| """Validate the adjacent RHD shared-v1.0 tree and fingerprint its current bytes.""" | |
| import argparse, hashlib, json | |
| import numpy as np | |
| import torch | |
| from rhd_common import RELEASE_ROOT, TMP_ROOT, load, save | |
| def main(): | |
| argparse.ArgumentParser(description='Validate the adjacent RHD shared-v1.0 release.').parse_args() | |
| registry=load(RELEASE_ROOT/'doc/schema.json');counts={'training':0,'evaluation':0};seen=set();views=0 | |
| for path in sorted((RELEASE_ROOT/'data').glob('*/*/metainfo.json')): | |
| meta=load(path);base=path.parent;total=meta['num_frames'];views+=1 | |
| for key in ['schema_version','view_type','split_scheme','split_source_locator','sampling','camera','components']:assert key in meta,(path,key) | |
| assert meta['schema_version']=='hand-warehouse/1.0' and meta['dataset_id']=='RHD' and meta['view_type']=='exo' | |
| frames=[json.loads(line) for line in (base/'camera/frames.jsonl').read_text(encoding='utf-8').splitlines()] | |
| assert len(frames)==total | |
| for index,frame in enumerate(frames): | |
| assert frame['frame_index']==index and frame['sample_id'] not in seen | |
| seen.add(frame['sample_id']);split=frame['sample_id'].split('/')[1];counts[split]+=1 | |
| assert frame['source_locator']['annotation_index']==int(frame['source_frame_id']) | |
| for name,component in meta['components'].items(): | |
| spec=registry['components'][component['schema_id']] | |
| for key in ['available','data_ref','valid_ref','axes','valid_axes','provenance','source_locator',*spec.get('required_metadata',[])]:assert key in component,(path,name,key) | |
| assert (base/component['data_ref']).is_file() and (base/component['valid_ref']).is_file() | |
| if component['data_ref'].endswith('.pt'): | |
| value=torch.load(base/component['data_ref'],weights_only=True).numpy();valid=torch.load(base/component['valid_ref'],weights_only=True).numpy() | |
| assert value.dtype==np.float32 and valid.dtype==bool | |
| assert list(value.shape)==[total if axis=='T' else axis for axis in spec['shape']] | |
| assert list(valid.shape)==[total if axis=='T' else axis for axis in spec['valid_shape']] | |
| assert np.isfinite(value[valid]).all() | |
| else: | |
| assert component['storage']['profile'] in spec['allowed_storage_profiles'] | |
| for key in registry['video_metadata']['required']:assert key in component['storage'],(name,key) | |
| for attribute in component.get('attributes',{}).values():assert (base/attribute['data_ref']).is_file() | |
| assert counts=={'training':41258,'evaluation':2728},counts | |
| result={'passed':True,'views':views,'counts':counts,'schema_version':'hand-warehouse/1.0','scope':'current content and layout; does not independently prove official source correctness or visual quality'} | |
| save(TMP_ROOT/'acceptance.json',result);manifest=[] | |
| for path in sorted(RELEASE_ROOT.rglob('*')): | |
| if not path.is_file() or '.cache' in path.parts:continue | |
| digest=hashlib.sha256() | |
| with path.open('rb') as stream: | |
| for block in iter(lambda:stream.read(8<<20),b''):digest.update(block) | |
| manifest.append({'path':path.relative_to(RELEASE_ROOT).as_posix(),'size':path.stat().st_size,'sha256':digest.hexdigest()}) | |
| save(TMP_ROOT/'files.sha256.json',{'scope':result['scope'],'files':manifest,'bytes':sum(x['size'] for x in manifest)}) | |
| print(json.dumps(result,ensure_ascii=False)) | |
| if __name__=='__main__':main() | |