exitudio / gaitmixer Goto Github PK

Hi, it is a great work! I want to know the whole Mparams and GFLOPs of GaitMixer, including the pose estimator. Can you tell me? Thank you very much!!

Hi, it is great work! But I also needed some help. When I run train.py with multiple GPUs, (for example, the "--gpus" parameter is set to "0,1,2,3,4,5,6,7"), my program interrupts but returns no errors. I found that the interrupts occurred in the "loss.backward()" line of code. Can you give me some advice? Thank you very much!!

Dear the authors:
I downloaded your code and trained it with 2 GTX1080Ti according to your readme document. But the training effect is much worse. Is there anything wrong with me? Attached is the training results.

           0        18        36        54  ...    144    162    180      mean

NM#5-6 0.937374 0.935354 0.948000 0.942424 ... 0.950 0.948 0.912 0.939596
BG#1-2 0.809091 0.829293 0.826263 0.835714 ... 0.816 0.840 0.787 0.811113
CL#1-2 0.780000 0.810000 0.819000 0.806122 ... 0.827 0.817 0.800 0.808069

Excuse me. Thanks for your work, but I wonder how to visualize the heat maps in your paper. Could you please show the code or explain the method about it.

Thank you for your outstanding work!I wanted to test the results with my own recorded data, but could not find a demo.

Hi， I just download the data.zip from gaitgraph for casia-b_poses_train_valid.csv and casia-b_valid.csv, then use experiments/train.sh to train model, but the accuracy looks have a bit difference from paper. I have not adjusted any hyperparameters or network structure. How can I adjust it to reproduce this accuracy.
Looking forward to your early reply! Tks！