import cv2

import numpy as np

import time

cap = cv2.VideoCapture(0)

while (1):

_, img = cap.read()

# raspberry çözünürlüğü 3280 × 2464 pixels

# 720px ile sınırlandırırsak 720 x 540,87 pixels

img = cv2.resize(img, (720, 540))

hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)

# pencere orta noktaları 360 x 270 px

# window center noktları

wcx = 360

wcy = 270

cv2.circle(img, (wcx, wcy), 5, (255, 255, 255), -1)

yellow_lower = np.array([136, 87, 111], np.uint8)

yellow_upper = np.array([180, 255, 255], np.uint8)

yellow = cv2.inRange(hsv, yellow_lower, yellow_upper)

kernel = np.ones((5, 5), "uint8")

yellow = cv2.dilate(yellow, kernel)

res = cv2.bitwise_and(img, img, mask=yellow)

contours, hierarchy = cv2.findContours(yellow, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)

for pic, contour in enumerate(contours):

cnt = contours[0]

M = cv2.moments(cnt)

# tespit edilen rengin x ve ye coord.

if M["m00"] != 0:

x = int(M["m10"] / M["m00"])

y = int(M["m01"] / M["m00"])

else:

x, y = 0, 0

print(x, y)

cv2.circle(img, (x, y), 5, (255, 255, 255), -1)

area = cv2.contourArea(contour)

if (area > 400):

x, y, w, h = cv2.boundingRect(contour)

img = cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)

cv2.putText(img, "YESIL", (x, y), cv2.FONT_HERSHEY_SIMPLEX, 1.0, (0, 255, 0))

cv2.imshow("Color Tracking", img)

if cv2.waitKey(10) & 0xFF == ord('q'):

cap.release()

cv2.destroyAllWindows()

break