from PIL import Imagedef init():  # 設置每個像素區塊的大小  block_size = 75  img = Image.open("a.jpg")  # 獲取圖片的寬高  width, height = img.size  # 獲取像素點對應RGB顏色值，可以改變img_array中的值來改變顏色值  img_array = img.load()  # 為了處理最后的區塊，加了一次循環  max_width = width + block_size  max_height = height + block_size  for x in range(block_size - 1, max_width, block_size):    for y in range(block_size - 1, max_height, block_size):      # 如果是最后一次循環，則x坐標等于width - 1      if x == max_width - max_width % block_size - 1:        x = width - 1      # 如果是最后一次循環，則x坐標等于height - 1      if y == max_height - max_height % block_size - 1:        y = height - 1      # 改變每個區塊的顏色值      change_block(x, y, block_size, img_array)      y += block_size    x += block_size  img.save(r'D:/python/pixel_image/awesome_copy.png')  img.show()""":param x坐標 x: :param y坐標 y: :param 區塊大小 black_size: :param 可操作圖片數組 img_array: """def change_block(x, y, black_size, img_array):  color_dist = {}  block_pos_list = []  for pos_x in range(-black_size + 1, 1):    for pos_y in range(-black_size + 1, 1):      # todo print(x + pos_x,y + pos_y)      block_pos_list.append([x + pos_x, y + pos_y])  for pixel in block_pos_list:    if not str(img_array[pixel[0], pixel[1]]) in color_dist.keys():      color_dist[str(img_array[pixel[0], pixel[1]])] = 1    else:      color_dist[str(img_array[pixel[0], pixel[1]])] += 1  # key-->value => value-->key  new_dict = {v: k for k, v in color_dist.items()}  max_color = new_dict[max(color_dist.values())]  # 將區塊內所有的顏色值設置為顏色最多的顏色  for a in block_pos_list:    img_array[a[0], a[1]] = tuple(list(map(int, max_color[1:len(max_color) - 1].split(","))))def get_key(dict, value):  return [k for k, v in dict.items() if v == value]if __name__ == "__main__":  init()