PulseFocusPlatform/main.py

import random
import string
# from typing_extensions import ParamSpecArgs
from PyQt5.QtWidgets import *
from SSS_win import Ui_MainWindow
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtCore import Qt

import sys, os

import math
import time
import threading
import numpy as np

# 使用matplotlib绘图
import matplotlib
matplotlib.use("Qt5Agg")  # 声明使用QT5
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5 import NavigationToolbar2QT as NavigationToolbar
from matplotlib.figure import Figure
import matplotlib.pyplot as plt

import cv2
import threading
import sys
global path1
import inspect
import ctypes




class mywindow(QtWidgets.QMainWindow, Ui_MainWindow):
    def __init__(self):
        super(mywindow, self).__init__()
        self.setupUi(self)

        self.stopEvent = threading.Event()
        self.stopEvent.clear()
        # self.setWindowFlags(Qt.FramelessWindowHint)

    def exit(self):
        self.close()

    def press_shibie(self):
        try:
            if self.model_name == 'PPYOLO-BOT':
                self.model_path = './inference_model/ppyolov2_r50vd_dcn_voc'
            elif self.model_name == 'RCNN':
                self.model_path = '.\\inference_model\\faster_rcnn'
            #elif self.model_name == 'YOLOV3':
                #self.model_path = '.\\inference_model\\yolov3'
        except:
            self.model_path = './inference_model/ppyolov2_r50vd_dcn_voc'
        if self.Video_fname != None :
            self.video_image_path = './video_output/'+self.Video_fname.split('/')[-1].split('.')[0]
            th4 = threading.Thread(target=self.video_yuce)
            th4.start()
            th3 = threading.Thread(target=self.Images_Display)
            th3.start()
        else:
            th5 = threading.Thread(target=self.Image_yuce)
            th5.start()


    def video_yuce(self):
        print('cd {}'.format(self.path1))
        print(
            'python deploy/python/infer.py --model_dir={} --video_file={} --use_gpu=True'.format(self.model_path, self.Video_fname))
        os.system('cd {}'.format(self.path1))
        os.system(
            'python deploy/python/infer.py --model_dir={} --image_dir={} --output_dir=./video_output/{} --threshold=0.3 --use_gpu=True'.format(
                self.model_path,'./linshicunfang' ,self.Video_fname.split('/')[-1].split('.')[0]))
        # print(self.path1+'video_output/'+self.Video_fname.split('/')[-1])
        # self.cap = cv2.VideoCapture(
        #     self.path1+'video_output/'+self.Video_fname.split('/')[-1])
        # self.framRate = self.cap.get(cv2.CAP_PROP_FPS
        # th = threading.Thread(target=self.Display)

    def Images_Display(self):
        img_list=[]
        img_number=9
        while 1:
            try:
                files=os.listdir(self.video_image_path)
                for imgFile in files:
                    if int(imgFile.strip('.jpg').split('_')[0])==int(img_number):
                        print(imgFile)
                        self.label_movie.setPixmap(QtGui.QPixmap(
                        self.video_image_path+'/'+imgFile))
                        img_number += 10
                        flv = 0
                        gx = 0
                        mbw = 0
                        object = 0
                        print([int(i) for i in imgFile.strip('.jpg').split('_')[1:]])
                        for i in [int(i) for i in imgFile.strip('.jpg').split('_')[1:]]:
                            i = int(i)
                            if i == 0:
                                flv+=1
                            if i == 1:
                                gx+=1
                            if i == 2:
                                mbw+=1
                            if i == 3:
                                object+=1
                        if flv>=1 or gx>=1 or mbw>=1 or object>=1:
                            print(flv,gx,mbw)
                            self.flv.setText(str(flv))
                            self.gx.setText(str(gx))
                            self.mbw.setText(str(mbw))
                            self.label_object.setText(str(object))
                        time.sleep(0.5)
                        img_list.append(imgFile)
                        #print("8"*100)
                if len(img_list) == len(os.listdir('./linshicunfang')):
                    for i in os.listdir('./linshicunfang'):
                        os.remove('./linshicunfang/'+i)
                    print('1'*100)
                    break
                            
            except Exception as e:
                pass





        # files=os.listdir(self.video_image_path)
        # print(type(files))
        # files=self.Sorted(files)
        # print(files)
        # for xmlFile in files:
        #     print(xmlFile)
        #     self.label_movie.setPixmap(QtGui.QPixmap(
        #     self.video_image_path+'/'+xmlFile))
        #     time.sleep(0.5)

