extends RefCounted var converter := preload("../converter.gd").new() var transparency := false func how_many_divisions(colors_count: int) -> int: return int(ceili(pow(colors_count, 1.0 / 4.0))) func generate_colors(colors_count: int) -> Array: var divisions_count: int = how_many_divisions(colors_count) var colors: Array = [] for a in range(divisions_count): for b in range(divisions_count): for g in range(divisions_count): for r in range(divisions_count): colors.append( [ Vector3( (255.0 / divisions_count) * r, (255.0 / divisions_count) * g, (255.0 / divisions_count) * b ), (255.0 / divisions_count) * a ] ) return colors func find_nearest_color(palette_color: Vector3, image_data: PackedByteArray) -> Array: var nearest_color = null var nearest_alpha = null for i in range(0, image_data.size(), 4): var color := Vector3(image_data[i], image_data[i + 1], image_data[i + 2]) # detect transparency if image_data[3] == 0: transparency = true if ( (nearest_color == null) or ( palette_color.distance_squared_to(color) < palette_color.distance_squared_to(nearest_color) ) ): nearest_color = color nearest_alpha = image_data[i + 3] return [nearest_color, nearest_alpha] ## Moves every color from palette colors to the nearest found color in image func enhance_colors(image: Image, palette_colors: Array) -> Array: var data := image.get_data() for i in range(palette_colors.size()): var nearest_color := find_nearest_color(palette_colors[i][0], data) palette_colors[i] = nearest_color return palette_colors func to_color_array(colors: Array) -> Array: var result := [] for v in colors: result.append([v[0].x, v[0].y, v[0].z]) return result ## Quantizes to gif ready codes func quantize(image: Image) -> Array: var colors: Array = generate_colors(256) var tmp_image := Image.new() tmp_image.copy_from(image) tmp_image.resize(32, 32) colors = enhance_colors(tmp_image, colors) colors = to_color_array(colors) var data: PackedByteArray = converter.get_similar_indexed_datas(image, colors) return [data, colors, transparency]