| import argparse | |
| import os | |
| import numpy as np | |
| def iter_transitions(data_dir: str): | |
| shard_files = sorted( | |
| f for f in os.listdir(data_dir) if f.startswith("shard_") and f.endswith(".npz") | |
| ) | |
| for name in shard_files: | |
| path = os.path.join(data_dir, name) | |
| data = np.load(path, allow_pickle=True) | |
| frames_list = data["frames"] | |
| w_list = data["w"] | |
| h_list = data["h"] | |
| for i in range(len(frames_list)): | |
| frames = frames_list[i] | |
| w = int(w_list[i]) | |
| h = int(h_list[i]) | |
| for t in range(frames.shape[0] - 1): | |
| yield w, h, frames[t], frames[t + 1] | |
| def main() -> None: | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--data", default="./nca_dataset_set2/data") | |
| parser.add_argument("--limit", type=int, default=5) | |
| args = parser.parse_args() | |
| for i, (w, h, frame_t, frame_t1) in enumerate(iter_transitions(args.data), start=1): | |
| print(f"sample={i} w={w} h={h} unique_t={np.unique(frame_t).size}") | |
| if i >= args.limit: | |
| break | |
| if __name__ == "__main__": | |
| main() | |