利用python生成照片墙的示例代码

from PIL import Image, ImageDraw, ImageFont
import os

def gen_text_img(text, font_size=20, font_path=None):
  # args：文字内容，文字字体大小，字体路径
  font = ImageFont.truetype(font_path, font_size) if font_path is not None else None
  (width, length) = font.getsize(text) # 获取文字大小
  text_img = Image.new('RGBA', (width, length))
  draw = ImageDraw.Draw(text_img)
  # 第一个tuple表示未知(left,up)，之后是文字，然后颜色，最后设置字体
  draw.text((0, 0), text, fill=(0, 0, 0), font=font)
  text_img.save('./temp_pic.jpg')
  return text_img

def trans_alpha(img, pixel):
  '''
  根据rgba的pixel调节img的透明度
  这里传进来的pixel是一个四元组（r,g,b,alpha）
  '''
  _, _, _, alpha = img.split()
  alpha = alpha.point(lambda i: pixel[-1]*10)
  img.putalpha(alpha)  #Part2有介绍
  return img

def picture_wall_mask(text_img, edge_len, pic_dir="./user"):
  # 根据文字图gen_text_img像生成对应的照片墙，输入：文字图像，各个照片边长，照片所在路径
  new_img = Image.new('RGBA', (text_img.size[0] * edge_len, text_img.size[1] * edge_len))
  file_list = os.listdir(pic_dir)
  img_index = 0
  for x in range(0, text_img.size[0]):
    for y in range(0, text_img.size[1]):
      pixel = text_img.getpixel((x, y))#Part2有介绍
      file_name = file_list[img_index % len(file_list)]
      try:
        img = Image.open(os.path.join(pic_dir, file_name)).convert('RGBA')#Part2有介绍
        img = img.resize((edge_len, edge_len))
        img = trans_alpha(img, pixel)
        new_img.paste(img, (x * edge_len, y * edge_len)) #指定区域替换，Part2有介绍
        img_index += 1
      except Exception as e:
        print(f"open file {file_name} failed! {e}")
  return new_img

def main(text='', font_size = 20, edge_len = 60,pic_dir = "./user", out_dir = "./out/", font_path = './demo.ttf'):
  '''
  生成照片墙
  :param text: Text of picture wall, if not defined this will generage a rectangle picture wall
  :param font_size: font size of a clear value
  :param edge_len: sub picture's egde length
  '''
  if len(text)  = 1:
    text_ = ' '.join(text)#将字符串用空格分隔开，提高展示效果
    #text_ = text
    print(f"generate text wall for '{text_}' with picture path:{pic_dir}")
    text_img = gen_text_img(text_, font_size, font_path)
    # text_img.show()
    img_ascii = picture_wall_mask(text_img, edge_len, pic_dir)
    # img_ascii.show()
    img_ascii.save(out_dir + os.path.sep + '_'.join(text) + '.jpg')

if __name__ == '__main__':
  main(text='python')

import matplotlib.pyplot as plt # plt 用于显示图片
import matplotlib.image as mpimg # mpimg 用于读取图片

lena = mpimg.imread('temp_pic.png') # 读取和代码处于同一目录下的 lena.png
# 此时 lena 就已经是一个 np.array 了，可以对它进行任意处理
lena.shape #(512, 512, 3)
plt.imshow(lena) # 显示图片
plt.axis('off') # 不显示坐标轴
plt.show()