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Diffstat (limited to 'bot/exts/avatar_modification/_effects.py')
| -rw-r--r-- | bot/exts/avatar_modification/_effects.py | 296 |
1 files changed, 296 insertions, 0 deletions
diff --git a/bot/exts/avatar_modification/_effects.py b/bot/exts/avatar_modification/_effects.py new file mode 100644 index 00000000..f1c2e6d1 --- /dev/null +++ b/bot/exts/avatar_modification/_effects.py @@ -0,0 +1,296 @@ +import math +import random +from io import BytesIO +from pathlib import Path +from typing import Callable, Optional + +import discord +from PIL import Image, ImageDraw, ImageOps + +from bot.constants import Colours + + +class PfpEffects: + """ + Implements various image modifying effects, for the PfpModify cog. + + All of these functions are slow, and blocking, so they should be ran in executors. + """ + + @staticmethod + def apply_effect(image_bytes: bytes, effect: Callable, filename: str, *args) -> discord.File: + """Applies the given effect to the image passed to it.""" + im = Image.open(BytesIO(image_bytes)) + im = im.convert("RGBA") + im = im.resize((1024, 1024)) + im = effect(im, *args) + + bufferedio = BytesIO() + im.save(bufferedio, format="PNG") + bufferedio.seek(0) + + return discord.File(bufferedio, filename=filename) + + @staticmethod + def closest(x: tuple[int, int, int]) -> tuple[int, int, int]: + """ + Finds the closest "easter" colour to a given pixel. + + Returns a merge between the original colour and the closest colour. + """ + r1, g1, b1 = x + + def distance(point: tuple[int, int, int]) -> int: + """Finds the difference between a pastel colour and the original pixel colour.""" + r2, g2, b2 = point + return (r1 - r2) ** 2 + (g1 - g2) ** 2 + (b1 - b2) ** 2 + + closest_colours = sorted(Colours.easter_like_colours, key=distance) + r2, g2, b2 = closest_colours[0] + r = (r1 + r2) // 2 + g = (g1 + g2) // 2 + b = (b1 + b2) // 2 + + return r, g, b + + @staticmethod + def crop_avatar_circle(avatar: Image.Image) -> Image.Image: + """This crops the avatar given into a circle.""" + mask = Image.new("L", avatar.size, 0) + draw = ImageDraw.Draw(mask) + draw.ellipse((0, 0) + avatar.size, fill=255) + avatar.putalpha(mask) + return avatar + + @staticmethod + def crop_ring(ring: Image.Image, px: int) -> Image.Image: + """This crops the given ring into a circle.""" + mask = Image.new("L", ring.size, 0) + draw = ImageDraw.Draw(mask) + draw.ellipse((0, 0) + ring.size, fill=255) + draw.ellipse((px, px, 1024-px, 1024-px), fill=0) + ring.putalpha(mask) + return ring + + @staticmethod + def pridify_effect(image: Image.Image, pixels: int, flag: str) -> Image.Image: + """Applies the given pride effect to the given image.""" + image = PfpEffects.crop_avatar_circle(image) + + ring = Image.open(Path(f"bot/resources/holidays/pride/flags/{flag}.png")).resize((1024, 1024)) + ring = ring.convert("RGBA") + ring = PfpEffects.crop_ring(ring, pixels) + + image.alpha_composite(ring, (0, 0)) + return image + + @staticmethod + def eight_bitify_effect(image: Image.Image) -> Image.Image: + """ + Applies the 8bit effect to the given image. + + This is done by reducing the image to 32x32 and then back up to 1024x1024. + We then quantize the image before returning too. + """ + image = image.resize((32, 32), resample=Image.NEAREST) + image = image.resize((1024, 1024), resample=Image.NEAREST) + return image.quantize() + + @staticmethod + def flip_effect(image: Image.Image) -> Image.Image: + """ + Flips the image horizontally. + + This is done by just using ImageOps.mirror(). + """ + image = ImageOps.mirror(image) + + return image + + @staticmethod + def easterify_effect(image: Image.Image, overlay_image: Optional[Image.Image] = None) -> Image.Image: + """ + Applies the easter effect to the given image. + + This is done by getting the closest "easter" colour to each pixel and changing the colour + to the half-way RGB value. + + We also then add an overlay image on top in middle right, a chocolate bunny by default. + """ + if overlay_image: + ratio = 64 / overlay_image.height + overlay_image = overlay_image.resize(( + round(overlay_image.width * ratio), + round(overlay_image.height * ratio) + )) + overlay_image = overlay_image.convert("RGBA") + else: + overlay_image = Image.open(Path("bot/resources/holidays/easter/chocolate_bunny.png")) + + alpha = image.getchannel("A").getdata() + image = image.convert("RGB") + image = ImageOps.posterize(image, 6) + + data = image.getdata() + data_set = set(data) + easterified_data_set = {} + + for x in data_set: + easterified_data_set[x] = PfpEffects.closest(x) + new_pixel_data = [ + (*easterified_data_set[x], alpha[i]) + if x in easterified_data_set else x + for i, x in enumerate(data) + ] + + im = Image.new("RGBA", image.size) + im.putdata(new_pixel_data) + im.alpha_composite( + overlay_image, + (im.width - overlay_image.width, (im.height - overlay_image.height) // 2) + ) + return im + + @staticmethod + def split_image(img: Image.Image, squares: int) -> list: + """ + Split an image into a selection of squares, specified by the squares argument. + + Explanation: + + 1. It gets the width and the height of the Image passed to the function. + + 2. It gets the root of a number of squares (number of squares) passed, which is called xy. Reason: if let's say + 25 squares (number of squares) were passed, that is the total squares (split pieces) that the image is supposed + to be split into. As it is known, a 2D shape has a height and a width, and in this case the program thinks of it + as rows and columns. Rows multiplied