def main():
global index
import setup
args = setup.parser_args()
for index in range(args.amount):
global im
global draw
global filename
global kv_filename
global rotate_angle
global cx, cy
template_num = random.randint(1, 2)
im = Image.open('template2/tmp2_pic_template/pic' + str(template_num) +
'.jpg') # 随机挑选一个模板图
draw = ImageDraw.Draw(im)
rotate_angle = random.randint(-7, 7) # 生成随机的旋转角度（正数为逆时针）
'''
模板图片尺寸和处理后的图片尺寸是一致的
所以中心点是一样的
'''
img_tmp = cv.imread('template2/tmp2_pic_template/pic' +
str(template_num) + '.jpg')
h, w, c = img_tmp.shape # 获取图片的高和宽
cx, cy = w / 2, h / 2 # 得到中心坐标点
filename = 'template2/tmp2_res/txt/pic' + str(index) + '.txt'
kv_filename = 'template2/tmp2_res/key_value/pic' + str(
index) + '_kv.txt'
before_add(template_num)
add()
if args.strong_if == 1:
strong.adjust()
return 0
def part_bright():
args = setup.parser_args()
for i in range(args.amount):
for j in range(args.num):
img = cv2.imread('template1/tmp1_res/rotate/pic' + str(i) + '.jpg')
# 指定区域变暗
rows, cols, c = img.shape # rows = height, cols = width
dark = random.randint(-args.part_bright_coe, args.part_bright_coe)
with open('template1/tmp1_res/txt/pic' + str(i) + '.txt',
'r') as f:
lines = f.readlines()
tp = []
for line in lines[8:12]:
temp1 = line.strip('\n')
temp2 = temp1.split(',')
tp.extend(temp2)
# print(tp[0])
x1 = min(int(float(tp[0])), int(float(tp[-9])))
y1 = min(int(float(tp[1])), int(float(tp[3]))) - 50
x2 = max(int(float(tp[2])), int(float(tp[-3])))
y2 = max(int(float(tp[-4])), int(float(tp[-2])))
for x in range(y1, y2):
for y in range(x1, x2):
for z in range(c):
if (img[x, y, z] + dark) > 255:
img[x, y, z] = 255
elif (img[x, y, z] + dark) < 0:
img[x, y, z] = 0
else:
img[x, y, z] += dark
cv2.imwrite(
'template1/tmp1_res/part_bright/pic' + str(i) + '_' + str(j) +
'_part.jpg', img)
def sharp():
args = setup.parser_args()
for i in range(args.amount):
for j in range(args.num):
image = Image.open('template1/tmp1_res/rotate/pic' + str(i) +
'.jpg')
# 锐度增强
enh_sha = ImageEnhance.Sharpness(image)
cc4 = random.uniform(2.0 - args.sharp_limit,
2.0 + args.sharp_limit) # 锐度系数
sharpness = cc4
image_sharped = enh_sha.enhance(sharpness)
image_sharped.save('template1/tmp1_res/sharp/pic' + str(i) + '_' +
str(j) + '_sha.jpg')
def contrast():
args = setup.parser_args()
for i in range(args.amount):
for j in range(args.num):
image = Image.open('template1/tmp1_res/rotate/pic' + str(i) +
'.jpg')
# 对比度增强
enh_con = ImageEnhance.Contrast(image)
cc3 = random.uniform(1.0 - args.contrast_limit,
1.0 + args.contrast_limit) # 对比度系数
contrast_cc = cc3
image_contrasted = enh_con.enhance(contrast_cc)
image_contrasted.save('template1/tmp1_res/contrast/pic' + str(i) +
'_' + str(j) + '_con.jpg')
def color():
args = setup.parser_args()
for i in range(args.amount):
for j in range(args.num):
image = Image.open('template1/tmp1_res/rotate/pic' + str(i) +
'.jpg')
# 色度增强
enh_col = ImageEnhance.Color(image)
cc2 = random.uniform(1.0 - args.color_limit,
1.0 + args.color_limit) # 色度系数
color_cc = cc2
image_colored = enh_col.enhance(color_cc)
image_colored.save('template1/tmp1_res/color/pic' + str(i) + '_' +
str(j) + '_col.jpg')
def bright():
args = setup.parser_args()
for i in range(args.amount):
for j in range(args.num):
image = Image.open('template1/tmp1_res/rotate/pic' + str(i) +
'.jpg')
# 亮度增强
enh_bri = ImageEnhance.Brightness(image)
cc1 = random.uniform(1.0 - args.bright_limit,
1.0 + args.bright_limit) # 亮暗系数
brightness = cc1
image_brightened = enh_bri.enhance(brightness)
image_brightened.save('template1/tmp1_res/bright/pic' + str(i) +
'_' + str(j) + '_bri.jpg')
def adjust():
args = setup.parser_args()
s_type = args.strong_type
if s_type == 'bright':
bright()
elif s_type == 'color':
color()
elif s_type == 'contrast':
contrast()
elif s_type == 'sharp':
sharp()
elif s_type == 'part_bright':
part_bright()
else:
strong()
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# author: pfq time: 2020/7/28 0028
from PIL import Image
from PIL import ImageEnhance
import cv2
import random
import setup
args = setup.parser_args()
def bright():
for i in range(args.amount):
for j in range(args.num):
image = Image.open('template0/res/rotate/pic' + str(i) + '.jpg')
# 亮度增强
enh_bri = ImageEnhance.Brightness(image)
cc1 = random.uniform(1.0 - args.bright_limit,
1.0 + args.bright_limit) # 亮暗系数
brightness = cc1
image_brightened = enh_bri.enhance(brightness)
image_brightened.save('template0/res/bright/pic' + str(i) + '_' +
str(j) + '_bri.jpg')
def color():
for i in range(args.amount):
for j in range(args.num):
image = Image.open('template0/res/rotate/pic' + str(i) + '.jpg')
