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GUI.py
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GUI.py
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# -*-coding: utf-8 -*-
import socket
import time
import cv2
from tkinter import filedialog
import tkinter as tk # 导入GUI界面函数库
import threading
import os
import sys
import numpy as np
from Utils.jsonKit import dumpJson, loadJson
curPath = os.path.abspath(os.path.dirname(__file__))
rootPath = os.path.split(curPath)[0]
sys.path.append(curPath)
sys.path.append(os.path.join(curPath, 'LicensePlate'))
sys.path.append(os.path.join(curPath, 'theyolo'))
import demo
addr = '127.0.0.1'
recv_port = 7777
socket_ = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
position = {
# 左灯
'left_light': [],
# 右灯
'right_light': [],
# 中间的灯
'center_light': [],
# 斑马线
'zebra_crossing': [],
# 禁停区
'no_area': []
}
json_name = ""
image_path = ""
color_flag = (0, 0, 255)
lights = []
zebra = []
no_area = []
def is_like(mu_ban, img_gray, threshold, k_w, k_h, type):
template = cv2.imread(mu_ban, 0)
h, w = template.shape[:2]
true_res = cv2.matchTemplate(img_gray, template, cv2.TM_CCOEFF_NORMED)
loc = np.where(true_res >= threshold)
if type == 'light':
for pt in zip(*loc[::-1]): # *号表示可选参数
lights.append([pt[0] * k_w, pt[1] * k_h, (pt[0] + w) * k_w, (pt[1] + h) * k_h])
elif type == 'zebra':
for pt in zip(*loc[::-1]):
zebra.append([pt[0] * k_w, pt[1] * k_h, (pt[0] + w) * k_w, (pt[1] + h) * k_h])
elif type == 'no_area':
for pt in zip(*loc[::-1]):
no_area.append([pt[0] * k_w, pt[1] * k_h, (pt[0] + w) * k_w, (pt[1] + h) * k_h])
def pre_do(img_name):
if 'line' in img_name:
zebra.append([464, 766, 3500, 1408])
no_area.append([60, 459, 630, 745])
no_area.append([799, 342, 1180, 480])
no_area.append([3223, 456, 3780, 680])
elif 'mid' in img_name:
zebra.append([8, 924, 3466, 1315])
elif 'small' in img_name:
zebra.append([13, 735, 3814, 1029])
lights.append([1970, 128, 2030, 155])
lights.append([2039, 128, 2127, 155])
elif 'big' in img_name:
zebra.append([18, 705, 3782, 996])
lights.append([1885, 207, 1933, 237])
lights.append([1935, 202, 1976, 237])
def open_file():
# 打开文件选择窗口选择图片，图片名赋值给image_path
global image_path, position
image_path = filedialog.askopenfilename()
if image_path == "":
print("no image path")
else:
position.clear()
lights.clear()
no_area.clear()
zebra.clear()
right_text.delete('1.0', 'end')
info_text.delete('1.0', 'end')
illegal_text.delete('1.0', 'end')
illegal_text1.delete('1.0', 'end')
illegal_text2.delete('1.0', 'end')
cv2.destroyAllWindows()
position = {
# 左灯
'left_light': [],
# 右灯
'right_light': [],
# 中间的灯
'center_light': [],
# 斑马线
'zebra_crossing': [],
# 禁停区
'no_area': []
}
video_cap = cv2.VideoCapture(image_path)
ret, image = video_cap.read()
h, w = image.shape[:2]
if ret is True:
k_w = w / (w // 2)
k_h = h / (h // 2)
res_img = cv2.resize(image, (w // 2, h // 2))
img_gray = cv2.cvtColor(res_img, cv2.COLOR_BGR2GRAY)
is_like('Image/coin1.png', img_gray, 0.8, k_w, k_h, 'light')
is_like('Image/coin2.png', img_gray, 0.8, k_w, k_h, 'light')
is_like('Image/coin3.png', img_gray, 0.8, k_w, k_h, 'light')
is_like('Image/coin4.png', img_gray, 0.8, k_w, k_h, 'light')
is_like('Image/coin5.png', img_gray, 0.8, k_w, k_h, 'light')
is_like('Image/coin6.png', img_gray, 0.9, k_w, k_h, 'light')
is_like('Image/coin7.png', img_gray, 0.95, k_w, k_h, 'zebra')
is_like('Image/coin8.png', img_gray, 0.90, k_w, k_h, 'zebra')
is_like('Image/coin9.png', img_gray, 0.99, k_w, k_h, 'zebra')
is_like('Image/coin10.png', img_gray, 0.99, k_w, k_h, 'no_area')
is_like('Image/coin11.png', img_gray, 0.90, k_w, k_h, 'no_area')
pre_do(image_path)
cv2.imshow("video", res_img)
if len(lights) == 1:
position['center_light'].append(
