File size: 1,658 Bytes
ae419ed | 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 | from __future__ import annotations
import argparse
from pathlib import Path
import numpy as np
from common import ROOT
from dynafall.data import save_pickle
def make_video(label: int, frames: int, rng: np.random.Generator) -> np.ndarray:
base = rng.normal(0, 0.04, size=(frames, 17, 3)).astype(np.float32)
base[..., 2] = rng.uniform(0.75, 1.0, size=(frames, 17))
y = np.linspace(-0.5, 0.5, 17)[None, :, None]
x = np.linspace(-0.25, 0.25, 17)[None, :, None]
base[..., :1] += x
base[..., 1:2] += y
if label == 1:
fall_start = frames // 3
drop = np.linspace(0, 1.2, frames - fall_start)[:, None]
base[fall_start:, :, 1] += drop
base[fall_start:, [11, 12, 13, 14, 15, 16], 1] += drop * 0.4
base[fall_start:, :, 0] *= 1.8
else:
walk = np.sin(np.linspace(0, 4 * np.pi, frames))[:, None] * 0.08
base[:, :, 0] += walk
return base.astype(np.float32)
def main() -> None:
ap = argparse.ArgumentParser()
ap.add_argument("--dataset", default="Synthetic")
ap.add_argument("--videos", type=int, default=40)
ap.add_argument("--seed", type=int, default=7)
args = ap.parse_args()
rng = np.random.default_rng(args.seed)
records = []
for i in range(args.videos):
label = int(i % 2 == 0)
frames = int(rng.integers(36, 80))
records.append({"video_id": f"{args.dataset}_{i:03d}", "label": label, "keypoints": make_video(label, frames, rng)})
out = ROOT / "data/poses" / f"{args.dataset}_keypoints.pkl"
save_pickle(records, out)
print(f"Wrote {out} ({len(records)} videos)")
if __name__ == "__main__":
main()
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