palette_mask.py

from PIL import Image
import numpy as np


PALETTE = [0, 0, 255, 238, 0, 238, 239, 0, 239, 240, 0, 240, 241, 0, 241, 242, 0, 242, 243, 0, 243, 244, 0, 244, 245, 0, 245, 246, 0, 246, 168, 168, 168, 184, 184, 184, 200, 200, 200, 216, 216, 216, 232, 232, 232, 252, 252, 252, 52, 60, 72, 68, 76, 92, 88, 96, 112, 108, 116, 132, 132, 140, 152, 156, 160, 172, 176, 184, 196, 204, 208, 220, 48, 44, 4, 64, 60, 12, 80, 76, 20, 96, 92, 28, 120, 120, 64, 148, 148, 100, 176, 176, 132, 204, 204, 168, 100, 100, 100, 116, 116, 116, 104, 80, 44, 124, 104, 72, 152, 132, 92, 184, 160, 120, 212, 188, 148, 244, 220, 176, 132, 132, 132, 88, 4, 16, 112, 16, 32, 136, 32, 52, 160, 56, 76, 188, 84, 108, 204, 104, 124, 220, 132, 144, 236, 156, 164, 252, 188, 192, 252, 208, 0, 252, 232, 60, 252, 252, 128, 76, 40, 0, 96, 60, 8, 116, 88, 28, 136, 116, 56, 156, 136, 80, 176, 156, 108, 196, 180, 136, 68, 24, 0, 96, 44, 4, 128, 68, 8, 156, 96, 16, 184, 120, 24, 212, 156, 32, 232, 184, 16, 252, 212, 0, 252, 248, 128, 252, 252, 192, 32, 4, 0, 64, 20, 8, 84, 28, 16, 108, 44, 28, 128, 56, 40, 148, 72, 56, 168, 92, 76, 184, 108, 88, 196, 128, 108, 212, 148, 128, 8, 52, 0, 16, 64, 0, 32, 80, 4, 48, 96, 4, 64, 112, 12, 84, 132, 20, 104, 148, 28, 128, 168, 44, 64, 64, 64, 44, 68, 32, 60, 88, 48, 80, 104, 60, 104, 124, 76, 128, 148, 92, 152, 176, 108, 180, 204, 124, 16, 52, 24, 32, 72, 44, 56, 96, 72, 76, 116, 88, 96, 136, 108, 120, 164, 136, 152, 192, 168, 184, 220, 200, 32, 24, 0, 56, 28, 0, 80, 80, 80, 88, 52, 12, 104, 64, 24, 124, 84, 44, 140, 108, 64, 160, 128, 88, 76, 40, 16, 96, 52, 24, 116, 68, 40, 136, 84, 56, 164, 96, 64, 184, 112, 80, 204, 128, 96, 212, 148, 112, 224, 168, 128, 236, 188, 148, 80, 28, 4, 100, 40, 20, 120, 56, 40, 140, 76, 64, 160, 100, 96, 184, 136, 136, 36, 40, 68, 48, 52, 84, 64, 64, 100, 80, 80, 116, 100, 100, 136, 132, 132, 164, 172, 172, 192, 212, 212, 224, 48, 48, 48, 64, 44, 144, 88, 64, 172, 104, 76, 196, 120, 88, 224, 140, 104, 252, 160, 136, 252, 188, 168, 252, 0, 24, 108, 0, 36, 132, 0, 52, 160, 0, 72, 184, 0, 96, 212, 24, 120, 220, 56, 144, 232, 88, 168, 240, 128, 196, 252, 188, 224, 252, 16, 64, 96, 24, 80, 108, 40, 96, 120, 52, 112, 132, 80, 140, 160, 116, 172, 192, 156, 204, 220, 204, 240, 252, 172, 52, 52, 212, 52, 52, 252, 52, 52, 252, 100, 88, 252, 144, 124, 252, 184, 160, 252, 216, 200, 252, 244, 236, 72, 20, 112, 92, 44, 140, 112, 68, 168, 140, 100, 196, 168, 136, 224, 200, 176, 248, 208, 184, 255, 232, 208, 252, 60, 0, 0, 92, 0, 0, 128, 0, 0, 160, 0, 0, 196, 0, 0, 224, 0, 0, 252, 0, 0, 252, 80, 0, 252, 108, 0, 252, 136, 0, 252, 164, 0, 252, 192, 0, 252, 220, 0, 252, 252, 0, 204, 136, 8, 228, 144, 4, 252, 156, 0, 252, 176, 48, 252, 196, 100, 252, 216, 152, 8, 24, 88, 12, 36, 104, 20, 52, 124, 28, 68, 140, 40, 92, 164, 56, 120, 188, 72, 152, 216, 100, 172, 224, 92, 156, 52, 108, 176, 64, 124, 200, 76, 144, 224, 92, 224, 244, 252, 200, 236, 248, 180, 220, 236, 132, 188, 216, 88, 152, 172, 16, 16, 16, 32, 32, 32, 32, 68, 112, 36, 72, 116, 40, 76, 120, 44, 80, 124, 48, 84, 128, 72, 100, 144, 100, 132, 168, 216, 244, 252, 96, 128, 164, 68, 96, 140, 76, 24, 8, 108, 44, 24, 144, 72, 52, 176, 108, 84, 210, 146, 126, 252, 60, 0, 252, 84, 0, 252, 104, 0, 252, 124, 0, 252, 148, 0, 252, 172, 0, 252, 196, 0, 64, 0, 0, 255, 0, 0, 48, 48, 0, 64, 64, 0, 80, 80, 0, 255, 255, 0, 148, 148, 148, 247, 0, 247, 248, 0, 248, 249, 0, 249, 250, 0, 250, 251, 0, 251, 252, 0, 252, 253, 0, 253, 254, 0, 254, 255, 0, 255, 255, 255, 255]


