{"id":39,"date":"2021-09-13T19:52:17","date_gmt":"2021-09-13T19:52:17","guid":{"rendered":"http:\/\/ouyangminwei.com\/?p=39"},"modified":"2021-10-04T15:03:32","modified_gmt":"2021-10-04T15:03:32","slug":"lyto-different-color-plug-in","status":"publish","type":"post","link":"https:\/\/ouyangminwei.com\/index.php\/2021\/09\/13\/lyto-different-color-plug-in\/","title":{"rendered":"Lyto-Different-Color Plug-in"},"content":{"rendered":"\n
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Lyto-Different-Color<\/strong> It’s basically a simple color recognition game, when I saw this game for the first time, I had the idea of using python<\/strong> and opencv <\/strong>to write this game assistant.<\/p>\n\n\n\n

so first we need python, If you don’t know how to download python, you can go to this page<\/p>\n\n\n\n

http:\/\/ouyangminwei.com\/index.php\/2021\/09\/13\/how-to-download-python-in-windows\/<\/a><\/p>\n\n\n\n

We need opencv <\/strong>and pillow <\/strong>for image processing, numpy <\/strong>for array and mss <\/strong>for screenshot.<\/p>\n\n\n\n

pip install numpy\npip install opencv-python\npip install pillow\npip install mss==2.0.22<\/code><\/pre>\n\n\n\n
Next, we need to get the game screen<\/p>\n\n\n\n
# select screen range\nmon = {'top': 179, 'left': 706, 'width': 1214-706, 'height': 1080-179}\n\nsct = mss()\nsct.get_pixels(mon)\n\nwhile True:\n    # transform the screen information to numpy array\n    img = np.array(Image.frombytes('RGB', (sct.width, sct.height), sct.image))\n\n    # show the screen via opencv\n    cv2.imshow('test', np.array(img))\n    if cv2.waitKey(25) & 0xFF == ord('q'):\n        cv2.destroyAllWindows()\n        break<\/code><\/pre>\n\n\n\n
I want the program to find the ball in the screen first, and then get the color of the center of the ball, so that it can find the ball with a different color, there is a funcction in opencv, call HoughCircles, it can help us to find the circle in the image.<\/p>\n\n\n\n
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The usage is very simple, just throw the image into the function, well… and some parameters<\/p>\n\n\n\n
# transform the image into gray scale to speed up the calculation\ngray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n# Houghcircles\ncircles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT,1.2,10)\n\n# circles will be something likes \n# [(x1, y1, r1),(x1, y1, r1) ...]\n# where x1 y1 is the position of circle's center and r is the radius<\/code><\/pre>\n\n\n\n
with circle’s center, we can get correspondging color<\/p>\n\n\n\n
color = []\n# loop every circle\nfor (x, y, r) in circles:\n    # store the circle's center color into 'colors'\n    colors.append(list(img[y,x,:]))<\/code><\/pre>\n\n\n\n
I write a function to find the different one, (there must be a better way of writing, but I only use a very dumb way)<\/p>\n\n\n\n
def find_different(arr):\n    for num,i in enumerate(arr):\n        if (arr.count(i)==1):\n            return num\n    else:\n        return 0<\/code><\/pre>\n\n\n\n
At this point, we are done. All we need is to put them all together and draw the balls of different colors.<\/p>\n\n\n\n