| 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() |
|
|
