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import time | |
import autopy | |
import imutils | |
import cv2 | |
import mss | |
import numpy | |
from scipy.misc import imsave | |
from pymouse import PyMouse | |
m = PyMouse() | |
def click(x,y): | |
m.click(x, y, 1) | |
def f(img): | |
greenLower = (101, 0, 0) | |
greenUpper = (108, 255, 255) | |
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) | |
grnn = cv2.inRange(hsv, (73, 197, 173), (74, 198, 174)) | |
cnts = cv2.findContours(grnn.copy(), cv2.RETR_EXTERNAL, | |
cv2.CHAIN_APPROX_SIMPLE) | |
cnts = cnts[0] if imutils.is_cv2() else cnts[1] | |
if len(cnts) > 0: | |
c = max(cnts, key=cv2.contourArea) | |
x,y,w,h = cv2.boundingRect(c) | |
grnn[y:y+h, x:x+w] = 255 | |
else: | |
return None | |
mask = cv2.inRange(hsv, greenLower, greenUpper) | |
mask = mask * grnn | |
cnts = cv2.findContours(mask.copy(), cv2.RETR_EXTERNAL, | |
cv2.CHAIN_APPROX_SIMPLE) | |
cnts = cnts[0] if imutils.is_cv2() else cnts[1] | |
center = None | |
if len(cnts) > 0: | |
c = max(cnts, key=cv2.contourArea) | |
((x, y), radius) = cv2.minEnclosingCircle(c) | |
M = cv2.moments(c) | |
center = (int(M["m10"] / M["m00"]), int(M["m01"] / M["m00"])) | |
if radius > 10: | |
return center | |
with mss.mss() as sct: | |
monitor = {'top': 0, 'left': 0, 'width': 1920, 'height': 1080} | |
while True: | |
img = numpy.array(sct.grab(monitor)) | |
center = f(img) | |
if not center is None: | |
click(center[0], center[1]) | |
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