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snowyegret23/macro.py

Created October 8, 2023 12:57
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1번 모니터 특정 영역에서 이미지 인식 후, 이미지에 따라 키보드 입력
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macro.py
import cv2
import mss
import numpy as np
import keyboard
import time
with mss.mss() as sct:
area1 = {"left": 100, "top": 1000, "width": 150, "height": 150, "mon": 1}
area2 = {"left": 200, "top": 1000, "width": 150, "height": 150, "mon": 1}
area3 = {"left": 300, "top": 1000, "width": 150, "height": 150, "mon": 1}
images = {"a": cv2.imread('a.png', cv2.IMREAD_GRAYSCALE),
"b": cv2.imread('b.png', cv2.IMREAD_GRAYSCALE),
"c": cv2.imread('c.png', cv2.IMREAD_GRAYSCALE),
"d": cv2.imread('d.png', cv2.IMREAD_GRAYSCALE)}
def detect_image():
ar_1, ar_2, ar_3 = "", "", ""
for name, img in images.items():
res = cv2.matchTemplate(cv2.cvtColor(np.array(sct.grab(area1)), cv2.COLOR_BGRA2GRAY), img, cv2.TM_CCOEFF_NORMED)
threshold = 0.8
loc = np.where(res >= threshold)
if len(loc[0]) > 0:
ar_1 = name
break
for name, img in images.items():
res = cv2.matchTemplate(cv2.cvtColor(np.array(sct.grab(area2)), cv2.COLOR_BGRA2GRAY), img, cv2.TM_CCOEFF_NORMED)
threshold = 0.8
loc = np.where(res >= threshold)
if len(loc[0]) > 0:
ar_2 = name
break
for name, img in images.items():
res = cv2.matchTemplate(cv2.cvtColor(np.array(sct.grab(area3)), cv2.COLOR_BGRA2GRAY), img, cv2.TM_CCOEFF_NORMED)
threshold = 0.8
loc = np.where(res >= threshold)
if len(loc[0]) > 0:
ar_3 = name
break
keyboard.press_and_release(ar_1)
time.sleep(0.05)
keyboard.press_and_release(ar_2)
time.sleep(0.05)
keyboard.press_and_release(ar_3)
time.sleep(0.05)
while True:
try:
detect_image()
except:
continue
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