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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) |