UnicodeDecodeError when loading the pre-trained model about slowfast HOT 10 CLOSED

Thank you for replying.

I use Python 3.7.3, which may cause this problem.
I am going to use 3.6 and let you know what happens.

from slowfast.

I use default.py and never changed.
_C.TRAIN.CHECKPOINT_TYPE = "pytorch"

Once I switch pytorch to caffe2, I succeeded in loading the pre-trained model.
Thank you so much!!

from slowfast.

Thanks for using the code.

Could you share me what is the version of python you were using to serialize the model? For PySlowFast the recommend version of python is 3.6.

Could you also clarify what do you mean by “you tried to decode in a different way”?

In PySlowFast we support loading Caffe2 or Pytorch model, and saving model In PyTorch format.
The problem I seen here seems to be you were using some different way to encode your pretrain model (different Python version, or different serialization format). If you use your own way to serialize your model, you need to change the format to loading accordingly.

from slowfast.

I just updated my comments with more details.
When loading caffe2 models, have you set CHECKPOINT_TYPE to caffe2?
I just checked the line of your error message, it seems you have modified the checkpoint.py? Could you show me what are the changes?

from slowfast.

Although I switched 3.7.3 to 3.6.9 by using a virtual environment, I still have the same problem.
I use torch torch==1.3.0 and torchvision==0.4.1.
Would you have another idea?

from slowfast.

Have you set CHECKPOINT_TYPE to caffe2?

from slowfast.

No, I haven't.
Let me try in that way.

from slowfast.

Could you show me the path to the config you were using? It seems to me that you were loading a caffe2 pretrain model as pytorch pretrain model.

from slowfast.

You might able to find more instruction regarding to loading pretrain model in GETTING_STARTED.md

from slowfast.

Thanks. Again you could find the detailed instruction of how to load model (pytorch or caffe2) in GETTING_STARTED.md

Beside that, you probably should use the path to the config I provided in the model zoo, next to the pretrain model column, where the CHECKPOINT_TYPE has already set to caffe2.

from slowfast.