| dependencies = ['torch'] | |
| from modules.xfeat import XFeat as _XFeat | |
| import torch | |
| def XFeat(pretrained=True, top_k=4096, detection_threshold=0.05): | |
| """ | |
| XFeat model | |
| pretrained (bool): kwargs, load pretrained weights into the model | |
| """ | |
| weights = None | |
| if pretrained: | |
| weights = torch.hub.load_state_dict_from_url("https://github.com/verlab/accelerated_features/raw/main/weights/xfeat.pt") | |
| model = _XFeat(weights, top_k=top_k, detection_threshold=detection_threshold) | |
| return model | |