# coding:utf-8

from PIL import Image, ImageDraw, ImageFont

def add_text_to_image(image, text):

    font = ImageFont.truetype('C:\Windows\Fonts\STXINGKA.TTF', 36)

    # 添加背景

    new_img = Image.new('RGBA', (image.size[0] * 3, image.size[1] * 3), (0, 0, 0, 0))

    new_img.paste(image, image.size)

    # 添加水印

    font_len = len(text)

    rgba_image = new_img.convert('RGBA')

    text_overlay = Image.new('RGBA', rgba_image.size, (255, 255, 255, 0))

    image_draw = ImageDraw.Draw(text_overlay)

    for i in range(0, rgba_image.size[0], font_len * 40 + 100):

        for j in range(0, rgba_image.size[1], 200):

            image_draw.text((i, j), text, font=font, fill=(0, 0, 0, 50))

    text_overlay = text_overlay.rotate(-45)

    image_with_text = Image.alpha_composite(rgba_image, text_overlay)

    # 裁切图片

    image_with_text = image_with_text.crop((image.size[0], image.size[1], image.size[0] * 2, image.size[1] * 2))

    return image_with_text

if __name__ == '__main__':

    img = Image.open(r"d:\ww.jpg")

    im_after = add_text_to_image(img, u'群主是个大流X')

    im_after.save(r'd:\ww.png')

from PIL import Image

import matplotlib.pyplot as plt

import numpy as np

import matplotlib.cm as cm   #cm是colormap的缩写

image_gray=Image.open('D:/ww.png').convert("L")

data=np.array(image_gray)  #在显示灰度图像时array()方法将图像转换成Numpy的数组对象，图片得以显式，否则会出现错误

plt.imshow(data,cmap=cm.gray)# cmap:代表颜色图谱，默认绘制为RGB(A)颜色空间。

plt.savefig("d:/ww1.png")

plt.show()

from PIL import Image

import matplotlib.pyplot as plt

import numpy as np

image=Image.open('D:/ww.jpg')

box=(100,100,400,400)

region=image.crop(box)

data=np.array(region)

plt.imshow(data)

plt.show()

from PIL import Image

import matplotlib.pyplot as plt

image=Image.open('D:/ww.png')#读取图像

plt.imshow(image.rotate(180))#逆时针旋转180度

plt.show()#需要调用show()方法，不然图像只会在内存中而不显示出来