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gen_id_font_real.py
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# -*- coding:utf-8 -*-
import linecache
from captcha.image import ImageCaptcha # pip install captcha
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image, ImageDraw, ImageFont, ImageFilter, ImageOps
import random
import cv2
import os
import uuid
import colorsys
list = []
BG_PATH = './background_img/id/'
SAVE_PATH = './output/'
FONTS_PATH = './ctn_ttf/'
number = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']
ALPHABET = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P',
'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z']
BAKCGROUND = []
FONTCOLOR = ['0', '255', '250', '254', '25', '253', '252']
ID1 = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V',
'W', 'X', 'Y', 'Z']
ID2 = ['0', '2', '5', '6', '8', '9', '1', '3', '4', '7']
ID3 = ['0', '2', '5', '6', '8', '9', '1', '3', '4', '7']
FONTS = [
'096-CAI978.ttf'
]
def rad(x):
return x * np.pi / 180
def get_dominant_color(image):
image = image.convert('RGBA')
max_score = 0
dominant_color = 0
for count, (r, g, b, a) in image.getcolors(image.size[0] * image.size[1]):
if a == 0:
continue
saturation = colorsys.rgb_to_hsv(r / 255.0, g / 255.0, b / 255.0)[1]
y = min(abs(r * 2104 + g * 4130 + b * 802 + 4096 + 131072) >> 13, 235)
y = (y - 16.0) / (235 - 16)
if y > 0.9:
continue
score = (saturation + 0.1) * count
if score > max_score:
max_score = score
dominant_color = (r, g, b)
return dominant_color
def perspective_transform_new(img):
# 扩展图像，保证内容不超出可视范围
PIL_img = img
img = np.array(img)
# img = cv2.copyMakeBorder(img, 65, 65, 65, 65, cv2.BORDER_CONSTANT, value=get_dominant_color(PIL_img))
img = cv2.copyMakeBorder(img, 65, 65, 65, 65, cv2.BORDER_CONSTANT, value=0)
w, h = img.shape[0:2]
# print(w, h)
anglex = random.randint(-10, 10)
angley = random.randint(-10, 10)
anglez = random.randint(-20, 20)
fov = random.randint(10, 20)
z = np.sqrt(w ** 2 + h ** 2) / 2 / np.tan(rad(fov / 2))
rx = np.array([[1, 0, 0, 0],
[0, np.cos(rad(anglex)), -np.sin(rad(anglex)), 0],
[0, -np.sin(rad(anglex)), np.cos(rad(anglex)), 0, ],
[0, 0, 0, 1]], np.float32)
ry = np.array([[np.cos(rad(angley)), 0, np.sin(rad(angley)), 0],
[0, 1, 0, 0],
[-np.sin(rad(angley)), 0, np.cos(rad(angley)), 0, ],
[0, 0, 0, 1]], np.float32)
rz = np.array([[np.cos(rad(anglez)), np.sin(rad(anglez)), 0, 0],
[-np.sin(rad(anglez)), np.cos(rad(anglez)), 0, 0],
[0, 0, 1, 0],
[0, 0, 0, 1]], np.float32)
r = rx.dot(ry).dot(rz)
# 四对点的生成
pcenter = np.array([h / 2, w / 2, 0, 0], np.float32)
p1 = np.array([0, 0, 0, 0], np.float32) - pcenter
p2 = np.array([w, 0, 0, 0], np.float32) - pcenter
p3 = np.array([0, h, 0, 0], np.float32) - pcenter
p4 = np.array([w, h, 0, 0], np.float32) - pcenter
dst1 = r.dot(p1)
dst2 = r.dot(p2)
dst3 = r.dot(p3)
