Jetson Nano and OpenCV: Drawing a customisable rectangle on a live video using trackbars

So in this project I’ve learnt to draw a customisable rectangle on a live video using trackbars.

Demo:

Things Required:

  1. Jetson Nano
  2. Keyboard
  3. Mouse
  4. HDMI Screen
  5. Raspberry Pi Camera
  6. External Power Supply

Reference Material:

  1. Got this one on my own!!! You can this video for this project: (LINK)

Code:

Note that code below is in python

View on/Download from Github: (LINK)

import cv2

def nothing():
    pass

dispW=640
dispH=480
flip=2
camSet='nvarguscamerasrc !  video/x-raw(memory:NVMM), width=3264, height=2464, format=NV12, framerate=21/1 ! nvvidconv flip-method='+str(flip)+' ! video/x-raw, width='+str(dispW)+', height='+str(dispH)+', format=BGRx ! videoconvert ! video/x-raw, format=BGR ! appsink'
cam=cv2.VideoCapture(camSet)
cv2.namedWindow('nanoCam')
cv2.createTrackbar('xVal','nanoCam',0,dispW,nothing)
cv2.createTrackbar('yVal','nanoCam',0,dispH,nothing)
cv2.createTrackbar('width','nanoCam',0,dispW,nothing)
cv2.createTrackbar('height','nanoCam',0,dispH, nothing)

while True:
    ret, frame=cam.read()
    xVal= cv2.getTrackbarPos('xVal','nanoCam')
    yVal= cv2.getTrackbarPos('yVal','nanoCam')
    width= cv2.getTrackbarPos('width','nanoCam')
    height= cv2.getTrackbarPos('height', 'nanoCam')
    cv2.rectangle(frame, (xVal,yVal),(xVal+width,yVal+height),(0,255,0),4)
    cv2.imshow('nanoCam',frame)
    if cv2.waitKey(1)==ord('q'):
        break
cam.release()
cv2.destroyAllWindows()

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Happy Learning!!

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