GithubHelp home page GithubHelp logo

raymon-tian / keras_realtime_multi-person_pose_estimation Goto Github PK

View Code? Open in Web Editor NEW
39.0 7.0 20.0 18.89 MB

the keras implement of the Realtime Multi-Person Pose Estimation

Python 1.68% Jupyter Notebook 98.32% Shell 0.01%

keras_realtime_multi-person_pose_estimation's Introduction

keras_Realtime_Multi-Person_Pose_Estimation

the keras implement of the Realtime Multi-Person Pose Estimation

keras_realtime_multi-person_pose_estimation's People

Contributors

jningwei avatar raymon-tian avatar

Stargazers

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

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar

keras_realtime_multi-person_pose_estimation's Issues

How long a runtime should take? (CPU)

Im using CPU i7 gen 6, 8gb dd4, ssd 256MB, Windows 7 with Tensorflow compiled with avx2 (without MKL)
for a single image (712x674) it takes over 16 seconds, where the prediction itself (without loading the model or reading the image) takes about 14 seconds.

is it a way to imporve this runtime issue without using GPU?

請問問什麽使用relu作爲激活函數

在L2就是lmdb的部分,每兩個點作爲部位連結的一個單位向量,應該是有正負數值的,而relu不能輸出負數,所以請問是什麽原因使用relu呢?

Why your heatmap is different from the office version?

Hi,
I have check the official version. Your detected heatmap is different from official version, but your final result is same with it. I have checked the codes, but I have not found the reason.
Could you interpret why they are different for me ?
Thanks

Questions about demo.ipynb

In the demo.ipynb, you shown the heatmap[:,:,2], it looks a little noisy, but the final result looks good.
Is the final result based on the your trained model and up-mentioned noisy heatmap??
Thanks very much.

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.