Joes fancy image converter

Image-Dict/convert.py

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+from PIL import Image
+import numpy as np
+import os
+
+if os.path.exists("output.py"): # If an existing file exists
+    try:
+        os.remove("output.py") # Remove it
+    except:
+        "Unable to remove file!"
+else: # Otheriwise
+    print("Creating empty file") # We're good!
+
+selected_image = Image.open('image.png') # Could be upgraded to be an input
+pix = selected_image.load() # Load the image
+width, height = selected_image.size # Get the width and height
+output_file = open("output.py", "a") # Set the output file
+output_file.write("image_list = [") # Write the first char
+resolution = int(input("Set your res (default is 2): ")) # Ask the user for the res
+
+list_of_colors = [[0,0,0],[0,0,255],[165,42,42],[0,255,255],[255,215,0],[128,128,128],[0,128,0],[75,0,130],[255,165,0],[255,192,203],[128,0,128],[255,0,0],[238,130,238],[255,255,255],[250,255,0]]
+list_of_names = ["black", "blue",   "brown",   "cyan",     "gold",     "gray",       "green",  "indigo",  "orange",   "pink",      "purple",    "red",    "violet",   "white",      "yellow"]
+
+def closest(colors,color):
+    colors = np.array(colors) # all the colors are now an array
+    color = np.array(color) # the current color is another array
+    distances = np.sqrt(np.sum((colors-color)**2,axis=1)) # get all the distances 
+    index_of_smallest = np.where(distances==np.amin(distances)) # find the array with the smallest distance
+    smallest_distance = colors[index_of_smallest] # Get that distance
+    return smallest_distance #return the closest color
+
+def get_RGB(m_column, m_row):
+    try: # Try getting the value at all
+        try:
+            red, green, blue, alpha = pix[m_column, m_row] # If the image has transparacy, four values will be passed
+        except:
+            red, green, blue = pix[m_column, m_row] # If not, only three (some images)
+    except:
+        red, green, blue = [255, 255, 255] # If unable to get any value at all, defaul to white (255,255,255)
+    rounded_rgb = ((closest(list_of_colors, [red,green,blue])).tolist())[0] # Round the RGB values to the nearest color
+
+    index_in_array = 0 # Index through the array of colors
+    for i in list_of_colors: # For every color in list_of_colors
+        #print(i) # Debug
+        if i == rounded_rgb: # if i in the list of colors matches the rounded RGB value
+            return_color = list_of_names[index_in_array] # Set the color to return to the item in the array with the corrosponding number
+        index_in_array = index_in_array + 1 # Add a number to the index value so we know what string-color we will select
+    return return_color # Finally return the color as a string
+
+for row in range(0, height, resolution): # For every row
+    for column in range(0, width, resolution): # For every column
+        output_color = get_RGB(column, row) # Get the output color
+
+        print("Current Color: " + str(output_color) + ", Current line: " + str(row) + "/" + str(height) + "   ", end="\r") # Inform the user
+        if(output_color != "white"): # If the color is white dont bother printing it
+            output_file.write("\"" + str(column) + " " + str(row) + " " + output_color + "\", ") # Save the list data as text
+output_file.write("""]
+
+# This code autogenerated by joe
+import random
+shuffleDraw = False # Change this to true to enable shuffled draw
+if shuffleDraw:
+    random.shuffle(image_list)
+
+speed(0) # Go at max speed
+resolution = """ + str(resolution) + """ # Set to res of image
+current_progress = 0.0
+last_progress = 0
+print("Starting...")
+for current_pixel in image_list: # For every pixel
+    split_pixel = current_pixel.split() # split into values on " "
+    x = split_pixel[0] # The first value is x
+    y = 400 - int(split_pixel[1]) # The second value is y
+    selectColor = split_pixel[2] # The third value is color
+
+    current_progress = current_progress - 1 # Calculate Percentage
+    percentage = (100 * float(current_progress)/float(len(image_list))) * -1
+    if(last_progress != int(percentage)):
+        print("Progress: " + str(int(percentage)) + "%")
+        last_progress = int(percentage)
+
+    penup() # Bring up the cursor
+    setposition(int(x) - 200, int(y) - 200) # Go to the pixel location (tranformed by 200)
+    pendown() # Begin drawing
+    color(selectColor) # Set the color
+    pensize(resolution * 2) # Set the pen size
+    forward(1) # Go forward
+print("Done") # Done!
+""") # Print the entire interpeter code

Image-Dict/readme.md

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+#You need `numpy` and `PIL` to use this software.
+
+To use: Replace the default image.png with your own image.
+
+Scale your image to a width of 400 (height can be other)
+
+Delete an existing output.py if it exists
+
+Run convert.py
+
+wait for the program to finish, you should see a lot of scrolling text.
+
+Once completed, copy and paste the contents of output.py into codehs
+
+press run
+
+tada!

Image-Dict/requirements.txt

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+numpy==1.17.2
+Pillow==6.2.0