车牌识别系统论文python_毕业设计 python opencv实现车牌识别 界面
#-*- coding: utf-8 -*-
__author__ = '樱花落舞'
importtkinter as tkfrom tkinter.filedialog import *
from tkinter importttkimportimg_function as predictimportcv2from PIL importImage, ImageTkimportthreadingimporttimeimportimg_mathimporttracebackimportdebugimportconfigfrom threading importThreadclassThreadWithReturnValue(Thread):def __init__(self, group=None, target=None, name=None, args=(), kwargs=None, *, daemon=None):
Thread.__init__(self, group, target, name, args, kwargs, daemon=daemon)
self._return1=None
self._return2=None
self._return3=Nonedefrun(self):if self._target is notNone:
self._return1,self._return2,self._return3= self._target(*self._args, **self._kwargs)defjoin(self):
Thread.join(self)returnself._return1,self._return2,self._return3classSurface(ttk.Frame):
pic_path= ""viewhigh= 600viewwide= 600update_time=0
thread=None
thread_run=False
camera=None
color_transform= {"green": ("绿牌", "#55FF55"), "yello": ("黄牌", "#FFFF00"), "blue": ("蓝牌", "#6666FF")}def __init__(self, win):
ttk.Frame.__init__(self, win)
frame_left=ttk.Frame(self)
frame_right1=ttk.Frame(self)
frame_right2=ttk.Frame(self)
win.title("车牌识别")
win.state("zoomed")
self.pack(fill=tk.BOTH, expand=tk.YES, padx="10", pady="10")
frame_left.pack(side=LEFT, expand=1, fill=BOTH)
frame_right1.pack(side=TOP, expand=1, fill=tk.Y)
frame_right2.pack(side=RIGHT, expand=0)
ttk.Label(frame_left, text='原图：').pack(anchor="nw")
ttk.Label(frame_right1, text='形状定位车牌位置：').grid(column=0, row=0, sticky=tk.W)
from_pic_ctl= ttk.Button(frame_right2, text="来自图片", width=20, command=self.from_pic)
from_vedio_ctl= ttk.Button(frame_right2, text="来自摄像头", width=20, command=self.from_vedio)
from_img_pre= ttk.Button(frame_right2, text="查看形状预处理图像", width=20,command =self.show_img_pre)
self.image_ctl=ttk.Label(frame_left)
self.image_ctl.pack(anchor="nw")
self.roi_ctl=ttk.Label(frame_right1)
self.roi_ctl.grid(column=0, row=1, sticky=tk.W)
ttk.Label(frame_right1, text='形状定位识别结果：').grid(column=0, row=2, sticky=tk.W)
self.r_ctl= ttk.Label(frame_right1, text="",font=('Times','20'))
self.r_ctl.grid(column=0, row=3, sticky=tk.W)
self.color_ctl= ttk.Label(frame_right1, text="", width="20")
self.color_ctl.grid(column=0, row=4, sticky=tk.W)
from_vedio_ctl.pack(anchor="se", pady="5")
from_pic_ctl.pack(anchor="se", pady="5")
from_img_pre.pack(anchor="se", pady="5")
ttk.Label(frame_right1, text='颜色定位车牌位置：').grid(column=0, row=5, sticky=tk.W)
self.roi_ct2=ttk.Label(frame_right1)
self.roi_ct2.grid(column=0, row=6, sticky=tk.W)
ttk.Label(frame_right1, text='颜色定位识别结果：').grid(column=0, row=7, sticky=tk.W)
self.r_ct2= ttk.Label(frame_right1, text="",font=('Times','20'))
self.r_ct2.grid(column=0, row=8, sticky=tk.W)
self.color_ct2= ttk.Label(frame_right1, text="", width="20")
self.color_ct2.grid(column=0, row=9, sticky=tk.W)
self.predictor=predict.CardPredictor()
self.predictor.train_svm()defget_imgtk(self, img_bgr):
img=cv2.cvtColor(img_bgr, cv2.COLOR_BGR2RGB)
im=Image.fromarray(img)
imgtk= ImageTk.PhotoImage(image=im)
wide=imgtk.width()
high=imgtk.height()if wide > self.viewwide or high >self.viewhigh:
wide_factor= self.viewwide /wide
