In this lesson we show how to track items in OpenCV based on color using the HSV color space. Below is the code we developed in this lesson.
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import cv2 print(cv2.__version__) import numpy as np def nothing(x): pass cv2.namedWindow('Trackbars') cv2.moveWindow('Trackbars',1320,0) cv2.createTrackbar('hueLower', 'Trackbars',50,179,nothing) cv2.createTrackbar('hueUpper', 'Trackbars',100,179,nothing) cv2.createTrackbar('hue2Lower', 'Trackbars',50,179,nothing) cv2.createTrackbar('hue2Upper', 'Trackbars',100,179,nothing) cv2.createTrackbar('satLow', 'Trackbars',100,255,nothing) cv2.createTrackbar('satHigh', 'Trackbars',255,255,nothing) cv2.createTrackbar('valLow','Trackbars',100,255,nothing) cv2.createTrackbar('valHigh','Trackbars',255,255,nothing) dispW=640 dispH=480 flip=2 #Uncomment These next Two Line for Pi Camera 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) #Or, if you have a WEB cam, uncomment the next line #(If it does not work, try setting to '1' instead of '0') #cam=cv2.VideoCapture(0) while True: ret, frame = cam.read() #frame=cv2.imread('smarties.png') cv2.imshow('nanoCam',frame) cv2.moveWindow('nanoCam',0,0) hsv=cv2.cvtColor(frame,cv2.COLOR_BGR2HSV) hueLow=cv2.getTrackbarPos('hueLower', 'Trackbars') hueUp=cv2.getTrackbarPos('hueUpper', 'Trackbars') hue2Low=cv2.getTrackbarPos('hue2Lower', 'Trackbars') hue2Up=cv2.getTrackbarPos('hue2Upper', 'Trackbars') Ls=cv2.getTrackbarPos('satLow', 'Trackbars') Us=cv2.getTrackbarPos('satHigh', 'Trackbars') Lv=cv2.getTrackbarPos('valLow', 'Trackbars') Uv=cv2.getTrackbarPos('valHigh', 'Trackbars') l_b=np.array([hueLow,Ls,Lv]) u_b=np.array([hueUp,Us,Uv]) l_b2=np.array([hue2Low,Ls,Lv]) u_b2=np.array([hue2Up,Us,Uv]) FGmask=cv2.inRange(hsv,l_b,u_b) FGmask2=cv2.inRange(hsv,l_b2,u_b2) FGmaskComp=cv2.add(FGmask,FGmask2) cv2.imshow('FGmaskComp',FGmaskComp) cv2.moveWindow('FGmaskComp',0,530) FG=cv2.bitwise_and(frame, frame, mask=FGmaskComp) cv2.imshow('FG',FG) cv2.moveWindow('FG',700,0) bgMask=cv2.bitwise_not(FGmaskComp) cv2.imshow('bgMask',bgMask) cv2.moveWindow('bgMask',700,530) BG=cv2.cvtColor(bgMask,cv2.COLOR_GRAY2BGR) final=cv2.add(FG,BG) cv2.imshow('final',final) cv2.moveWindow('final',1400,0) if cv2.waitKey(1)==ord('q'): break cam.release() cv2.destroyAllWindows() |