![colorbot reddit colorbot reddit](https://66.media.tumblr.com/0ead401b7d6debe8dc6a72957ec45b87/tumblr_p9zj5cWScO1t85d2eo3_640.png)
So I have all this code that I am not really sure how to actually apply to the task I want to complete. I think what confuses me here is in the first argument to the function the value in the list named image should be pixel I didnt write this, I asked this question to another redditor and this is code they showed me to do that same for all the pixels in a screenshot. So it has to be possible to make sure it does not just add or subtract that error off of only one value. That is because when the pixel in question periodically changes, the amount of change is a small differences between each RGB value, sometimes even with NO change to one or more of the values. The error should be divided among the RGB values. The sum is the error, though I would like to know if this is the right thing to do in-case I DO NOT want to click a pixel that has ALL the error concentrated to ONE RGB value. This is like template code for a program that will find the differences between pixels, square them, add them and the return the sq. This is just the basic color bot, I give one argument to the function which is the path to the saved image which is the pixel the bot is looking for. X, y = pyautogui.locateCenterOnScreen('.png') M Vae poloka nebo skupina strnku na Redditu Zadejte jej celou URL adresu. So close that I am certain that I can choose a very small error such as 5 and the program will easily be able to find and click the images that I- the programmer intended it to. The change is slight and all images on screen seem to change at the same rate and within a similar range. *Reason: this color bot is clicking on images on the screen whose pixel values periodically change. The neural network (we’ll call it the brain) was initially trained to 100 accuracy on a collection of 258. It does this by using a trained neural network, which functions similar to the human brain. I am looking to have my program be able to not just locate and click the pixel given, but also should this pixel not be present, click on a pixel that has a value very close to the given pixel. ColorBot Neural Network uses machine learning (ie., artificial intelligence) to learn which pictures are generally red, green, or blue overall. I know how to make a BASIC color bot, but I want to make one that does a little more.