by columns is equal to the passed squares (number of squares). To get rows + and columns, since in this case, each square (split piece) is identical, rows are equal to columns and the + program treats the image as a square-shaped, it gets the root out of the squares (number of squares) passed. + + 3. Now width and height are both of the original Image, Discord PFP, so when it comes to forming the squares, + the program divides the original image's height and width by the xy. In a case of 25 squares (number of squares) + passed, xy would be 5, so if an image was 250x300, x_frac would be 50 and y_frac - 60. Note: + x_frac stands for a fracture of width. The reason it's called that is because it is shorter to use x for width + in mind and then it's just half of the word fracture, same applies to y_frac, just height instead of width. + x_frac and y_frac are width and height of a single square (split piece). + + 4. With left, top, right, bottom, = 0, 0, x_frac, y_frac, the program sets these variables to create the initial + square (split piece). Explanation: all of these 4 variables start at the top left corner of the Image, by adding + value to right and bottom, it's creating the initial square (split piece). + + 5. In the for loop, it keeps adding those squares (split pieces) in a row and once (index + 1) % xy == 0 is + True, it adds to top and bottom to lower them and reset right and left to recreate the initial space between + them, forming a square (split piece), it also adds the newly created square (split piece) into the new_imgs list + where it stores them. The program keeps repeating this process till all 25 squares get added to the list. + + 6. It returns new_imgs, a list of squares (split pieces). + """ + width, heigth = img.size + + xy = math.sqrt(squares) + + x_frac = width // xy + y_frac = heigth // xy + + left, top, right, bottom, = 0, 0, x_frac, y_frac + + new_imgs = [] + + for index in range(squares): + new_img = img.crop((left, top, right, bottom)) + new_imgs.append(new_img) + + if (index + 1) % xy == 0: + top += y_frac + bottom += y_frac + left = 0 + right = x_frac + else: + left += x_frac + right += x_frac + + return new_imgs + + @staticmethod + def join_images(images: list[Image.Image]) -> Image.Image: + """ + Stitches all the image squares into a new image. + + Explanation: + + 1. Shuffles the passed images to randomize the pieces. + + 2. The program gets a single square (split piece) out of the list and defines single_width as the square's width + and single_height as the square's height. + + 3. It gets the root of type integer of the number of images (split pieces) in the list and calls it multiplier. + Program then proceeds to calculate total height and width of the new image that it's creating using the same + multiplier. + + 4. The program then defines new_image as the image that it's creating, using the previously obtained total_width + and total_height. + + 5. Now it defines width_multiplier as well as height with values of 0. These will be used to correctly position + squares (split pieces) onto the new_image canvas. + + 6. Similar to how in the split_image function, the program gets the root of number of images in the list. + In split_image function, it was the passed squares (number of squares) instead of a number of imgs in the + list that it got the square of here. + + 7. In the for loop, as it iterates, the program multiplies single_width by width_multiplier to correctly + position a square (split piece) width wise. It then proceeds to paste the newly positioned square (split piece) + onto the new_image. The program increases the width_multiplier by 1 every iteration so the image wouldn't get + pasted in the same spot and the positioning would move accordingly. It makes sure to increase the + width_multiplier before the check, which checks if the end of a row has been reached, - + (index + 1) % pieces == 0, so after it, if it was True, width_multiplier would have been reset to 0 (start of + the row). If the check returns True, the height gets increased by a single square's (split piece) height to + lower the positioning height wise and, as mentioned, the width_multiplier gets reset to 0 and width will + then be calculated from the start of the new row. The for loop finishes once all the squares (split pieces) were + positioned accordingly. + + 8. Finally, it returns the new_image, the randomized squares (split pieces) stitched back into the format of the + original image - user's PFP. + """ + random.shuffle(images) + single_img = images[0] + + single_wdith = single_img.size[0] + single_height = single_img.size[1] + + multiplier = int(math.sqrt(len(images))) + + total_width = multiplier * single_wdith + total_height = multiplier * single_height + + new_image = Image.new("RGBA", (total_width, total_height), (250, 250, 250)) + + width_multiplier = 0 + height = 0 + + squares = math.sqrt(len(images)) + + for index, image in enumerate(images): + width = single_wdith * width_multiplier + + new_image.paste(image, (width, height)) + + width_multiplier += 1 + + if (index + 1) % squares == 0: + width_multiplier = 0 + height += single_height + + return new_image + + @staticmethod + def mosaic_effect(image: Image.Image, squares: int) -> Image.Image: + """ + Applies a mosaic effect to the given image. + + The "squares" argument specifies the number of squares to split + the image into. This should be a square number. + """ + img_squares = PfpEffects.split_image(image, squares) + new_img = PfpEffects.join_images(img_squares) + + return new_img |