forked from PulseFocusPlatform/PulseFocusPlatform
281 lines
9.3 KiB
Python
281 lines
9.3 KiB
Python
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import random
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import string
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# from typing_extensions import ParamSpecArgs
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from PyQt5.QtWidgets import *
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from SSS_win import Ui_MainWindow
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from PyQt5 import QtCore, QtGui, QtWidgets
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from PyQt5.QtCore import Qt
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import sys, os
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import math
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import time
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import threading
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import numpy as np
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# 使用matplotlib绘图
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import matplotlib
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matplotlib.use("Qt5Agg") # 声明使用QT5
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from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
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from matplotlib.backends.backend_qt5 import NavigationToolbar2QT as NavigationToolbar
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from matplotlib.figure import Figure
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import matplotlib.pyplot as plt
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import cv2
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import threading
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import sys
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global path1
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import inspect
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import ctypes
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class mywindow(QtWidgets.QMainWindow, Ui_MainWindow):
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def __init__(self):
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super(mywindow, self).__init__()
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self.setupUi(self)
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self.stopEvent = threading.Event()
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self.stopEvent.clear()
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# self.setWindowFlags(Qt.FramelessWindowHint)
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def exit(self):
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self.close()
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def press_shibie(self):
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try:
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if self.model_name == 'PPYOLO-BOT':
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self.model_path = './inference_model/ppyolov2_r50vd_dcn_voc'
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elif self.model_name == 'RCNN':
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self.model_path = '.\\inference_model\\faster_rcnn'
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#elif self.model_name == 'YOLOV3':
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#self.model_path = '.\\inference_model\\yolov3'
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except:
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self.model_path = './inference_model/ppyolov2_r50vd_dcn_voc'
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if self.Video_fname != None :
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self.video_image_path = './video_output/'+self.Video_fname.split('/')[-1].split('.')[0]
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th4 = threading.Thread(target=self.video_yuce)
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th4.start()
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th3 = threading.Thread(target=self.Images_Display)
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th3.start()
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else:
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th5 = threading.Thread(target=self.Image_yuce)
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th5.start()
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def video_yuce(self):
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print('cd {}'.format(self.path1))
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print(
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'python deploy/python/infer.py --model_dir={} --video_file={} --use_gpu=True'.format(self.model_path, self.Video_fname))
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os.system('cd {}'.format(self.path1))
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os.system(
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'python deploy/python/infer.py --model_dir={} --image_dir={} --output_dir=./video_output/{} --threshold=0.3 --use_gpu=True'.format(
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self.model_path,'./linshicunfang' ,self.Video_fname.split('/')[-1].split('.')[0]))
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# print(self.path1+'video_output/'+self.Video_fname.split('/')[-1])
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# self.cap = cv2.VideoCapture(
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# self.path1+'video_output/'+self.Video_fname.split('/')[-1])
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# self.framRate = self.cap.get(cv2.CAP_PROP_FPS)
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# th = threading.Thread(target=self.Display)
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# th.start()
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def Images_Display(self):
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img_list=[]
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img_number=9
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while 1:
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try:
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files=os.listdir(self.video_image_path)
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for imgFile in files:
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if int(imgFile.strip('.jpg').split('_')[0])==int(img_number):
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print(imgFile)
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self.label_movie.setPixmap(QtGui.QPixmap(
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self.video_image_path+'/'+imgFile))
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img_number += 10
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flv = 0
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gx = 0
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mbw = 0
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object = 0
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print([int(i) for i in imgFile.strip('.jpg').split('_')[1:]])
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for i in [int(i) for i in imgFile.strip('.jpg').split('_')[1:]]:
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i = int(i)
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if i == 0:
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flv+=1
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if i == 1:
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gx+=1
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if i == 2:
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mbw+=1
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if i == 3:
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object+=1
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if flv>=1 or gx>=1 or mbw>=1 or object>=1:
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print(flv,gx,mbw)
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self.flv.setText(str(flv))
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self.gx.setText(str(gx))
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self.mbw.setText(str(mbw))
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self.label_object.setText(str(object))
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time.sleep(0.5)
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img_list.append(imgFile)
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#print("8"*100)
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if len(img_list) == len(os.listdir('./linshicunfang')):
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for i in os.listdir('./linshicunfang'):
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os.remove('./linshicunfang/'+i)
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print('1'*100)
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break
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except Exception as e:
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pass
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# files=os.listdir(self.video_image_path)
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# print(type(files))
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# files=self.Sorted(files)
