2 files changed, 251 insertions, 0 deletions
diff --git a/src/addons/GifMaker/godot-gdgifexporter/gdgifexporter/quantization/median_cut.gd b/src/addons/GifMaker/godot-gdgifexporter/gdgifexporter/quantization/median_cut.gd
new file mode 100644
index 0000000..4610f03
--- /dev/null
+++ b/src/addons/GifMaker/godot-gdgifexporter/gdgifexporter/quantization/median_cut.gd
@@ -0,0 +1,163 @@
+extends Reference
+
+var converter = preload("../converter.gd").new()
+var transparency := false
+
+
+func longest_axis(colors: Array) -> int:
+	var start := [255, 255, 255]
+	var end := [0, 0, 0]
+	for color in colors:
+		for i in 3:
+			start[i] = min(color[i], start[i])
+			end[i] = max(color[i], end[i])
+
+	var max_r = end[0] - start[0]
+	var max_g = end[1] - start[1]
+	var max_b = end[2] - start[2]
+
+	if max_r > max_g:
+		if max_r > max_b:
+			return 0
+	else:
+		if max_g > max_b:
+			return 1
+	return 2
+
+
+func get_median(colors: Array) -> Vector3:
+	return colors[colors.size() >> 1]
+
+
+func median_cut(colors: Array) -> Array:
+	var axis := longest_axis(colors)
+
+	var axis_sort := []
+	for color in colors:
+		axis_sort.append(color[axis])
+	axis_sort.sort()
+
+	var cut := axis_sort.size() >> 1
+	var median: int = axis_sort[cut]
+	axis_sort = []
+
+	var left_colors := []
+	var right_colors := []
+
+	for color in colors:
+		if color[axis] < median:
+			left_colors.append(color)
+		else:
+			right_colors.append(color)
+
+	return [left_colors, right_colors]
+
+
+func average_color(bucket: Array) -> Array:
+	var r := 0
+	var g := 0
+	var b := 0
+	for color in bucket:
+		r += color[0]
+		g += color[1]
+		b += color[2]
+	return [r / bucket.size(), g / bucket.size(), b / bucket.size()]
+
+
+func average_colors(buckets: Array) -> Dictionary:
+	var avg_colors := {}
+	for bucket in buckets:
+		if bucket.size() > 0:
+			avg_colors[average_color(bucket)] = avg_colors.size()
+	return avg_colors
+
+
+func pixels_to_colors(image: Image) -> Array:
+	image.lock()
+	var result := []
+	var data: PoolByteArray = image.get_data()
+
+	for i in range(0, data.size(), 4):
+		if data[i + 3] == 0:
+			transparency = true
+			continue
+		result.append([data[i], data[i + 1], data[i + 2]])
+	image.unlock()
+	return result
+
+
+func remove_smallest_bucket(buckets: Array) -> Array:
+	if buckets.size() == 0:
+		return buckets
+	var i_of_smallest_bucket := 0
+	for i in range(buckets.size()):
+		if buckets[i].size() < buckets[i_of_smallest_bucket].size():
+			i_of_smallest_bucket = i
+	buckets.remove(i_of_smallest_bucket)
+	return buckets
+
+
+func remove_empty_buckets(buckets: Array) -> Array:
+	if buckets.size() == 0:
+		return buckets
+
+	var i := buckets.find([])
+	while i != -1:
+		buckets.remove(i)
+		i = buckets.find([])
+
+	return buckets
+
+
+# quantizes to gif ready codes
+func quantize(image: Image) -> Array:
+	var pixels = pixels_to_colors(image)
+	if pixels.size() == 0:
+		return pixels
+
+	var buckets := [pixels]
+	var done_buckets := []
+
+	# it tells how many times buckets should be divided into two
+	var dimensions := 8
+
+	for i in range(0, dimensions):
+		var new_buckets := []
+		for bucket in buckets:
+			# don't median cut if bucket is smaller than 2, because
+			# it won't produce two new buckets.
+			if bucket.size() > 1:
+				var res := median_cut(bucket)
+				# sometimes when you try to median cut a bucket, the result
+				# is one with size equal to 0 and other with full size as the
+				# source bucket. Because of that it's useless to try to divide
+				# it further so it's better to put it into separate list and
+				# process only those buckets witch divide further.
+				if res[0].size() == 0 or res[1].size() == 0:
+					done_buckets += res
+				else:
+					new_buckets += res
+		buckets = []
+		buckets = new_buckets
+
+	var all_buckets := remove_empty_buckets(done_buckets + buckets)
+
+	buckets = []
+	done_buckets = []
+
+	if transparency:
+		if all_buckets.size() == pow(2, dimensions):
+			all_buckets = remove_smallest_bucket(all_buckets)
+
+	# dictionaries are only for speed.
+	var color_array := average_colors(all_buckets).keys()
+
+	# if pixel_to_colors detected that the image has transparent pixels
+	# then add transparency color at the beginning so it will be properly
+	# exported.
+	if transparency:
+		color_array = [[0, 0, 0]] + color_array
+
+	var data: PoolByteArray = converter.get_similar_indexed_datas(image, color_array)
+
+	return [data, color_array, transparency]
diff --git a/src/addons/GifMaker/godot-gdgifexporter/gdgifexporter/quantization/uniform.gd b/src/addons/GifMaker/godot-gdgifexporter/gdgifexporter/quantization/uniform.gd
new file mode 100644
index 0000000..e953342
--- /dev/null
+++ b/src/addons/GifMaker/godot-gdgifexporter/gdgifexporter/quantization/uniform.gd
@@ -0,0 +1,88 @@
+extends Reference
+
+var converter = preload("../converter.gd").new()
+var transparency := false
+
+
+func how_many_divisions(colors_count: int) -> int:
+	return int(ceil(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: PoolByteArray) -> 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:
+	image.lock()
+
+	var colors: Array = generate_colors(256)
+	var tmp_image: Image = Image.new()
+	tmp_image.copy_from(image)
+	tmp_image.resize(32, 32)
+	tmp_image.lock()
+	colors = enhance_colors(tmp_image, colors)
+	tmp_image.unlock()
+
+	image.unlock()
+	colors = to_color_array(colors)
+
+	var data: PoolByteArray = converter.get_similar_indexed_datas(image, colors)
+
+	return [data, colors, transparency]