使用PIL加工图片

常见的图片操作包括但不限于：

•大小进行变化

•旋转

•翻转

•使用滤镜进行处理

•剪切

     以下python代码演示了如何将一幅美女图进行多种加工处理，并且汇集在一起，形成一个类似于照片墙的相关操作。

from PIL import Image
from PIL import ImageFilter
from PIL import ImageEnhance
from PIL import ImageDraw, ImageFont
import math


def text(image, text):
    """
    给图片加上文字
    truetype设置字体、文字大小
    stxingka.ttf华文行楷 simkai.ttf 楷体 simli.ttf 隶书

    Args:
        image (object): 图片对象
        text (string): 要加入的文字
    """

    draw = ImageDraw.Draw(image)
    font = ImageFont.truetype("C:\\WINDOWS\\Fonts\\simkai.ttf", 80)
    draw.text((50, 200), (text), fill='#0000ff', font=font)


def gallery(inputfilename, outputfilename,cols=3):
    """
    做一个图片墙

    Args:
        inputfilename (string): 输入文件名称
        outputfilename (string): 输出文件名称
        cols(int): 显示的列数。缺省是3列显示
    """
    filters = [ImageFilter.BLUR, ImageFilter.CONTOUR, ImageFilter.DETAIL, ImageFilter.EDGE_ENHANCE, ImageFilter.EDGE_ENHANCE_MORE,
               ImageFilter.EMBOSS, ImageFilter.FIND_EDGES, ImageFilter.SHARPEN, ImageFilter.SMOOTH, ImageFilter.SMOOTH_MORE]

    filtername = ['ImageFilter.BLUR', 'ImageFilter.CONTOUR', 'ImageFilter.DETAIL', 'ImageFilter.EDGE_ENHANCE', 'ImageFilter.EDGE_ENHANCE_MORE',
                  'ImageFilter.EMBOSS', 'ImageFilter.FIND_EDGES', 'ImageFilter.SHARPEN', 'ImageFilter.SMOOTH', 'ImageFilter.SMOOTH_MORE']

    imglist = list()

    # 原图
    im = Image.open(inputfilename)

    # 计算缩放比例
    imagewidth, imageheight = im.size

    # 以宽为标准进行缩。
    targetwidth = math.floor(1920/cols)
    rate = targetwidth/imagewidth
    targetheight = math.ceil(imageheight*rate)

    out = im.copy()
    text(out, "原图")
    imglist.append(out)

    # 旋转
    out = im.copy().rotate(45)
    text(out, '旋转45度')
    imglist.append(out)

    # 对称翻转
    out = im.copy().transpose(Image.Transpose.FLIP_LEFT_RIGHT)
    text(out, '对称翻转')
    imglist.append(out)

    # 加滤镜
    for fi, name in zip(filters, filtername):
        out = im.filter(fi)
        text(out, name)
        imglist.append(out)

    # 强化对比
    enh = ImageEnhance.Contrast(im)
    out = enh.enhance(1.3)
    text(out, 'enhanced')
    imglist.append(out)

    # cut
    box = (500, 400,  900, 800)
    out = im.crop(box)
    text(out, 'cut')
    imglist.append(out)

    # 水平排列
    count = len(imglist)
    if count % cols == 0:
        rows = count // cols
    else:
        rows = count // cols + 1

    new_width = 1920
    new_height = math.ceil(rows * targetheight)

    final = Image.new('RGB', (new_width, new_height))

    for row in range(rows):
        for col in range(cols):
            index = row*cols+col
            if index < count:
                img = imglist[row*cols+col]
                width, _ = img.size
                if width > targetwidth:
                    out = img.resize((targetwidth, targetheight))
                else:
                    out = img

                final.paste(out, (col * targetwidth, row * targetheight))
    final.save(outputfilename)


gallery(r'd:\test\girl.png',r'd:\test\gallery.png')

运行后的效果如下图所示。

在这个照片墙上，每种加工的名称都输出到图片的左上侧。 最后一个图是剪切图，小于照片墙预留的空间，所以显得奇怪一些。