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# print(files)
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# for xmlFile in files:
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# print(xmlFile)
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# self.label_movie.setPixmap(QtGui.QPixmap(
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# self.video_image_path+'/'+xmlFile))
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# time.sleep(0.5)
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def Sorted(self,files):
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files=[int(i.split('.')[0]) for i in files]
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files.sort()
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files=[str(i)+'.jpg' for i in files]
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return files
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def Image_yuce(self):
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print('cd {}'.format(self.path1))
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print(
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'python deploy/python/infer.py --model_dir={} --image_file={} --use_gpu=True'.format(self.model_path, self.Img_fname))
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os.system('cd {}'.format(self.path1))
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os.system(
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'python deploy/python/infer.py --model_dir={} --image_file={} --output_dir=./output --threshold=0.3 --use_gpu=True --cpu_threads=4'.format(
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self.model_path, self.Img_fname))
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print(self.path1+'output/'+self.Img_fname.split('/')[-1])
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files=os.listdir(self.path1+'output/')
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for i in files:
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if i.strip('.jpg').split('_')[0]+'.jpg'==self.Img_fname.split('/')[-1]:
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self.label_movie.setPixmap(QtGui.QPixmap(
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self.path1+'output/'+i))
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flv = 0
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gx = 0
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mbw = 0
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object = 0
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for x in [int(m) for m in i.strip('.jpg').split('_')[1:]]:
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x = int(x)
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if x == 0:
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flv+=1
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if x == 1:
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gx+=1
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if x == 2:
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mbw+=1
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if x == 3:
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object+=1
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if flv>=1 or gx>=1 or mbw>=1 or object>=1:
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print(flv,gx,mbw)
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self.flv.setText(str(flv))
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self.gx.setText(str(gx))
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self.mbw.setText(str(mbw))
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self.label_object.setText(str(object))
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break
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sys.exit(0)
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def press_xunlian(self):
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print('3')
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def Close(self):
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self.stopEvent.set()
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def Display(self):
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while self.cap.isOpened():
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success, frame = self.cap.read()
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frame = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)
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img = QtGui.QImage(frame.data,frame.shape[1],frame.shape[0], QtGui.QImage.Format_RGB888)
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self.label_movie.setPixmap(QtGui.QPixmap.fromImage(img))
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self.label_movie.setScaledContents(True)
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cv2.waitKey(int(1000/self.framRate))
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if True == self.stopEvent.is_set():
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self.stopEvent.clear()
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self.label_movie.clear()
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break
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def Split(self):
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img_id = 0
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while (1):
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success, frame = self.cap2.read()
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img_outpath = './linshicunfang/'+str(img_id)+'.jpg'
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img_id += 1
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if not img_id % 10:
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cv2.imwrite(img_outpath, frame)
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if img_id == self.frame_count:
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break
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frame_count = self.cap.get(cv2.CAP_PROP_FRAME_COUNT)
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def press_movie(self):
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print('4')
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self.path1 = os.path.abspath(__file__)
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self.path1 = self.path1.strip('main.py')
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print(self.path1)
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self.Video_fname, self.fileType = QFileDialog.getOpenFileName(self,"选择文件",os.getcwd(),"All Files (*);;MP4 Files (*.mp4)")
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self.cap = cv2.VideoCapture(self.Video_fname)
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self.cap2 = cv2.VideoCapture(self.Video_fname)
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self.framRate = self.cap.get(cv2.CAP_PROP_FPS)
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self.frame_count = self.cap.get(cv2.CAP_PROP_FRAME_COUNT)
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th2 = threading.Thread(target=self.Split)
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th2.start()
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# self.th = threading.Thread(target=self.Display)
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# self.th.start()
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def import_pic(self):
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self.Video_fname = None
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# 打开图像读取对话框
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self.path1 = os.path.abspath(__file__)
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self.path1 = self.path1.strip('main.py')
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print(self.path1)
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# 打开图像读取对话框
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self.Img_fname, _ = QFileDialog.getOpenFileName(self, '打开照片', '.', '图像文件(*.jpg *.png)')
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self.label_movie.setPixmap(QtGui.QPixmap(self.Img_fname))
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pass
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print('1')
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def gpu_use(self,index):
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self.gpu = self.comboBox_GPU.itemText(index)
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print(self.gpu)
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def moxingxuanze(self,index):
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self.model_name = self.comboBox_sbsuanfa.itemText(index)
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pass
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if __name__ == '__main__':
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QApplication.setAttribute(QtCore.Qt.AA_EnableHighDpiScaling)
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app = QApplication(sys.argv)
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window = mywindow()
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# window.showMaximized()
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window.show()
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sys.exit(app.exec_())
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