Spaces:
Running
Running
import typing as t | |
from PIL import Image, ImageColor, ImageOps, ImageChops, ImageFilter | |
import numpy as np | |
class Canvas: | |
def __init__(self, filename=None, height=500, width=500): | |
self.filename = filename | |
self.height, self.width = height, width | |
self.img = Image.new("RGBA", (self.height, self.width), (0, 0, 0, 0)) | |
def draw(self, dots, color: t.Union[tuple, str]): | |
if isinstance(color, str): | |
color = ImageColor.getrgb(color) | |
if isinstance(dots, tuple): | |
dots = [dots] | |
for dot in dots: | |
if dot[0]>=self.height or dot[1]>=self.width or dot[0]<0 or dot[1]<0: | |
# print(dot) | |
continue | |
self.img.putpixel(dot, color + (255,)) | |
def add_white_border(self, border_size=5): | |
# 确保输入图像是 RGBA 模式 | |
if self.img.mode != "RGBA": | |
self.img = self.img.convert("RGBA") | |
# 提取 alpha 通道 | |
alpha = self.img.getchannel("A") | |
# print(alpha.size) | |
dilated_alpha = alpha.filter(ImageFilter.MaxFilter(size=5)) | |
# # print(dilated_alpha.size) | |
white_area = Image.new("RGBA", self.img.size, (255, 255, 255, 255)) | |
white_area.putalpha(dilated_alpha) | |
# 合并膨胀后的白色区域与原图像 | |
result = Image.alpha_composite(white_area, self.img) | |
# expanded_alpha = ImageOps.expand(alpha, border=border_size, fill=255) | |
# white_border = Image.new("RGBA", image.size, (255, 255, 255, 255)) | |
# white_border.putalpha(alpha) | |
return result | |
def __enter__(self): | |
return self | |
def __exit__(self, type, value, traceback): | |
# self.img = add_white_border(self.img) | |
self.img.save(self.filename) | |
pass | |