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Object detection using HSV.py
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Object detection using HSV.py
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import cv2
import numpy as np
def nothing(x):
pass
cap = cv2.VideoCapture(0)
cv2.namedWindow("Trackbar")
cv2.createTrackbar("L - H", "Trackbar", 0, 179, nothing)
cv2.createTrackbar("L - S", "Trackbar", 0, 255, nothing)
cv2.createTrackbar("L - V", "Trackbar", 0, 255, nothing)
cv2.createTrackbar("U - H", "Trackbar", 179, 179, nothing)
cv2.createTrackbar("U - S", "Trackbar", 255, 179, nothing)
cv2.createTrackbar("U - V", "Trackbar", 255, 179, nothing)
while True:
ret, frame = cap.read()
frame_hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
l_h = cv2.getTrackbarPos("L - H", "Trackbar")
l_s = cv2.getTrackbarPos("L - S", "Trackbar")
l_v = cv2.getTrackbarPos("L - V", "Trackbar")
u_h = cv2.getTrackbarPos("U - H", "Trackbar")
u_s = cv2.getTrackbarPos("U - S", "Trackbar")
u_v = cv2.getTrackbarPos("U - V", "Trackbar")
lower_hsv = np.array([l_h, l_s, l_v])
upper_hsv = np.array([u_h, u_s, u_v])
mask = cv2.inRange(frame_hsv, lower_hsv, upper_hsv)
result = cv2.bitwise_and(frame, frame, mask=mask)
cv2.imshow("Frame", frame)
cv2.imshow("Mask", mask)
cv2.imshow("Result", result)
k = cv2.waitKey(1)
if k == 27:
break
cap.release()
cv2.destroyAllWindows()