Jetson Nano and OpenCV: Creating watermark on live video

So this was a fun project! I’ve created a watermark on 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. You can check out this video for the project: (LINK)

Code:

Note that code below is in python

View on/Download from Github: (LINK)

import cv2
dispW= 320
dispH=240
flip=2

#load image
cvLogo= cv2.imread('/home/aarushi/Desktop/pyPro/cv.jpg')
cvLogo= cv2.resize(cvLogo, (320,240))
cv2.imshow('Original', cvLogo)
cv2.moveWindow('Original', 0, 300)

#convert cvLogo to gray for thresholding
cvLogoGray= cv2.cvtColor(cvLogo, cv2.COLOR_BGR2GRAY)

#Threshold
_,BGMask= cv2.threshold(cvLogoGray, 180, 255, cv2.THRESH_BINARY)
FGMask= cv2.bitwise_not(BGMask)
FG= cv2.bitwise_and(cvLogo, cvLogo, mask= FGMask)

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)
while True:
    ret, frame= cam.read();
    BG= cv2.bitwise_and(frame, frame, mask= BGMask)
    Blended= cv2.addWeighted(frame, .8, cvLogo, .2, 0)
    FG2= cv2.bitwise_and(Blended, Blended, mask= FGMask)
    watermark= cv2.add(BG, FG2)
    cv2.imshow('WaterMark', watermark)
    cv2.moveWindow('WaterMark', 400, 0)
    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!!