You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
212 lines
8.0 KiB
212 lines
8.0 KiB
# -*- coding: utf-8 -*-
|
|
import threading
|
|
import time
|
|
import tkinter as tk
|
|
import cv2
|
|
import config
|
|
import debug
|
|
import img_function as predict
|
|
import img_math
|
|
from threading import Thread
|
|
from tkinter import ttk
|
|
from tkinter.filedialog import *
|
|
from PIL import Image, ImageTk
|
|
|
|
|
|
class ThreadWithReturnValue(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 = None
|
|
|
|
def run(self):
|
|
if self._target is not None:
|
|
self._return1, self._return2, self._return3 = self._target(*self._args, **self._kwargs)
|
|
|
|
def join(self):
|
|
Thread.join(self)
|
|
return self._return1, self._return2, self._return3
|
|
|
|
|
|
class Surface(ttk.Frame):
|
|
pic_path = ""
|
|
viewhigh = 600
|
|
viewwide = 600
|
|
update_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="")
|
|
self.r_ct2.grid(column=0, row=8, sticky=tk.W)
|
|
self.color_ct2 = ttk.Label(frame_right1, text="")
|
|
self.color_ct2.grid(column=0, row=9, sticky=tk.W)
|
|
|
|
self.predictor = predict.CardPredictor()
|
|
self.predictor.train_svm()
|
|
|
|
def get_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 = 1
|
|
high = int(high * factor)
|
|
if high <= 0: high = 1
|
|
im = im.resize((wide, high), Image.ANTIALIAS)
|
|
imgtk = ImageTk.PhotoImage(image=im)
|
|
return imgtk
|
|
|
|
def show_roi1(self, r, roi, color):
|
|
if r:
|
|
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 < time.time():
|
|
self.roi_ctl.configure(state='disabled')
|
|
self.r_ctl.configure(text="")
|
|
self.color_ctl.configure(state='disabled')
|
|
|
|
def show_roi2(self, r, roi, color):
|
|
if r:
|
|
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 < time.time():
|
|
|
|
self.roi_ct2.configure(state='disabled')
|
|
self.r_ct2.configure(text="")
|
|
self.color_ct2.configure(state='disabled')
|
|
|
|
def show_img_pre(self):
|
|
|
|
filename = config.get_name()
|
|
if filename.any():
|
|
debug.img_show(filename)
|
|
|
|
#摄像头功能未实现
|
|
def from_vedio(self):
|
|
if self.thread_run:
|
|
return
|
|
if self.camera is None:
|
|
self.camera = cv2.VideoCapture(0)
|
|
if not self.camera.isOpened():
|
|
mBox.showwarning('警告', '摄像头打开失败！')
|
|
self.camera = None
|
|
return
|
|
self.thread = threading.Thread(target=self.vedio_thread, args=(self,))
|
|
self.thread.setDaemon(True)
|
|
self.thread.start()
|
|
self.thread_run = True
|
|
|
|
def from_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")])
|
|
if self.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)
|
|
|
|
@staticmethod
|
|
def vedio_thread(self):
|
|
self.thread_run = True
|
|
predict_time = time.time()
|
|
while self.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")
|
|
|
|
|
|
def close_window():
|
|
print("destroy")
|
|
if surface.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()
|