Download code/training/stereo_backbones_v1/evaluate.py from zhizeng115/EchoScout-FourTask: direct link, hf CLI and curl.
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1.12 kB
| """Frozen common-v3 evaluation runner with a dedicated stereo actor factory.""" | |
| import sys,json | |
| from pathlib import Path | |
| R=Path(__file__).resolve().parents[2];sys.path[:0]=[str(R),str(R/'tools')] | |
| from evaluation.fourtask_common_v3.registry import MODELS | |
| from training.hvs_audio_fourtask_v2.data import sha | |
| cfg=json.loads(Path(__file__).with_name('config.json').read_text()) | |
| for parent in cfg['parents']: | |
| for stage in ['sft','idm']: | |
| name=f'stereo_{parent}_{stage}' | |
| MODELS[name]=dict(kind='stereo_backbone',parent=str(Path(cfg['output_root'])/parent/stage),path=MODELS[parent]['path'],audio=True,native_audio_track='vision_stereo',base=parent,stage=stage,adapter_sha256=sha(Path(__file__).with_name('model.py')),training_config=cfg,python=sys.executable) | |
| def actor(name,out,max_pixels=65536): | |
| from training.stereo_backbones_v1.model import StereoActor | |
| p=MODELS[name];a=StereoActor(p['base'],out,cfg,Path(p['parent'])/'final.safetensors');a.model.requires_grad_(False);a.model.eval();return a | |
| if __name__=='__main__': | |
| import training.stereo_backbones_v1.eval_runner as runner | |
| runner.Actor=actor | |
| runner.main() | |