Coder Social home page Coder Social logo

exitudio / gaitmixer Goto Github PK

View Code? Open in Web Editor NEW
22.0 1.0 1.0 736 KB

Official repository for "GaitMixer: Skeleton-based Gait Representation Learning via Wide-spectrum Multi-axial Mixer"

Shell 1.12% Python 98.88%
deep-learning gait-recognition mixer pose-estimation pytorch transformers

gaitmixer's People

Contributors

exitudio avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar

Forkers

anastasispk

gaitmixer's Issues

About Mparams and GFLOPs of GaitMixer

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!!

Program interrupt when multi-GPU training

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!!

Problems with training

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

How to visualize the heat maps

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.

The difference in accuracy of reproduction.

image
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!

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.