Building an App for Eye Filters with PoseNet

Pose estimation is a computer vision task for detecting the pose (i.e. It works by detecting a number of keypoints so that we can understand the main parts of the object and estimate its current orientation. Based on such keypoints, we will be able to form the shape of the object in either 2D or 3D. This tutorial covers how to build an Android app that estimates the human pose in standalone RGB images using the pretrained TFLite PoseNet model. The model predicts the locations of 17 keypoints of the human body, including the location of the eyes, nose, shoulders, etc.