Opencv/ColorDetection.py at main · aslaydn/Opencv · GitHub

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import cv2
import numpy as np

framewidth = 640
frameweight = 480
cap = cv2.VideoCapture(0)
cap.set(3, framewidth)
cap.set(4,frameweight)

def empty(x):
    pass

cv2.namedWindow("HSV")
cv2.resizeWindow("HSV",640,240)
cv2.createTrackbar("HUE Min","HSV",0,179,empty) #maximum 179 olabilir.
cv2.createTrackbar("HUE Max","HSV",179,179,empty)
cv2.createTrackbar("SAT Min","HSV",0,255,empty)
cv2.createTrackbar("SAT Max","HSV",255,255,empty)
cv2.createTrackbar("VALUE Min","HSV",0,255,empty)
cv2.createTrackbar("VALUE Max","HSV",255,255,empty)

while True:
    _,img = cap.read()
    imgHsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)

    h_min = cv2.getTrackbarPos("HUE Min","HSV")
    h_max = cv2.getTrackbarPos("HUE Max","HSV")
    s_min = cv2.getTrackbarPos("SAT Min","HSV")
    s_max = cv2.getTrackbarPos("SAT Max","HSV")
    v_min = cv2.getTrackbarPos("VALUE Min","HSV")
    v_max = cv2.getTrackbarPos("VALUE Max","HSV")

    lower = np.array([h_min,s_min,v_min])
    upper = np.array([h_max,s_max,v_max])
    mask = cv2.inRange(imgHsv,lower,upper)
    result = cv2.bitwise_and(img,img,mask=mask)

    mask = cv2.cvtColor(mask,cv2.COLOR_GRAY2BGR)
    hStack = np.hstack([img,mask,result])

    #cv2.imshow("Original",img)
    #cv2.imshow("hsv",imgHsv)
    #cv2.imshow("Mask", mask)
    #cv2.imshow("Result",result)
    cv2.imshow("Horizontal Stacking",hStack)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()