    def Sorted(self,files):
        files=[int(i.split('.')[0]) for i in files]
        files.sort()
        files=[str(i)+'.jpg' for i in files]
        return files


    def Image_yuce(self):
        print('cd {}'.format(self.path1))
        print(
            'python deploy/python/infer.py --model_dir={} --image_file={} --use_gpu=True'.format(self.model_path, self.Img_fname))
        os.system('cd {}'.format(self.path1))
        os.system(
            'python deploy/python/infer.py --model_dir={} --image_file={} --output_dir=./output --threshold=0.3 --use_gpu=True --cpu_threads=4'.format(
                self.model_path, self.Img_fname))
        print(self.path1+'output/'+self.Img_fname.split('/')[-1])
        files=os.listdir(self.path1+'output/')
        for i in files:
            if i.strip('.jpg').split('_')[0]+'.jpg'==self.Img_fname.split('/')[-1]:
                self.label_movie.setPixmap(QtGui.QPixmap(
                    self.path1+'output/'+i))
                flv = 0
                gx = 0
                mbw = 0
                object = 0
                for x in [int(m) for m in i.strip('.jpg').split('_')[1:]]:
                    x = int(x)
                    if x == 0:
                        flv+=1
                    if x == 1:
                        gx+=1
                    if x == 2:
                        mbw+=1
                    if x == 3:
                        object+=1
                    if flv>=1 or gx>=1 or mbw>=1 or object>=1:
                        print(flv,gx,mbw)
                        self.flv.setText(str(flv))
                        self.gx.setText(str(gx))
                        self.mbw.setText(str(mbw))
                        self.label_object.setText(str(object))
                break
        sys.exit(0)

            
            


    def press_xunlian(self):
        print('3')

    def Close(self):
        self.stopEvent.set()


    def Display(self):
        while self.cap.isOpened():
            success, frame = self.cap.read()
            frame = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)
            img = QtGui.QImage(frame.data,frame.shape[1],frame.shape[0], QtGui.QImage.Format_RGB888)
            self.label_movie.setPixmap(QtGui.QPixmap.fromImage(img))
            self.label_movie.setScaledContents(True)

            cv2.waitKey(int(1000/self.framRate))

            if True == self.stopEvent.is_set():
                self.stopEvent.clear()
                self.label_movie.clear()
                break

    def Split(self):
        img_id = 0
        while (1):
            success, frame = self.cap2.read()
            img_outpath = './linshicunfang/'+str(img_id)+'.jpg'
            img_id += 1
            if not img_id % 10:
                cv2.imwrite(img_outpath, frame)
            if img_id == self.frame_count:
                break
        frame_count = self.cap.get(cv2.CAP_PROP_FRAME_COUNT)


    def press_movie(self):
        print('4')
        self.path1 = os.path.abspath(__file__)
        self.path1 = self.path1.strip('main.py')
        print(self.path1)
        self.Video_fname, self.fileType = QFileDialog.getOpenFileName(self,"选择文件",os.getcwd(),"All Files (*);;MP4 Files (*.mp4)")
        self.cap = cv2.VideoCapture(self.Video_fname)
        self.cap2 = cv2.VideoCapture(self.Video_fname)
        self.framRate = self.cap.get(cv2.CAP_PROP_FPS)
        self.frame_count = self.cap.get(cv2.CAP_PROP_FRAME_COUNT)
        th2 = threading.Thread(target=self.Split)
        th2.start()
        # self.th = threading.Thread(target=self.Display)
        # self.th.start()





    def import_pic(self):
        self.Video_fname = None
        # 打开图像读取对话框
        self.path1 = os.path.abspath(__file__)
        self.path1 = self.path1.strip('main.py')
        print(self.path1)

        # 打开图像读取对话框
        self.Img_fname, _ = QFileDialog.getOpenFileName(self, '打开照片', '.', '图像文件(*.jpg *.png)')
        self.label_movie.setPixmap(QtGui.QPixmap(self.Img_fname))
        pass




        print('1')



    def gpu_use(self,index):
        self.gpu = self.comboBox_GPU.itemText(index)
        print(self.gpu)


    def moxingxuanze(self,index):
        self.model_name = self.comboBox_sbsuanfa.itemText(index)
        pass



if __name__ == '__main__':
    QApplication.setAttribute(QtCore.Qt.AA_EnableHighDpiScaling)
    app = QApplication(sys.argv)
    window = mywindow()
    # window.showMaximized()
    window.show()
    sys.exit(app.exec_())