924973292 / editor Goto Github PK

Congratulations on getting your paper published. May I ask under which path the pre-training Vit-B is placed

Thank you for your great work.
I have a question, what is the difference between RGBNT201 and RGBNT201-C in your dataset?
Thank you~

Traceback (most recent call last):
File "/home/tiancun/EDITOR/modeling/backbones/vit_pytorch.py", line 666, in load_param
self.state_dict()[k].copy_(v)
KeyError: 'state_dict_ema'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/home/tiancun/EDITOR/train_net.py", line 71, in
model = make_model(cfg, num_class=num_classes, camera_num=camera_num)
File "/home/tiancun/EDITOR/modeling/make_model.py", line 372, in make_model
model = EDITOR(num_class, cfg, camera_num, __factory_T_type)
File "/home/tiancun/EDITOR/modeling/make_model.py", line 89, in init
self.BACKBONE = build_transformer(num_classes, cfg, camera_num, factory)
File "/home/tiancun/EDITOR/modeling/make_model.py", line 63, in init
self.base.load_param(model_path)
File "/home/tiancun/EDITOR/modeling/backbones/vit_pytorch.py", line 669, in load_param
print('shape do not match in k :{}: param_dict{} vs self.state_dict(){}'.format(k, v.shape,
AttributeError: 'dict' object has no attribute 'shape'

Sorry to bother you. When I was training RGBNT201, I used pre-training 82.6_T2T_ViTt_24_pth and this error occurred. How did you solve it?

Market1501不可以直接训练吗？必须转为Market1501MM ?

这个工具是否有参考code？