Real time pose detection of animals using HRNet
Soham Shanbhag, Dong Eui Chang
We design a machine learning algorithm for detection of the joints of a cat from an image. We compare the accuracy and the speed of the algorithm with weights initialized from a network trained on images of humans and with random initialization of the weights. We also compare five networks with different sizes for speed and accuracy.