Hand Pose Estimation
by SHIVAM GARG
Hand Pose Estimation using Convolutional Pose Machines
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
|INPUT IMAGE||Mention the input image path|
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
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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