Jetson Nano and OpenCV: Converting part of live video screen to grayscale!

Soo this project I toyed around with the live video screen and changed a small part of it to gray colour and the rest of it was a normal BGR screen!!

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=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)
while True:
    ret, frame= cam.read()
    roi=frame[50:250, 200:400].copy()
    roi_gray= cv2.cvtColor(roi, cv2.COLOR_BGR2GRAY)
    roi_gray= cv2.cvtColor(roi_gray, cv2.COLOR_GRAY2BGR)
    frame[50:250, 200:400]=roi_gray
    cv2.imshow('nanoCam', frame)
    if cv2.waitKey(1) == ord('q'):
        break
cam.release()
cv2.destroyAllWindows()

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