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Here is the original picture from which we will work: Let’s blacken my name, so as not to interfere and translate the picture into black and white. The original image in RGB – each pixel is an array of three values from 0 to 255 when b / w is one value.

So we will significantly reduce the amount of data: img[210:230, 350:440] = (0, 0, 0) gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) Let’s find all objects of white color (this is white text with the names of monsters) ret, threshold1 = cv2.threshold(gray, 252, 255, cv2.THRESH_BINARY) Morphological transformations: • We will filter by the rectangle in size 50×5. This rectangle came up best. • We remove noise inside rectangles with the text (as a matter of fact we paint all between letters white). Knigu dedov endokrinologiya. • Once again, remove the noise, blurring and stretching using a filter. Kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (50, 5)) closed = cv2.morphologyEx(threshold1, cv2.MORPH_CLOSE, kernel) closed = cv2.erode(closed, kernel, iterations=1) closed = cv2.dilate(closed, kernel, iterations=1) Find the middle of the resulting spots (_, centers, hierarchy) = cv2.findContours(closed, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) It works, but it can be done more fun (for example, for monsters whose names are not visible, because they are far away) – with the help of TensorFlow Object Detection, as here, but someday in the next life. Now we point the cursor at the found monster and see if the highlighting has appeared using the cv2.matchTemplate method.

It remains to press the LMB and the attack button. The Click With the search for the monster figured out, the bot can already find targets on the screen and point the mouse at them. To attack the target, you need to click the left mouse button and click “attack” (button “1” can attack the attack).

Right-click to rotate the camera. On the server where I tested the bot, I caused a click through AutoIt, but it somehow did not work. As it turned out, games are protected from auto clickers in many ways: • Search for processes that emulate clicks • Record clicks and determine what color the object the bot is clicking on • Definition of patterns of clicks • Definition of the bot by the frequency of clicks And some applications, like the client of this server, can determine the source of the click at the OS level. (it will be great if someone tells you exactly how).