gen.py

#coding=utf-8
__author__ = 'sxf'

import random
from PIL import Image, ImageDraw, ImageFont, ImageFilter

#map:将str函数作用于后面序列的每一个元素
numbers = ''.join(map(str, range(10)))
chars = ''.join((numbers))


def create_validate_code(size=(120, 30),
                         chars=chars,
                         mode="RGB",
                         bg_color=(255, 255, 255),
                         font_size=18,
                         font_type="calibriz.ttf",
                         length=4,
                         draw_points=True,
                         point_chance = 2):
    '''
    size: 图片的大小，格式（宽，高），默认为(120, 30)
    chars: 允许的字符集合，格式字符串
    mode: 图片模式，默认为RGB
    bg_color: 背景颜色，默认为白色
    fg_color: 前景色，验证码字符颜色
    font_size: 验证码字体大小
    font_type: 验证码字体，默认为 Monaco.ttf
    length: 验证码字符个数
    draw_points: 是否画干扰点
    point_chance: 干扰点出现的概率，大小范围[0, 50]
    '''

    width, height = size
    img = Image.new(mode, size, bg_color) # 创建图形
    draw = ImageDraw.Draw(img) # 创建画笔

    def get_chars():
        '''''生成给定长度的字符串，返回列表格式'''
        return random.sample(chars, length)

    def create_points():
        '''''绘制干扰点'''
        chance = min(50, max(0, int(point_chance))) # 大小限制在[0, 50]

        for w in range(width):
            for h in range(height):
                tmp = random.randint(0, 50)
                if tmp > 50 - chance:
                    draw.point((w, h), fill=(0, 0, 0))

    def create_strs():
        '''''绘制验证码字符'''
        c_chars = get_chars()
        strs = '%s' % ''.join(c_chars)

        font = ImageFont.truetype(font_type, font_size)
        font_width, font_height = font.getsize(strs)
        px = 0
        for c in strs:
            fg_color = (random.randint(30, 250), random.randint(30, 250), random.randint(30, 250))
            draw.text(((width - font_width) / 3 + px, (height - font_height) / 4),
                    c, font=font, fill=fg_color)
            px += 15
        return strs

    if draw_points:
        create_points()
    strs = create_strs()

    # 图形扭曲参数
    params = [1 - float(random.randint(1, 2)) / 100,
              0,
              0,
              0,
              1 - float(random.randint(1, 10)) / 100,
              float(random.randint(1, 2)) / 500,
              0.001,
              float(random.randint(1, 2)) / 500
              ]
    img = img.transform(size, Image.PERSPECTIVE, params) # 创建扭曲

    img = img.filter(ImageFilter.EDGE_ENHANCE_MORE) # 滤镜，边界加强（阈值更大）

    return img,strs


for i in range(10):
    image, code = create_validate_code();
    image.save('train/'+code+'.jpg', option={'progression': True, 'quality': 60, 'optimize': True})