# Function to desaturate a color
def desaturate_color(color):
    avg = int(np.mean(color))  # Calculate the average of the RGB values
    return avg, avg, avg  # Return the desaturated color


def process_image(input_image_path):
    # Open the input image
    if input_image_path[-4:] == ".png":
        img = Image.open(input_image_path)
    else:
        img = Image.open(input_image_path + ".png")

    # Define the target colors
    cc1_palette_colors = [
        198,
        199,
        200,
        201,
        202,
        203,
        204,
        205,
    ]

    cc1_mask_color = 202

    preserve_palette_colors = [
        239,
        240,
        241,
        242,
        243,
        244,
        232,
        233,
        234,
        235,
        236,
        237,
        238,
    ]

    # Create an array of the image pixels
    img_data = np.array(img)

    # Create a blue background image
    blue_bg = np.array([0], dtype=np.uint8)
    result_img_data = np.full_like(img_data, blue_bg, dtype=np.uint8)

    for color in preserve_palette_colors:
        mask = (img_data == color)
        result_img_data[mask] = color  # Paste same color into mask

    for color in cc1_palette_colors:
        color_mask = (img_data == color)
        result_img_data[color_mask] = cc1_mask_color  # Paste cc1 mask color into mask

    # Convert the result back to an image
    result_img = Image.fromarray(result_img_data, mode="P")
    result_img.putpalette(data=PALETTE)

    mask_path = input_image_path + "--palette--mask.png"
    # Save the resulting image
    result_img.save(mask_path)
    print(f"Processed mask saved to {mask_path}")
"""
    bpp_img_data = np.array(bpp_img)
    for color in transparent_colors:
        mask = np.all(bpp_img_data[:, :, :3] == color, axis=-1)  # Find pixels that match the color
        bpp_img_data[mask] = (0, 0, 0, 0)  # Set them to fully transparent

    # Desaturate the cc1_colors
    for cc_color in cc1_colors:
        # Get a mask for pixels that match each color
        mask = np.all(bpp_img_data[:, :, :3] == cc_color, axis=-1)
        desaturated_color = desaturate_color(cc_color)  # Get the desaturated color
        bpp_img_data[mask, :3] = desaturated_color  # Apply desaturation to the RGB channels

    bpp_result_img = Image.fromarray(bpp_img_data)

    path = input_image_path + "--32bpp.png"
    bpp_result_img.save(path)
    print(f"Processed 32bpp saved to {path}")"""

# Example usage
input_image_path = input('Input image path of object\n(example: infra06, infra06.png)\n> ')  # Provide the input image path

process_image(input_image_path)