wrong checkpoint #18
Description
Thank you for your wonderful work.
'Encoder. SAM2-UNet applys the Hiera [38] backbone pretrained by SAM2.'
However, I download the checkpoint from 'https://dl.fbaipublicfiles.com/segment_anything_2/092824/sam2.1_hiera_large.pt' in 'https://github.com/facebookresearch/sam2/tree/main/checkpoints', but failed to init the model, can you send me the checkpoint you use in the paper?
My e-mail adress is: [email protected]
Sincerely,
File "F:\seg\SAM2-UNet-main\SAM2-UNet-main\untils.py", line 55, in init_net
return SAM2UNet(checkpoint_path=path)
File "F:\seg\SAM2-UNet-main\SAM2-UNet-main\SAM2UNet.py", line 129, in init
model = build_sam2(model_cfg, checkpoint_path)
File "F:\seg\SAM2-UNet-main\SAM2-UNet-main\sam2\build_sam.py", line 36, in build_sam2
_load_checkpoint(model, ckpt_path)
File "F:\seg\SAM2-UNet-main\SAM2-UNet-main\sam2\build_sam.py", line 82, in _load_checkpoint
missing_keys, unexpected_keys = model.load_state_dict(sd)
File "C:\Users\user.conda\envs\torch\lib\site-packages\torch\nn\modules\module.py", line 2189, in load_state_dict
raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for SAM2Base:
Unexpected key(s) in state_dict: "no_obj_embed_spatial", "obj_ptr_tpos_proj.weight", "obj_ptr_tpos_proj.bias".