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@@ -11,6 +11,8 @@ from hydra import compose
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from hydra.utils import instantiate
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from omegaconf import OmegaConf
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from huggingface_hub import hf_hub_download
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def build_sam2(
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config_file,
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@@ -76,6 +78,18 @@ def build_sam2_video_predictor(
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return model
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def build_sam2_hf(model_id, **kwargs):
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config_file = hf_hub_download(repo_id=model_id, filename=f"{model_id}.yaml")
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ckpt_path = hf_hub_download(repo_id=model_id, filename=f"{model_id}.pt")
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return build_sam2_video_predictor(config_file=config_file, ckpt_path=ckpt_path, **kwargs)
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def build_sam2_video_predictor_hf(model_id, **kwargs):
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config_file = hf_hub_download(repo_id=model_id, filename=f"{model_id}.yaml")
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ckpt_path = hf_hub_download(repo_id=model_id, filename=f"{model_id}.pt")
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return build_sam2_video_predictor(config_file=config_file, ckpt_path=ckpt_path, **kwargs)
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def _load_checkpoint(model, ckpt_path):
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if ckpt_path is not None:
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sd = torch.load(ckpt_path, map_location="cpu")["model"]
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@@ -86,4 +100,4 @@ def _load_checkpoint(model, ckpt_path):
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if unexpected_keys:
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logging.error(unexpected_keys)
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raise RuntimeError()
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logging.info("Loaded checkpoint sucessfully")
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logging.info("Loaded checkpoint sucessfully")
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