Download scripts/prepare_data.py from MissawB/creature-flow-point-dit: direct link, hf CLI and curl.
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https://huggingface.co/MissawB/creature-flow-point-dit/resolve/main/scripts/prepare_data.py
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hf download hf://MissawB/creature-flow-point-dit/scripts/prepare_data.py
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curl -L -o prepare_data.py https://huggingface.co/MissawB/creature-flow-point-dit/resolve/main/scripts/prepare_data.py
1.07 kB
| import sys | |
| import os | |
| sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))) | |
| import argparse | |
| import yaml | |
| from data.dataset import CreatureDataset | |
| def main(): | |
| parser = argparse.ArgumentParser(description="Pre-generate synthetic SMAL quadruped dataset.") | |
| parser.add_argument("--config", type=str, default="configs/default_config.yaml") | |
| args = parser.parse_args() | |
| with open(args.config, "r", encoding="utf-8") as f: | |
| cfg = yaml.safe_load(f) | |
| cache_dir = cfg["data"]["cache_dir"] | |
| samples_per_family = cfg["data"]["num_samples_per_family"] | |
| num_points = cfg["data"]["num_points"] | |
| print(f"Generating dataset: {samples_per_family} samples per family, {num_points} points...") | |
| dataset = CreatureDataset( | |
| num_samples_per_family=samples_per_family, | |
| num_points=num_points, | |
| augment=False, | |
| cache_dir=cache_dir | |
| ) | |
| print(f"Dataset successfully created and cached in {cache_dir}/ (Total: {len(dataset)} samples).") | |
| if __name__ == "__main__": | |
| main() | |