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""" |
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A helper function to get a default model for quick testing |
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""" |
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from omegaconf import open_dict |
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from hydra import compose, initialize |
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import torch |
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from matanyone.model.matanyone import MatAnyone |
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def get_matanyone_model(ckpt_path, device=None) -> MatAnyone: |
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initialize(version_base='1.3.2', config_path="../config", job_name="eval_our_config") |
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cfg = compose(config_name="eval_matanyone_config") |
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with open_dict(cfg): |
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cfg['weights'] = ckpt_path |
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if device is not None: |
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matanyone = MatAnyone(cfg, single_object=True).to(device).eval() |
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model_weights = torch.load(cfg.weights, map_location=device) |
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else: |
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matanyone = MatAnyone(cfg, single_object=True).cuda().eval() |
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model_weights = torch.load(cfg.weights) |
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matanyone.load_weights(model_weights) |
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return matanyone |
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