Testing time for the inference stage

[geekJZY]

Hi,

I am very interested in this work and I am trying to test its performance. I successfully run the code, but the speed I got is about 1s/frame on the V100 GPU, which is far slower than what the paper reported. Do you have any idea why it would be like this.

Thanks.

[lzozo95]

HI,

I'm so sorry that this comment is not about your query. I want to ask you a question. How can you download the normal weight file and how to use it? Isn't there any error?

Thanks.

[geekJZY]

HI,

I'm so sorry that this comment is not about your query. I want to ask you a question. How can you download the normal weight file and how to use it? Isn't there any error?

Thanks.

I just download without unzipping. The torch.load can directly read it.

[pingjun18-li]

HI, I'm so sorry that this comment is not about your query. I want to ask you a question. How can you download the normal weight file and how to use it? Isn't there any error? Thanks.

I just download without unzipping. The torch.load can directly read it.

I have download the weight, but when i load it , it print the error as below:

import torch torch.load("/data/VOS/GraphMemVOS-master/workspace_STM_alpha/main_runfile_graph_memory.pth.tar") Traceback (most recent call last): File "", line 1, in File "/opt/conda/lib/python3.6/site-packages/torch/serialization.py", line 368, in load return _load(f, map_location, pickle_module) File "/opt/conda/lib/python3.6/site-packages/torch/serialization.py", line 542, in _load result = unpickler.load() ModuleNotFoundError: No module named 'utils.stats' or can anyone who can read the weight to save it to nomally .pth but npt .pth.tar? thank u very much