Full Code of Nekose/Mouseomate for AI

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Repository: Nekose/Mouseomate
Branch: master
Commit: a35b0dc95e80
Files: 9
Total size: 17.8 KB

Directory structure:
gitextract_z12f3spn/

├── .gitignore
├── LICENSE
├── README.md
├── images/
│   └── __init__.py
├── main.py
├── requirements.txt
└── src/
    ├── image_handler.py
    ├── mouse_automate_black.py
    └── mouse_automate_color.py

================================================
FILE CONTENTS
================================================

================================================
FILE: .gitignore
================================================
/src/__init__.py
*.pyc


================================================
FILE: LICENSE
================================================
Creative Commons Legal Code

CC0 1.0 Universal

	CREATIVE COMMONS CORPORATION IS NOT A LAW FIRM AND DOES NOT PROVIDE
	LEGAL SERVICES. DISTRIBUTION OF THIS DOCUMENT DOES NOT CREATE AN
	ATTORNEY-CLIENT RELATIONSHIP. CREATIVE COMMONS PROVIDES THIS
	INFORMATION ON AN "AS-IS" BASIS. CREATIVE COMMONS MAKES NO WARRANTIES
	REGARDING THE USE OF THIS DOCUMENT OR THE INFORMATION OR WORKS
	PROVIDED HEREUNDER, AND DISCLAIMS LIABILITY FOR DAMAGES RESULTING FROM
	THE USE OF THIS DOCUMENT OR THE INFORMATION OR WORKS PROVIDED
	HEREUNDER.

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================================================
FILE: README.md
================================================
Mouseomate V0.8, Now with Color!

Original Code by Nekose

Color Implementation and GUI by Quadrum1

formating contributions by Logistic-bot


To use, run main.py. The image you would like to draw must be inside the 'images' folder. 

To switch between color or BW, change the mode variable near the top of main. If using color, specify the program you would like to draw with to specify color controls. (currently only supports MS Paint)

If running in black and white, images should ideally be vector-like, with limited shading or colorpallet (Although the program will attempt to monochrome any image given).

***
Example Of Use:

* After running, a prompt will ask which file to open. Once open a dialog box will appear asking for the following:

What is the approximate pixel size you would like to output?> 500
What is the approximate brush size in pixels? (Use 1 for one to one drawing)>? 1

* Once the parameters have been provided, the following message will be displayed:

Preview image loaded. Enter to begin 3 second countdown to start, N to abort. Once image has started, pulling mouse to the upper left corner will abort the program.

* Hitting enter will start a 3 second countdown, afterwhich the program will take control of the mouse, using the current position as the upper left corner of the image.

***

Known issues:
* Output speed appears to be limited by the windows input buffer. You may need to wait till the program finishes running before the image apppears. If you have CPU speed issues, you can try increasing "lsleep" and "rsleep" values at the top of main.py.

To Do:
* investigate better drawing algorithms (Line tracing with cv2.HoughLinesP()?)


================================================
FILE: images/__init__.py
================================================


================================================
FILE: main.py
================================================
import time
import sys
import os
from easygui import multenterbox

cwd = os.getcwd()
sys.path.append(cwd+'/src')

from image_handler import Image_handler
from mouse_automate_black import Mouseomate as Mouseomate_black
from mouse_automate_color import Mouseomate as Mouseomate_color

mode = "black" # "color", "black"
app = "paint" # What application are you drawing with?

os.chdir("images")


lsleep = 0.002 #adujust this to change pause time at end of line (recommend .002)
rsleep = 0.025 #adujust this to change pause time at end of row (recommend .025)
imagename = Image_handler.get_image()
handler = Image_handler(imagename)
message = "Resizevalue: What is the approximate pixel size you would like to output?\nOffset: What is the approximate brush size in pixels? (1 for one to one drawing)"
resizevalue, offset = multenterbox(message,"Mouseomate", ["Resizevalue","Offset"])
resizevalue = int(resizevalue) if resizevalue else 100
offset = int(offset) if offset else 1
resizevalue = resizevalue / offset
handler.convert_bandw(mode)
handler.resize(resizevalue)
	
