ID: 5e1ac97a708f02060d2f8f33

Hand Pose Estimation

by SHIVAM GARG

Hand Pose Estimation using Convolutional Pose Machines


License: Other

Tags: CPM Tensorflow CNN Convolution Pose Machines Hand pose Estimation

 Model stats and performance
Dataset Used View
Framework Tensorflow
OS Used Linux
Publication View
Inference time in seconds per sample.

Screenshots


What is it?

Convolutional Pose Machines a sequential architecture that composed of convolutional networks which directly operate on belief maps from previous stages, producing increasingly refined estimates for part locations. In this Example a CPM is used to detect hand pose.

HOW TO USE?

To run The Inference Script run this command

ARGUMENTS DETAILS
INPUT IMAGE Mention the input image path

python run.py tests/hand_sample.png

See the results in result.jpg

WHAT ARE THE REQUIREMENTS

To get all the requirements and dependencies installed run the command

For GPU - pip install -r gpu_requirements.txt

For CPU - pip install -r cpu_requirements.txt

Author View Profile

SHIVAM GARG
New Delhi, India
Pro
41
LEVEL

5177 Profile
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A philosophy student cleverly disguised as a Coax Deep Learning engineer spending whole day, practically every day, experimenting with TensorFlow,Pytorch, and Caffe; dabbling with Python and C++; and drinking a wide variety of Coffee everyday.

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