Conan

same problem, any solution?

nuscenes should be 1.0.1 according to #290 pip install nuscenes-devkit==1.0.1

kitti viwer backend issue solve method #283 I change the code in the main function of /backend/main.py "app.run(host='127.0.0.1', threaded=True, port=port)" to "app.run(host='0.0.0.0', threaded=True, port=port)", and I type "server ip: port"...

pytorch version `pip install torch==1.4.0+cu100 torchvision==0.5.0+cu100 -f https://download.pytorch.org/whl/torch_stable.html`

use the all.pp.mida.config Generate output labels... generate label finished(1.93/s). start eval: Evaluation nusc Nusc v1.0-trainval Evaluation bus Nusc dist [email protected], 1.0, 2.0, 4.0 and TP errors 23.03, 41.42, 53.03, 55.15...

Numba need the cudatoolkit 10.1，you can install it by `conda install cudatoolkit=10.1`

The first problem I understand. For the second problem, I can understand the situation c_{ui} != 0. I use your code and use the Logistic likelihood function with Negative sampling...

Hi, I have some doubt about how to apply your data split method in the baseline WMF. As I know, the data split method you use like below,  Each...

You are right, the split is random. To see it simply, I draw the diagram like the above. I have tried to use the data in blue and red rectangle...