| dependencies = ['torch'] | |
| import torch | |
| from WildCamera.newcrfs.newcrf_incidencefield import NEWCRFIF | |
| def WildCamera(pretrained=True): | |
| model = NEWCRFIF(version='large07', pretrained=None) | |
| if pretrained: | |
| # pretrained_resource = "https://huggingface.co/datasets/Shengjie/WildCamera/resolve/main/checkpoint/wild_camera_all.pth" | |
| # state_dict = torch.hub.load_state_dict_from_url(pretrained_resource, map_location='cpu') | |
| state_dict = torch.load( | |
| "/mnt/prev_nas/qhy/WildCamera/checkpoint/wild_camera_all.pth", | |
| map_location="cpu" | |
| ) | |
| model.load_state_dict(state_dict, strict=True) | |
| return model | |
| if __name__ == "__main__": | |
| model = torch.hub.load('ShngJZ/WildCamera', "WildCamera", pretrained=True) |