Delete image_processing.py

image_processing.py

@@ -1,68 +0,0 @@
-from PIL import Image, ImageDither, ImageQuantize
-
-DITHER_METHODS = {
-    "None": ImageDither.NONE,
-    "Floyd-Steinberg": ImageDither.FLOYDSTEINBERG
-}
-
-QUANTIZATION_METHODS = {
-    "Median cut": ImageQuantize.MEDIANCUT,
-    "Maximum coverage": ImageQuantize.MAXCOVERAGE,
-    "Fast octree": ImageQuantize.FASTOCTREE,
-    "libimagequant": ImageQuantize.LIBIMAGEQUANT
-}
-
-def downscale_image(image: Image, scale: int) -> Image:
-    width, height = image.size
-    downscaled_image = image.resize((int(width / scale), int(height / scale)), Image.NEAREST)
-    return downscaled_image
-
-def limit_colors(
-        image,
-        limit: int=16,
-        palette=None,
-        palette_colors: int=256,
-        quantize: Image.Quantize=Image.Quantize.MEDIANCUT,
-        dither: Image.Dither=Image.Dither.NONE,
-        use_k_means: bool=False
-    ):
-    if use_k_means:
-        k_means_value = limit
-    else:
-        k_means_value = 0
-
-    if palette:
-        palette_image = palette
-        ppalette = palette.getcolors()
-        if ppalette:
-            color_palette = palette.quantize(colors=len(list(set(ppalette))))
-        else:
-            colors = len(palette_image.getcolors()) if palette_image.getcolors() else palette_colors
-            color_palette = palette_image.quantize(colors, kmeans=colors)
-    else:
-        # we need to get palette from image, because
-        # dither in quantize doesn't work without it
-        # https://pillow.readthedocs.io/en/stable/_modules/PIL/Image.html#Image.quantize
-        color_palette = image.quantize(colors=limit, kmeans=k_means_value, method=quantize, dither=Image.Dither.NONE)
-
-    new_image = image.quantize(palette=color_palette, dither=dither)
-
-    return new_image
-
-def convert_to_grayscale(image):
-    new_image = image.convert("L")
-    return new_image.convert("RGB")
-
-def convert_to_black_and_white(image: Image, threshold: int=128, is_inversed: bool=False):
-    if is_inversed:
-        apply_threshold = lambda x : 255 if x < threshold else 0
-    else:
-        apply_threshold = lambda x : 255 if x > threshold else 0
-
-    black_and_white_image = image.convert('L', dither=Image.Dither.NONE).point(apply_threshold, mode='1')
-    return black_and_white_image.convert("RGB")
-
-def resize_image(image: Image, size) -> Image:
-    width, height = size
-    resized_image = image.resize((width, height), Image.NEAREST)
-    return resized_image