35 lines
1011 B
Python
35 lines
1011 B
Python
import cv2
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import numpy as np
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import pyautogui as pag
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##Inventory Count
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# Take a screenshot and store it in a numpy array
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screenshot = np.array(pag.screenshot(region = (0, 1079, 1920, 1080)))
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screenshot = cv2.cvtColor(screenshot, cv2.COLOR_BGR2GRAY)
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# Load the image to be searched for in grayscale
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image_to_search = cv2.imread('Images/shrimp.png', 0)
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# Get the dimensions of the image to be searched for
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h, w = image_to_search.shape[::-1]
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# Use cv2.matchTemplate() to find the template image within the screenshot
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result = cv2.matchTemplate(screenshot, image_to_search, cv2.TM_CCOEFF_NORMED)
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# Set a threshold value to count only those template images that have a high enough correlation
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threshold = 0.9
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counter = 0
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loc = np.where(result >= threshold)
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for pt in zip(*loc[::-1]):
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cv2.rectangle(screenshot, pt, (pt[0] + w, pt[1] + h), (0, 0, 255), 2)
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counter += 1
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print(counter)
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if counter == 27:
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print('Inventory full, time to drop')
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else:
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print('Inventory not full, keep fishing') |