handler.im.show()
returnkey = None
while returnkey == None:
	print("Preview image loaded. Enter to begin 3 second countdown to start, N to abort. Once image has started, pulling mouse to any corner will abort the program.")
	returnkey = input()
	returnkey = returnkey.lower()
	if returnkey == 'n':
		exit()
	if returnkey == 'i':
		handler.invert(imagename)
		handler.convert_bandw(mode)
		resizevalue = resizevalue / offset
		handler.resize(resizevalue)
		handler.im.show()
		returnkey = None

time.sleep(3)
array = handler.update_array()
if mode == "color":
	Mouseomate_color.image_to_lines(array, offset, rsleep, lsleep, app)
elif mode == "black":
	Mouseomate_black.image_to_lines(array, offset, rsleep, lsleep)
		
repeat = 'y'
while repeat == 'y':
	repeat = input("Y to redraw after 3 sec pause, or enter to exit")
	repeat = repeat.lower()
	if repeat == 'y':
		time.sleep(3)
		if mode == "color":
			Mouseomate_color.image_to_lines(array, offset, rsleep, lsleep, app)
		elif mode == "black":
			Mouseomate_black.image_to_lines(array, offset, rsleep, lsleep)
	else:
		exit()



================================================
FILE: requirements.txt
================================================
MouseInfo==0.1.3
numpy==1.22.0
pandas==1.0.3
Pillow==9.0.1
PyAutoGUI==0.9.50
PyGetWindow==0.0.8
PyMsgBox==1.0.7
pyperclip==1.8.0
PyRect==0.1.4
PyScreeze==0.1.26
python-dateutil==2.8.1
PyTweening==1.0.3
pytz==2020.1
six==1.14.0
easygui==0.98.1


================================================
FILE: src/image_handler.py
================================================
from PIL import Image, ImageFilter, ImageOps
import numpy as np
from easygui import fileopenbox

class Image_handler(object):
	def __init__(self,image):
		self.im = Image.open(image)

	@staticmethod
	def get_image() -> str:
		"""
		Ask's users the name of the file to be used
		:return:
		a string of the file name
		"""
		path = fileopenbox()
		return path

	def convert_bandw(self,mode) -> None:
		"""
		converts image to a black and white bit per pixel image
		:return:
		"""
		if mode == "color":
			self.im = self.im.convert(mode='RGB',dither=None)
		elif mode == "black":
			self.im = self.im.convert(mode='1',dither=None)

	def invert(self,image) -> None:
		"""
		Returns a color inverted image file
		:return:
		"""
		self.im = ImageOps.invert(Image.open(image))

	def resize(self,value:int) -> None:
		"""
		resizes image to fit withing an X by X square
		:param value:
		Size of the square input field
		:return:
		"""
		horizontalsize, verticalsize = self.im.size
		if horizontalsize > verticalsize:
			conversion = horizontalsize / value
			self.im = self.im.resize((int(horizontalsize / conversion), int(verticalsize / conversion)))
		else:
			conversion = verticalsize / value
			self.im = self.im.resize((int(horizontalsize / conversion), int(verticalsize / conversion)))

	def update_array(self) -> np.array:
		"""
		Converts image into a numpy array of bools
		:return:
		"""
		array = np.array(self.im)
		return array






================================================
FILE: src/mouse_automate_black.py
================================================
import numpy
import pyautogui
import time	  
class Mouseomate(object):
	pyautogui.PAUSE = 0.00 #useful
	pyautogui.FAILSAFE = True

	@staticmethod
	def image_to_lines(image_array: numpy.array, offset:int, rsleep:int, lsleep:int) -> None:
		"""
		Converts an image array to mouseclicks.
		:param image_array:
		A numpy array of bools, where False represents a click, and True represents no click.
		:param offset:
		An int which provides spacing between each pixel in image_array. Usefull to adjust for brush size used in whatever this will be outputting for.
		:param rlseep:
		int which designates how long in second the mouse will take drawing a line
		:param rsleep:
		int which designates how long in seconds to pause at end of row
		:return:
		"""
		startpositionx,startpositiony = pyautogui.position()
		for row in image_array:
			xoffset = 0
			alreadydrawing = False
			for value in row:
				if not value.all(): #Need to draw
					if alreadydrawing == True:
						xoffset += offset
					else:
						startline = startpositionx + xoffset
						alreadydrawing = True
						xoffset += offset
				if value.all(): #End of line aka. white begins
					if alreadydrawing == False:
						xoffset += offset
					else:
						pyautogui.moveTo(startline,startpositiony)
						pyautogui.dragTo(startpositionx + xoffset, startpositiony,duration=lsleep, button = 'left')
						time.sleep(lsleep)
						alreadydrawing = False
						xoffset += offset
			if not value.all():
				if alreadydrawing == True:
					pyautogui.moveTo(startline, startpositiony)
					pyautogui.dragTo(startpositionx + xoffset, startpositiony, duration=lsleep, button ='left')
					time.sleep(lsleep)
					xoffset += offset
			startpositiony += offset
			time.sleep(rsleep)
			

