AntonioJun/workspace
Spatial Code VSI-Bench Workspace This workspace evaluates VSI-Bench question answering with several input regimes: raw video frames, perceived spatial codes from SAM3 + Depth Anything 3 caches, ground-truth spatial codes from dataset annotations, and a deterministic symbolic solver. The code is organized so important outputs are reproducible from fixed inputs, fixed packages, fixed model checkpoints, and fixed SAM3/DA3 caches. The repository intentionally separates three… See the full description on the dataset page: https://huggingface.co/datasets/AntonioJun/workspace.
0269
1"""Generate the high-level within-F report."""2 3import argparse4from pathlib import Path5from analysis.letters_reports import generate_letter6 7LETTER = "F"8 9 10def generate(11 results_dir,12 protocols=(),13 output_dir=None,14 spatial_codes_dir=None,15 profile_path=None,16):17 return generate_letter(18 LETTER, results_dir, protocols, output_dir, spatial_codes_dir, profile_path19 )20 21 22def main():23 p = argparse.ArgumentParser(description="Generate the high-level within-F report.")24 p.add_argument("--results-dir", default="/root/results/F")25 p.add_argument("--protocol", action="append", default=[])26 p.add_argument("--output-dir", default="/workspace/reports")27 p.add_argument("--spatial-codes-dir", default=None)28 a = p.parse_args()29 result = generate(a.results_dir, a.protocol, a.output_dir, a.spatial_codes_dir)30 print(f"wrote {result['path']}")31 32 33if __name__ == "__main__":34 main()35