Jetson Nano and OpenCV: Creating and Using a Trackbar on a Live Video

Soo in this project I’ve made use of a trackbar to move a tiny dot along the x-axis and y-axis of the camera display window for a live Video

Demo:

Things Required:

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

Reference Material:

  1. Video that I followed 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)
while True:
    ret, frame= cam.read()
    xVal=cv2.getTrackbarPos('xVal','nanoCam')
    yVal= cv2.getTrackbarPos('yVal','nanoCam')
    #print(xVal, ',', yVal)
    cv2.circle(frame,(xVal,yVal),10,(255,0,0),-1)
    #nanoCam window created
    cv2.imshow('nanoCam', frame)
    cv2.moveWindow('nanoCam', 0,0)
    if cv2.waitKey(1) == ord('q'):
        break
cam.release()
cv2.destroyAllWindows()        

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Happy Learning!!

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