dst4 = r.dot(p4)
list_dst = [dst1, dst2, dst3, dst4]
org = np.array([[0, 0],
[w, 0],
[0, h],
[w, h]], np.float32)
dst = np.zeros((4, 2), np.float32)
# 投影至成像平面
for i in range(4):
dst[i, 0] = list_dst[i][0] * z / (z - list_dst[i][2]) + pcenter[0]
dst[i, 1] = list_dst[i][1] * z / (z - list_dst[i][2]) + pcenter[1]
warpR = cv2.getPerspectiveTransform(org, dst)
# result = cv2.warpPerspective(img, warpR, (h, w), borderValue=get_dominant_color(PIL_img))
result = cv2.warpPerspective(img, warpR, (h, w), borderValue=(0, 0, 0))
# cv2.namedWindow('result', cv2.WINDOW_NORMAL)
# cv2.imshow("result", result)
# cv2.waitKey(0)
# cv2.destroyAllWindows()
return result
def perspective_transform(im):
PIL_img = im
im = np.array(im)
w, h = im.shape[0:2]
im = cv2.copyMakeBorder(im, 0, 0, 0, 0, cv2.BORDER_CONSTANT, value=[0, 0, 0])
anglex = random.randint(-6, 6)
angley = random.randint(-6, 6)
anglez = random.randint(-6, 6)
fov = 42
z = np.sqrt(w ** 2 + h ** 2) / 2 / np.tan(rad(fov / 2))
# 齐次变换矩阵
rx = np.array([[1, 0, 0, 0],
[0, np.cos(rad(anglex)), -np.sin(rad(anglex)), 0],
[0, -np.sin(rad(anglex)), np.cos(rad(anglex)), 0, ],
[0, 0, 0, 1]], np.float32)
ry = np.array([[np.cos(rad(angley)), 0, np.sin(rad(angley)), 0],
[0, 1, 0, 0],
[-np.sin(rad(angley)), 0, np.cos(rad(angley)), 0, ],
[0, 0, 0, 1]], np.float32)
rz = np.array([[np.cos(rad(anglez)), np.sin(rad(anglez)), 0, 0],
[-np.sin(rad(anglez)), np.cos(rad(anglez)), 0, 0],
[0, 0, 1, 0],
[0, 0, 0, 1]], np.float32)
r = rx.dot(ry).dot(rz)
# 四对点的生成
pcenter = np.array([h / 1.5, w / 1.5, 0, 0], np.float32)
p1 = np.array([0, 0, 0, 0], np.float32) - pcenter
p2 = np.array([w, 0, 0, 0], np.float32) - pcenter
p3 = np.array([0, h, 0, 0], np.float32) - pcenter
p4 = np.array([w, h, 0, 0], np.float32) - pcenter
dst1 = r.dot(p1)
dst2 = r.dot(p2)
dst3 = r.dot(p3)
dst4 = r.dot(p4)
list_dst = [dst1, dst2, dst3, dst4]
org = np.array([[0, 0],
[w, 0],
[0, h],
[w, h]], np.float32)
dst = np.zeros((4, 2), np.float32)
# 投影至成像平面
for _i in range(4):
dst[_i, 0] = list_dst[_i][0] * z / (z - list_dst[_i][2]) + pcenter[0]
dst[_i, 1] = list_dst[_i][1] * z / (z - list_dst[_i][2]) + pcenter[1]
warpR = cv2.getPerspectiveTransform(org, dst)
im = cv2.warpPerspective(im, warpR, (h, w), flags=cv2.INTER_LINEAR, borderValue=get_dominant_color(PIL_img))
return im
def gen_captcha_text_and_image(index):
tmp1 = random.sample(ID1, 1) + random.sample(ID1, 1) + random.sample(ID1, 1) \
+ random.sample(ID1, 1)
tmp2 = random.sample(ID2, 1) + random.sample(ID2, 1) + random.sample(ID2, 1) \
+ random.sample(ID2, 1) + random.sample(ID2, 1) + random.sample(ID2, 1)
tmp3 = random.sample(ID3, 1)
IMAGENAME = random.sample(BAKCGROUND, 1)[0]
text = ''.join(tmp1)
# text = ''.join(tmp1) + ' ' + ''.join(tmp2) + ''.join(tmp3)
filename = text
if text in list:
filename = text + '-' + str(index)
list.append(text)
