So in this project we’re another step closer to the cool projects! Here I’ve built a color distinguishing using Hue, Saturation and Value.
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:
View on/Download from Github: (LINK)
import cv2
import numpy as np
def nothing(x):
pass
cv2.namedWindow('Trackbars')
cv2.moveWindow('Trackbars', 400, 0)
cv2.createTrackbar('hueLower', 'Trackbars', 50, 179, nothing)
cv2.createTrackbar('hueHigher', 'Trackbars', 100, 179, nothing)
cv2.createTrackbar('satLower', 'Trackbars', 100, 255, nothing)
cv2.createTrackbar('satHigher', 'Trackbars', 255, 255, nothing)
cv2.createTrackbar('valLower', 'Trackbars', 100, 255, nothing)
cv2.createTrackbar('valHigher', 'Trackbars', 255, 255, nothing)
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()
smarties= cv2.imread('smarties.png')
smarties= cv2.resize(smarties, (320, 240))
cv2.imshow('smarties', smarties)
cv2.moveWindow('smarties', 0,0)
hsv= cv2.cvtColor(smarties, cv2.COLOR_BGR2HSV)
hueLow= cv2.getTrackbarPos('hueLower', 'Trackbars')
hueHigh= cv2.getTrackbarPos('hueHigher', 'Trackbars')
satLow= cv2.getTrackbarPos('satLower', 'Trackbars')
satHigh= cv2.getTrackbarPos('satHigher', 'Trackbars')
valLow= cv2.getTrackbarPos('valLower', 'Trackbars')
valHigh= cv2.getTrackbarPos('valHigher', 'Trackbars')
l_b= np.array([hueLow, satLow, valLow])
u_b= np.array([hueHigh, satHigh, valHigh])
FGMask= cv2.inRange(hsv, l_b, u_b)
cv2.imshow('FGMask', FGMask)
cv2.moveWindow('FGMask', 0, 350)
FG= cv2.bitwise_and(smarties, smarties, mask= FGMask)
cv2.imshow('FG', FG)
if cv2.waitKey(1) == ord('q'):
break
cam.release()
cv2.destroyAllWindow()Stay Tuned for upcoming posts on Jetson Nano and AI Projects! Want to be the first to know when a new and amazing post comes up?? Then feel free to subscribe!
Happy Learning!!