[int(lights[0][0]), int(lights[0][1]), int(lights[0][2]), int(lights[0][3])])
elif len(lights) == 2:
position['left_light'].append(
[int(lights[0][0]), int(lights[0][1]), int(lights[0][2]), int(lights[0][3])])
position['center_light'].append(
[int(lights[1][0]), int(lights[1][1]), int(lights[1][2]), int(lights[1][3])])
elif len(lights) == 3:
position['left_light'].append([int(lights[0][0]), int(lights[0][1]), int(lights[0][2]), int(lights[0][3])])
position['center_light'].append(
[int(lights[1][0]), int(lights[1][1]), int(lights[1][2]), int(lights[1][3])])
position['right_light'].append([int(lights[2][0]), int(lights[2][1]), int(lights[2][2]), int(lights[2][3])])
if len(zebra) == 1:
position['zebra_crossing'].append([int(zebra[0][0]), int(zebra[0][1]), int(zebra[0][2]), int(zebra[0][3])])
if len(no_area) != 0:
for val in no_area:
position['no_area'].append([int(val[0]), int(val[1]), int(val[2]), int(val[3])])
# print(position)
def learn():
global json_name, image_path, position
socket_ = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
cv2.destroyAllWindows()
dumpJson(position, 'Weights/handrec.json')
if json_name != "":
detect = demo.Detect(json_file=json_name)
else:
detect = demo.Detect()
detect.video(image_path)
socket_.close()
def start_learn():
global position
th1 = threading.Thread(target=learn)
th2 = threading.Thread(target=counter)
th1.start()
th2.start()
def counter():
try:
socket_.bind(('127.0.0.1', recv_port))
except OSError:
pass
while True:
k = socket_.recv(10240).decode()
if ('-速度' in k) or ('-品牌类型' in k):
right_text.delete(1.0, 'end')
right_text.insert(tk.INSERT, k)
elif '车辆' in k:
info_text.delete(1.0, 'end')
info_text.insert(tk.INSERT, k)
elif '超速' in k:
illegal_text.delete(1.0, 'end')
illegal_text.insert(tk.INSERT, k)
elif '不按导向' in k:
illegal_text2.delete(1.0, 'end')
illegal_text2.insert(tk.INSERT, k)
elif '礼让行人' in k:
illegal_text1.delete(1.0, 'end')
illegal_text1.insert(tk.INSERT, k)
if __name__ == '__main__':
window = tk.Tk() # 创建一个Tkinter.Tk()实例
window.title('Intelligent transportation system')
window.geometry('690x880+500-100') # 几何
imgLabel0 = tk.Label(window, text="基于计算机视觉的交通场景智能应用", fg='black', font=('微软雅黑', 16)) #
imgLabel0.place(x=100, y=0)
button = tk.Button(window, text='选择视频', width=12, height=2, command=open_file)
button.place(x=50, y=50)
photo1 = tk.PhotoImage(file="./Image/1.gif")
imgLabel1 = tk.Label(window, image=photo1, width=60, height=50)
imgLabel1.place(x=150, y=46)
close_btn = tk.Button(window, text='开始识别', width=12, height=2, command=start_learn)
close_btn.place(x=350, y=50)
photo9 = tk.PhotoImage(file="./Image/9.gif")
imgLabel9 = tk.Label(window, image=photo9, width=60, height=50)
imgLabel9.place(x=450, y=46)
result = tk.Label(text='实时路口交通流量统计', fg='black', font=('微软雅黑', 13))
result.place(x=10, y=150, anchor='sw')
info_text = tk.Text(window, width=30, height=10)
info_text.place(x=10, y=160, anchor='nw')
result = tk.Label(text='汽车类型、车牌号及实时车速', fg='black', font=('微软雅黑', 13))
result.place(x=350, y=150, anchor='sw')
right_text = tk.Text(window, width=45, height=35)
right_text.place(x=350, y=160, anchor='nw')
result = tk.Label(text='超速行驶违规', fg='black', font=('微软雅黑', 13))
result.place(x=10, y=305, anchor='nw')
illegal_text = tk.Text(window, width=45, height=10)
illegal_text.place(x=10, y=345, anchor='nw')
result = tk.Label(text='车辆不礼让行人违规', fg='black', font=('微软雅黑', 13))
result.place(x=10, y=495, anchor='nw')
illegal_text1 = tk.Text(window, width=45, height=10)
illegal_text1.place(x=10, y=525, anchor='nw')
result = tk.Label(text='不按导向行驶违规', fg='black', font=('微软雅黑', 13))
result.place(x=10, y=680, anchor='nw')
illegal_text2 = tk.Text(window, width=45, height=10)
illegal_text2.place(x=10, y=715, anchor='nw')
window.mainloop()