# print("gen ", text, '......')
im = gen_rgba_image(text)
w, h = np.array(im).shape[0:2]
im = perspective_transform(im)
im2 = Image.open(BG_PATH + 'BG1.jpg')
# im2 = Image.open(BG_PATH + IMAGENAME)
target = Image.new('RGB', im2.size, (0, 0, 0, 0))
target.paste(im2)
w2, h2 = np.array(im2).shape[0:2]
im = Image.fromarray(im).filter(ImageFilter.SMOOTH_MORE)
im = im.resize((int(h / (h / h2)), int(w / (w / w2))))
r, g, b, a = im.split()
target.paste(im, mask=a)
target = target.filter(ImageFilter.SMOOTH_MORE)
# plt.imshow(target)
# plt.show()
str2 = filename + '-' + str(uuid.uuid1()) + '.jpg'
target.save(SAVE_PATH + str2) # 写到文件
return text, im
def make_image(text1, text2, text3, background_img_name, check_digit_img, fontsize=35, fontname=''.join(random.sample(FONTS, 1))):
"""Make an image out of a poem"""
text = text1 + " " + text2
#
# pad = int(20)
font = ImageFont.truetype(os.path.join(FONTS_PATH, fontname), fontsize)
num_lines = (1 + text.strip().count('\n'))
print("num_lines: " + str(num_lines))
# height = num_lines * font.getsize(text[:10])[1] + 2 * pad
# font_length = max(font.getsize(line)[0] for line in text.split('\n'))
# width = font_length + 2 * pad
image = Image.open(os.path.join(BG_PATH, background_img_name))
draw = ImageDraw.Draw(image)
draw.text((10, 0), text, (255, 255, 255), font=font)
img_resized = image.resize(image.size, Image.ANTIALIAS)
width1, height1 = img_resized.size
print("PIL_resized_img: ")
print("height: " + str(height1) + " width: " + str(width1))
width2, height2 = check_digit_img.size
check_digit_img = check_digit_img.resize((int(width2 / 1.4), int(height2 / 1.4)), Image.ANTIALIAS)
# 第三个参数是mask，设置成透明图
img_resized.paste(check_digit_img, (width1 - width2 + 10, 0), check_digit_img)
# img_resized.show()
# transformed_img = perspective_transform(img_resized)
#
# plt.imshow(transformed_img, cmap='gray', interpolation='nearest')
# plt.xticks([]), plt.yticks([]) # to hide tick values on X and Y axis
# plt.show()
# cv2.namedWindow('image', cv2.WINDOW_NORMAL)
# cv2.imshow("image", transformed_img)
# cv2.waitKey(0)
# cv2.destroyAllWindows()
str_filename = text1 + text2 + text3 + '-' + str(uuid.uuid1()) + '.jpg'
# img_resized.save(SAVE_PATH + str2)
return img_resized, str_filename
def draw_rect_number(number, fontsize=53, fontname=''.join(random.sample(FONTS, 1))):
# source_img = Image.open("D:\\ctn_ttf\\background_img\\size\\22G1-312.jpg")
transparent_img = Image.new('RGBA', (60, 60), (0, 0, 0, 0))
rect_text_draw = ImageDraw.Draw(transparent_img)
# put text on image
text_font = ImageFont.truetype(os.path.join(FONTS_PATH, fontname), fontsize)
text_size = text_font.getsize(str(number))
print(text_size[0], text_size[1])
text_x = 10
text_y = -3
rect_text_draw.text((text_x, text_y), str(number), font=text_font)
cor = (text_x - 5, text_y + 8, text_size[0] + 14, text_size[1] + 3) # (x1,y1, x2,y2)
line = (cor[0], cor[1], cor[0], cor[3])
rect_text_draw.line(line, fill="white", width=int(fontsize / 15))
line = (cor[0], cor[1], cor[2], cor[1])
rect_text_draw.line(line, fill="white", width=int(fontsize / 15))
line = (cor[0], cor[3], cor[2], cor[3])
rect_text_draw.line(line, fill="white", width=int(fontsize / 15))
line = (cor[2], cor[1], cor[2], cor[3])
rect_text_draw.line(line, fill="white", width=int(fontsize / 15))
# source_img.show()
return transparent_img.crop((0, 0, 40, 60))
# rect_text_draw.rectangle((text_x, text_y, text_size[0] + 20, text_size[1] + 10))
# put button on source image in position (0, 0)
# source_img.paste(button_img, (0, 0))
if __name__ == '__main__':
for i in range(1):
tmp1 = ''.join(random.sample(ID1, 1) + random.sample(ID1, 1) + random.sample(ID1, 1) + random.sample(ID1, 1))
tmp2 = ''.join(random.sample(ID2, 1) + random.sample(ID2, 1) + random.sample(ID2, 1) \
+ random.sample(ID2, 1) + random.sample(ID2, 1) + random.sample(ID2, 1))
tmp3 = ''.join(random.sample(ID3, 1))
img_resized, str_filename = make_image(tmp1, tmp2, tmp3, 'BG1.jpg', draw_rect_number(tmp3))
img_resized.save(os.path.join(SAVE_PATH, str_filename))
# transformed_img = perspective_transform(img_resized)
# transformed_img = perspective_transform_new(img_resized)
# cv2.imwrite(os.path.join(SAVE_PATH, str_filename), cv2.cvtColor(transformed_img, cv2.COLOR_RGB2BGR))
# plt.imshow(transformed_img, cmap='gray', interpolation='nearest')
# plt.xticks([]), plt.yticks([]) # to hide tick values on X and Y axis
# plt.show()
# draw_rect_number(9).show()
# cv2.namedWindow('image', cv2.WINDOW_NORMAL)
# cv2.imshow("image", draw_rect_number(9))
# cv2.waitKey(0)
# cv2.destroyAllWindows()
# list_image_file()
# for i in range(1):
# print(i)
# text, image = gen_captcha_text_and_image(i)