p.name),
)
train, test = [], []
for i, f in enumerate(frames):
(test if i % hold_out == 0 else train).append(str(f))
return train, test
def main() -> None:
ap = argparse.ArgumentParser(description=__doc__,
formatter_class=argparse.RawDescriptionHelpFormatter)
ap.add_argument("--dataset_root", required=True,
help="Path to the TRACKS directory of M3ISR")
ap.add_argument("--output_dir", required=True,
help="Directory where train.txt / test.txt will be written")
ap.add_argument("--hold_out", type=int, default=6,
help="Hold-out stride; every N-th frame becomes a test frame (default: 6)")
args = ap.parse_args()
root = Path(args.dataset_root).resolve()
out_dir = Path(args.output_dir)
out_dir.mkdir(parents=True, exist_ok=True)
all_train: list[str] = []
all_test: list[str] = []
# Walk the directory tree and find every RGB_images/<angle>/ leaf folder.
for rgb_root in root.rglob("RGB_images"):
if not rgb_root.is_dir():
continue
for angle_dir in sorted(rgb_root.iterdir()):
if not angle_dir.is_dir():
continue
tr, te = split_view(angle_dir, args.hold_out)
all_train.extend(tr)
all_test.extend(te)
(out_dir / "train.txt").write_text("\n".join(all_train))
(out_dir / "test.txt").write_text("\n".join(all_test))
print(f"[M3ISR] Dataset root : {root}")
print(f"[M3ISR] Hold-out : every {args.hold_out}-th frame -> test")
print(f"[M3ISR] Train frames : {len(all_train)}")
print(f"[M3ISR] Test frames : {len(all_test)}")
print(f"[M3ISR] Saved : {out_dir/'train.txt'}")
print(f"[M3ISR] Saved : {out_dir/'test.txt'}")
if __name__ == "__main__":
main() |