So this project is quite similar to the last one. I’ve used a track-bar to adjust the visibility of a watermark on a live video.
Demo:
Things Required:
- Jetson Nano
- Keyboard
- Mouse
- HDMI Screen
- Raspberry Pi Camera
- External Power Supply
Reference Material:
- 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
#creating a window 'watermark'
cv2.namedWindow('WaterMark')
cv2.createTrackbar('BlendedVal', 'WaterMark', 50, 100, nothing)
dispW= 320
dispH= 240
flip=2
#loading an 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 grayscale
cvLogoGray= cv2.cvtColor(cvLogo, cv2.COLOR_BGR2GRAY)
#threshold
_,BGMask= cv2.threshold(cvLogoGray, 180, 255, cv2.THRESH_BINARY)
#black-->white (bitwise not on BGMask)
FGMask= cv2.bitwise_not(BGMask)
#Colour on 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()
#Black logo on live video
BG= cv2.bitwise_and(frame, frame, mask= BGMask)
#get BlendedVal from trackbar
BV=cv2.getTrackbarPos('BlendedVal', 'WaterMark')/100
BV2=1-BV
#Blend frame and cvLogo
Blended= cv2.addWeighted(frame, BV, cvLogo, BV2, 0)
#creating a blended and fgmask and
FG2= cv2.bitwise_and(Blended, Blended, mask= FGMask)
#watermark
watermark= cv2.add(BG,FG2)
cv2.imshow('nanoCam', frame)
cv2.moveWindow('nanoCam', 0,0)
cv2.imshow('WaterMark', watermark)
cv2.moveWindow('WaterMark', 400,0)
if cv2.waitKey(1)==ord('q'):
break
cam.release()
cv2.destroyAllWindows()
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