high_factor= self.viewhigh /high
factor=min(wide_factor, high_factor)
wide= int(wide *factor)if wide <= 0: wide = 1high= int(high *factor)if high <= 0: high = 1im=im.resize((wide, high), Image.ANTIALIAS)
imgtk= ImageTk.PhotoImage(image=im)returnimgtkdefshow_roi1(self, r, roi, color):ifr:
roi=cv2.cvtColor(roi, cv2.COLOR_BGR2RGB)
roi=Image.fromarray(roi)
self.imgtk_roi= ImageTk.PhotoImage(image=roi)
self.roi_ctl.configure(image=self.imgtk_roi, state='enable')
self.r_ctl.configure(text=str(r))
self.update_time=time.time()try:
c=self.color_transform[color]
self.color_ctl.configure(text=c[0], background=c[1], state='enable')except:
self.color_ctl.configure(state='disabled')elif self.update_time + 8
self.roi_ctl.configure(state='disabled')
self.r_ctl.configure(text="")
self.color_ctl.configure(state='disabled')defshow_roi2(self, r, roi, color):ifr:
roi=cv2.cvtColor(roi, cv2.COLOR_BGR2RGB)
roi=Image.fromarray(roi)
self.imgtk_roi= ImageTk.PhotoImage(image=roi)
self.roi_ct2.configure(image=self.imgtk_roi, state='enable')
self.r_ct2.configure(text=str(r))
self.update_time=time.time()try:
c=self.color_transform[color]
self.color_ct2.configure(text=c[0], background=c[1], state='enable')except:
self.color_ct2.configure(state='disabled')elif self.update_time + 8
self.roi_ct2.configure(state='disabled')
self.r_ct2.configure(text="")
self.color_ct2.configure(state='disabled')defshow_img_pre(self):
filename=config.get_name()if filename.any() ==True:
debug.img_show(filename)deffrom_vedio(self):ifself.thread_run:return
if self.camera isNone:
self.camera=cv2.VideoCapture(0)if notself.camera.isOpened():
mBox.showwarning('警告', '摄像头打开失败！')
self.camera=Nonereturnself.thread= threading.Thread(target=self.vedio_thread, args=(self,))
self.thread.setDaemon(True)
self.thread.start()
self.thread_run=Truedeffrom_pic(self):
self.thread_run=False
self.pic_path= askopenfilename(title="选择识别图片", filetypes=[("jpg图片", "*.jpg"), ("png图片", "*.png")])ifself.pic_path:
img_bgr=img_math.img_read(self.pic_path)
first_img, oldimg=self.predictor.img_first_pre(img_bgr)
self.imgtk=self.get_imgtk(img_bgr)
self.image_ctl.configure(image=self.imgtk)
th1= ThreadWithReturnValue(target=self.predictor.img_color_contours,args=(first_img,oldimg))
th2= ThreadWithReturnValue(target=self.predictor.img_only_color,args=(oldimg,oldimg,first_img))
th1.start()
th2.start()
r_c, roi_c, color_c=th1.join()
r_color,roi_color,color_color=th2.join()print(r_c,r_color)
self.show_roi2(r_color, roi_color, color_color)
self.show_roi1(r_c, roi_c, color_c)
@staticmethoddefvedio_thread(self):
self.thread_run=True
predict_time=time.time()whileself.thread_run:
_, img_bgr=self.camera.read()
self.imgtk=self.get_imgtk(img_bgr)
self.image_ctl.configure(image=self.imgtk)if time.time() - predict_time > 2:
r, roi, color=self.predictor(img_bgr)
self.show_roi(r, roi, color)
predict_time=time.time()print("run end")defclose_window():print("destroy")ifsurface.thread_run:
surface.thread_run=False
surface.thread.join(2.0)
win.destroy()if __name__ == '__main__':
win=tk.Tk()
surface=Surface(win)#close,退出输出destroy
win.protocol('WM_DELETE_WINDOW', close_window)#进入消息循环
win.mainloop()