================================================
FILE: src/mouse_automate_color.py
================================================
import numpy
import pyautogui
import time

def closest_color(color, palette):

	r1, g1, b1 = color
	if r1 == 255 and g1 == 105 and b1 == 180:#Failsafe for last color drawn
		cc = r1, g1, b1
		return cc # (255, 105, 180)
	closest_dis = 10000
	cc = 0, 0, 0
	for r2, g2, b2 in palette:
		dis = ((r1 - r2) ** 2 + (g1 - g2) ** 2 + (b1 - b2) ** 2) ** 0.5
		if dis < closest_dis:
			closest_dis = dis
			cc = r2, g2, b2
	return cc
	

def change_color(color,app):
	if color == (255, 105, 180): #Failsafe, needs to be reworked, this should only be temporary
		i = 0
	else:
		i = palette[app][0].index(color)
		
	if app == "paint": 
		"""
		This system to change colors is suboptimal, as different screens have the buttons at different locations! 
		Using json data storage to store these would be better as different subroutines could access them, for example a color mapper.
		"""
		if i <= 9:
			x = i*22 + 878	  # Top row
			y = 58
		else:
			x = (i-10)*22 + 878	  # Bottom row
			y = 82
	else:
		raise ValueError("No color data found for application {}!".format(app))
	pyautogui.mouseUp()
	pyautogui.click(x=x, y=y)

# All color buttons for paint from left to right, top to bottom.
paints = ((0, 0, 0),(127,127,127),(136,0,21),(237,28,36),(255,127,39),(255,242,0),(34,177,76),(0,162,232),(63,72,204),(163,73,164),
		  (255, 255, 255),(195,195,195),(185,122,87),(255,174,201),(255,201,14),(239,228,176),(181,230,29),(153,217,234),(112,146,190),(200,191,231))	
		
palette = {"paint": [paints,paints[10]]}	# Key is the application name which is specified in main.py
		  
class Mouseomate(object):
	pyautogui.PAUSE = 0.00 #useful
	pyautogui.FAILSAFE = True

	@staticmethod
	def image_to_lines(image_array: numpy.array, offset:int, rsleep:int, lsleep:int, app:str) -> None:
		"""
		Converts an image array to mouseclicks.
		:param image_array:
		A numpy array of bools, where False represents a click, and True represents no click.
		:param offset:
		An int which provides spacing between each pixel in image_array. Usefull to adjust for brush size used in whatever this will be outputting for.
		:param rlseep:
		int which designates how long in second the mouse will take drawing a line
		:param rsleep:
		int which designates how long in seconds to pause at end of row
		:return:
		"""
		startpositionx,startpositiony = pyautogui.position()
		for row in image_array:
			xoffset = 0
			white = palette[app][1]
			alreadydrawing = [white,0,0] # Color, starting xoffset, offsets in that line
			row[-1] = [255,105,180] #Failsafe for last color drawn
			# Without it, the last color in a row would not be drawn as the script would skip it, needs fixing!
			for value in row:	
				closest = closest_color(value,palette[app][0])
				if closest == white:
					alreadydrawing[0] = closest
					xoffset += offset
					continue
					
				if alreadydrawing[0] == closest: # Is the current color the same color as the last one checked?
					alreadydrawing[2] += offset 
					xoffset += offset
					continue
			
				alreadydrawing[0] = closest # Define new color

				# Draw line with old color 
				pyautogui.mouseUp()
				pyautogui.moveTo(startpositionx + alreadydrawing[1], startpositiony) #Draw the full line of the last color
				pyautogui.mouseDown()
				pyautogui.dragTo(startpositionx + alreadydrawing[1] + alreadydrawing[2], startpositiony, duration=lsleep, button = 'left')
				pyautogui.mouseUp()
				
