Skip to content

This is the python implementation of the datalayer in Convolutional Pose Machines

Notifications You must be signed in to change notification settings

Xiaoccer/CPM_PyLayer

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 

Repository files navigation

CPM_PyLayer

This is the python implementation of the datalayer in Convolutional Pose Machines release

Environments

  • Python2.7
  • Opencv2.4.13
  • Numpy
  • IPython

Deitals

data_transformer.py is the implenentaiton like the data_transformer.cpp in the Convolutional Pose Machines release code. But something is difference:

  • keep the method of data augmentation
  • reduce some params
  • remove the center map(if you want to detect mutli person, you can add it)

cpm_data.py shows how to use data_transformer.py in caffe.

util.py is the Visualization tools, produced by the Convolutional Pose Machines release

How to use

  • Replace the data_dir to your dataset
  • Refer the data format in example folder to generate your dataset

Cited Convolutional Pose Machine

@inproceedings{wei2016cpm,
    author = {Shih-En Wei and Varun Ramakrishna and Takeo Kanade and Yaser Sheikh},
    booktitle = {CVPR},
    title = {Convolutional pose machines},
    year = {2016}
}

About

This is the python implementation of the datalayer in Convolutional Pose Machines

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages