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Genplate.py
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import PIL
from PIL import ImageFont
from PIL import Image
from PIL import ImageDraw
from cv2 import cv2
import numpy as np
import os
index = {"京": 0, "沪": 1, "津": 2, "渝": 3, "冀": 4, "晋": 5, "蒙": 6, "辽": 7, "吉": 8, "黑": 9, "苏": 10, "浙": 11, "皖": 12,
"闽": 13, "赣": 14, "鲁": 15, "豫": 16, "鄂": 17, "湘": 18, "粤": 19, "桂": 20, "琼": 21, "川": 22, "贵": 23, "云": 24,
"藏": 25, "陕": 26, "甘": 27, "青": 28, "宁": 29, "新": 30, "0": 31, "1": 32, "2": 33, "3": 34, "4": 35, "5": 36,
"6": 37, "7": 38, "8": 39, "9": 40, "A": 41, "B": 42, "C": 43, "D": 44, "E": 45, "F": 46, "G": 47, "H": 48,
"J": 49, "K": 50, "L": 51, "M": 52, "N": 53, "P": 54, "Q": 55, "R": 56, "S": 57, "T": 58, "U": 59, "V": 60,
"W": 61, "X": 62, "Y": 63, "Z": 64}
chars = ["京", "沪", "津", "渝", "冀", "晋", "蒙", "辽", "吉", "黑", "苏", "浙", "皖", "闽", "赣", "鲁", "豫", "鄂", "湘", "粤", "桂",
"琼", "川", "贵", "云", "藏", "陕", "甘", "青", "宁", "新", "0", "1", "2", "3", "4", "5", "6", "7", "8", "9", "A",
"B", "C", "D", "E", "F", "G", "H", "J", "K", "L", "M", "N", "P", "Q", "R", "S", "T", "U", "V", "W", "X",
"Y", "Z"
]
def R(val):
return int(np.random.random()*val)
def rotRandrom(img,factor,shape):
src_points=np.float32([[0,0],[0,shape[0]],[shape[1],0],[shape[1],shape[0]]]) #Original Four Point From input image
dst_points=np.float32([[R(factor),R(factor)],[R(factor),shape[0]-R(factor)],
[shape[1]-R(factor),R(factor)],[shape[1]-R(factor),shape[0]-R(factor)]])
Transfer=cv2.getPerspectiveTransform(src_points,dst_points)
output=cv2.warpPerspective(img,Transfer,shape)
return output
def GaussBlur(img,level):
img=cv2.GaussianBlur(img,(level*2+1,level*2+1),0)
cv2.imshow("bg",img)
cv2.waitKey()
return img
def Add_Env(img,env_set):
index=R(len(env_set))
env=cv2.imread(env_set[index])
env=cv2.resize(env,(img.shape[1],img.shape[0]))
for i in range(0,img.shape[1]):
for j in range(0,img.shape[0]):
if img[j][i].any()==0:
img[j][i]=env[j][i]
return img
class GenPlate:
def __init__(self,Zhttf,Enttf,Env_Path,flag):
self.fontZh=ImageFont.truetype(Zhttf,43,0)
self.fontEn=ImageFont.truetype(Enttf,60,0)
self.img=np.array(Image.new("RGB",(226,70),(255,255,255)))
self.bg = cv2.resize(cv2.imread("/home/ly0kos/Car/images/template.bmp"),(226,70))
self.smu = cv2.imread("/home/ly0kos/Car/images/smu2.jpg")
self.env_path=[]
for root,dir,filename in os.walk(Env_Path):
for name in filename:
path=os.path.join(root,name)
self.env_path.append(path)
self.save_flag=flag
def GenZh(self,font,text):
img=Image.new("RGB",(45,70),(255,255,255))
draw=ImageDraw.Draw(img)
draw.text((0,3),text,(0,0,0),font=font)
img=img.resize((23,70))
img=np.array(img)
return img
def GenEN(self,font,text):
img=Image.new("RGB",(23,70),(255,255,255))
draw=ImageDraw.Draw(img)
draw.text((0,2),text,(0,0,0),font=font)
img=np.array(img)
return img
def draw(self,text):
offset= 2
self.img[0:70,offset+8:offset+8+23]= self.GenZh(self.fontZh,text[0])
self.img[0:70,offset+8+23+6:offset+8+23+6+23]= self.GenEN(self.fontEn,text[1])
for i in range(5):
base = offset+8+23+6+23+17 +i*23 + i*6
self.img[0:70, base : base+23]= self.GenEN(self.fontEn,text[i+2])
return self.img
def genStr(self):
Str=""
pos=0
label=np.empty((7,1),dtype=np.int64)
while (pos<7):
if pos==0:
temp=np.random.randint(0,31)
Str += chars[temp] #Chinese Char
label[pos]=temp
pos +=1
elif pos==1:
temp=np.random.randint(41,65)
Str+=chars[temp] #EnglishAlphabet
label[pos]=temp
pos+=1
else:
temp=np.random.randint(31,41)
Str+=chars[temp]
label[pos]=temp
pos+=1
return label,Str
def generate(self,text):
plate=self.draw(text)
plate=cv2.bitwise_not(plate) #黑底白字
plate=cv2.bitwise_or(plate,self.bg) #加入背景
plate=rotRandrom(plate,15,(plate.shape[1],plate.shape[0]))
plate=Add_Env(plate,self.env_path)
plate=GaussBlur(plate,1+R(7))
return plate
def genBatch(self,batchSize,outputPath,size):
data=[]
label=np.empty((batchSize,7,1))
if not os.path.exists(outputPath):
os.mkdir(outputPath)
for i in range(batchSize):
num,plateStr=self.genStr()
img=self.generate(plateStr)
img = cv2.resize(img,size)
data.append(img)
label[i]=num
if self.save_flag==1:
filename = os.path.join(outputPath, str(i).zfill(4) + '.' + plateStr + ".jpg")
cv2.imwrite(filename, img)
return data,label