				# Define new values for next line
				alreadydrawing[1] = xoffset
				alreadydrawing[2] = 0
				
				# Change the color to the new color
				change_color(closest,app)
					
				time.sleep(lsleep)
				xoffset += offset

			pyautogui.mouseUp()
			change_color(white,app)
			startpositiony += offset
			pyautogui.mouseUp()
			pyautogui.moveTo(startpositionx, startpositiony)
			time.sleep(rsleep)
			# Might have overdone is with mouseUp(), but paint had some problems with recognizing the mouse and handeled it as if it were still drawing, creating some... interesting replications




Download .txt
gitextract_z12f3spn/

├── .gitignore
├── LICENSE
├── README.md
├── images/
│   └── __init__.py
├── main.py
├── requirements.txt
└── src/
    ├── image_handler.py
    ├── mouse_automate_black.py
    └── mouse_automate_color.py
Download .txt
SYMBOL INDEX (13 symbols across 3 files)

FILE: src/image_handler.py
  class Image_handler (line 5) | class Image_handler(object):
    method __init__ (line 6) | def __init__(self,image):
    method get_image (line 10) | def get_image() -> str:
    method convert_bandw (line 19) | def convert_bandw(self,mode) -> None:
    method invert (line 29) | def invert(self,image) -> None:
    method resize (line 36) | def resize(self,value:int) -> None:
    method update_array (line 51) | def update_array(self) -> np.array:

FILE: src/mouse_automate_black.py
  class Mouseomate (line 4) | class Mouseomate(object):
    method image_to_lines (line 9) | def image_to_lines(image_array: numpy.array, offset:int, rsleep:int, l...

FILE: src/mouse_automate_color.py
  function closest_color (line 5) | def closest_color(color, palette):
  function change_color (line 21) | def change_color(color,app):
  class Mouseomate (line 49) | class Mouseomate(object):
    method image_to_lines (line 54) | def image_to_lines(image_array: numpy.array, offset:int, rsleep:int, l...
Condensed preview — 9 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (20K chars).
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    "path": "LICENSE",
    "chars": 6952,
    "preview": "Creative Commons Legal Code\n\nCC0 1.0 Universal\n\n\tCREATIVE COMMONS CORPORATION IS NOT A LAW FIRM AND DOES NOT PROVIDE\n\tLE"
  },
  {
    "path": "README.md",
    "chars": 1679,
    "preview": "Mouseomate V0.8, Now with Color!\n\nOriginal Code by Nekose\n\nColor Implementation and GUI by Quadrum1\n\nformating contribut"
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    "path": "images/__init__.py",
    "chars": 0,
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    "path": "main.py",
    "chars": 2145,
    "preview": "import time\nimport sys\nimport os\nfrom easygui import multenterbox\n\ncwd = os.getcwd()\nsys.path.append(cwd+'/src')\n\nfrom i"
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  {
    "path": "requirements.txt",
    "chars": 243,
    "preview": "MouseInfo==0.1.3\nnumpy==1.22.0\npandas==1.0.3\nPillow==9.0.1\nPyAutoGUI==0.9.50\nPyGetWindow==0.0.8\nPyMsgBox==1.0.7\npypercli"
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  {
    "path": "src/image_handler.py",
    "chars": 1440,
    "preview": "from PIL import Image, ImageFilter, ImageOps\nimport numpy as np\nfrom easygui import fileopenbox\n\nclass Image_handler(obj"
  },
  {
    "path": "src/mouse_automate_black.py",
    "chars": 1739,
    "preview": "import numpy\nimport pyautogui\nimport time\t  \nclass Mouseomate(object):\n\tpyautogui.PAUSE = 0.00 #useful\n\tpyautogui.FAILSA"
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]

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This page contains the full source code of the Nekose/Mouseomate GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 9 files (17.8 KB), approximately 4.9k tokens, and a symbol index with 13 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.

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