Jetson Nano and OpenCV: Using a trackbar to adjust blending of image and live video

So another fun project with the jetson nano and openCV! I’ve used the trackbar to adjust the visibility of the image in a window containing a blended image and 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

def nothing():
    pass

cv2.namedWindow('Blended')
cv2.createTrackbar('BlendedValue', 'Blended', 50, 100, nothing)

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 to gray color
cvLogoGray= cv2.cvtColor(cvLogo, cv2.COLOR_BGR2GRAY)

#threshold
_, BGMask= cv2.threshold(cvLogoGray, 180, 255, cv2.THRESH_BINARY)

#not of BGMask
FGMask= cv2.bitwise_not(BGMask)

#and cvLogo, mask-FGMask
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()
    #combining live video and BGMask(thresholded cvLogo)
    BG= cv2.bitwise_and(frame, frame, mask= BGMask)
    #masking coloured cvLogo on love video
    color_mask= cv2.add(BG,FG)
    #getting blend values from trackbar
    BV=cv2.getTrackbarPos('BlendedValue', 'Blended')/100
    BV2=1-BV
    print(BV)
    print(" ")
    #blending cvLogo and live video
    Blended= cv2.addWeighted(frame,BV,cvLogo, BV2, 0)
    cv2.imshow('Blended', Blended)
    cv2.moveWindow('Blended', 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!!