roi

Overview

This example demonstrate how get the depth information with ROI using openCV function.

Expect Output

Prerequisite

• Hello LIPSEdge SDK

• OpenCV Viewer

Tutorial

• After getting the depth frame and convert to OpenCV Mat, we can easily set an ROI by using OpenCV Rectangle.

x, y, w, h = 160, 80, 320, 240

• Then apply to the depth frame

depthFrame = depth.read_frame()
depthMat = np.frombuffer(depthFrame.get_buffer_as_uint16(), dtype=np.uint16).reshape(depthFrame.height, depthFrame.width, 1)
roiMat = depthColorMap[y:y+h, x:x+w]

• Finally display the two frames

cv2.imshow('Depth', depthColorMap)
cv2.imshow('ROI', roiMat)

Full code

roi.py