626 lines
26 KiB
Python
626 lines
26 KiB
Python
# -*- coding: utf-8 -*-
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import time
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from PyQt5.QtWidgets import QApplication , QMainWindow, QFileDialog, \
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QMessageBox,QWidget,QHeaderView,QTableWidgetItem, QAbstractItemView
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import sys
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import os
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from PIL import ImageFont
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from ultralytics import YOLO
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sys.path.append('UIProgram')
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from UIProgram.UiMain import Ui_MainWindow
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import sys
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from PyQt5.QtCore import QTimer, Qt, QThread, pyqtSignal,QCoreApplication
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import detect_tools as tools
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import cv2
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import Config
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from UIProgram.QssLoader import QSSLoader
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from UIProgram.precess_bar import ProgressBar
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import numpy as np
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import torch
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class MainWindow(QMainWindow):
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def __init__(self, parent=None):
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super(QMainWindow, self).__init__(parent)
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self.ui = Ui_MainWindow()
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self.ui.setupUi(self)
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self.initMain()
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self.signalconnect()
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# 加载css渲染效果
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style_file = 'UIProgram/style.css'
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qssStyleSheet = QSSLoader.read_qss_file(style_file)
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self.setStyleSheet(qssStyleSheet)
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self.conf = 0.25
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self.iou = 0.7
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def signalconnect(self):
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self.ui.PicBtn.clicked.connect(self.open_img)
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self.ui.comboBox.activated.connect(self.combox_change)
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self.ui.VideoBtn.clicked.connect(self.vedio_show)
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self.ui.CapBtn.clicked.connect(self.camera_show)
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self.ui.SaveBtn.clicked.connect(self.save_detect_video)
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self.ui.ExitBtn.clicked.connect(QCoreApplication.quit)
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self.ui.FilesBtn.clicked.connect(self.detact_batch_imgs)
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def initMain(self):
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self.show_width = 770
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self.show_height = 480
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self.org_path = None
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self.is_camera_open = False
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self.cap = None
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self.device = 0 if torch.cuda.is_available() else 'cpu'
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# 加载检测模型
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self.model = YOLO(Config.model_path, task='detect')
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self.model(np.zeros((48, 48, 3)), device=self.device) #预先加载推理模型
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self.fontC = ImageFont.truetype("Font/platech.ttf", 25, 0)
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# 用于绘制不同颜色矩形框
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self.colors = tools.Colors()
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# 更新视频图像
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self.timer_camera = QTimer()
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# 更新检测信息表格
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# self.timer_info = QTimer()
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# 保存视频
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self.timer_save_video = QTimer()
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# 表格
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self.ui.tableWidget.verticalHeader().setSectionResizeMode(QHeaderView.Fixed)
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self.ui.tableWidget.verticalHeader().setDefaultSectionSize(40)
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self.ui.tableWidget.setColumnWidth(0, 80) # 设置列宽
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self.ui.tableWidget.setColumnWidth(1, 200)
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self.ui.tableWidget.setColumnWidth(2, 150)
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self.ui.tableWidget.setColumnWidth(3, 90)
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self.ui.tableWidget.setColumnWidth(4, 230)
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# self.ui.tableWidget.horizontalHeader().setSectionResizeMode(QHeaderView.Stretch) # 表格铺满
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# self.ui.tableWidget.horizontalHeader().setSectionResizeMode(0, QHeaderView.Interactive)
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# self.ui.tableWidget.setEditTriggers(QAbstractItemView.NoEditTriggers) # 设置表格不可编辑
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self.ui.tableWidget.setSelectionBehavior(QAbstractItemView.SelectRows) # 设置表格整行选中
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self.ui.tableWidget.verticalHeader().setVisible(False) # 隐藏列标题
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self.ui.tableWidget.setAlternatingRowColors(True) # 表格背景交替
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# 设置主页背景图片border-image: url(:/icons/ui_imgs/icons/camera.png)
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# self.setStyleSheet("#MainWindow{background-image:url(:/bgs/ui_imgs/bg3.jpg)}")
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def open_img(self):
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if self.cap:
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# 打开图片前关闭摄像头
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self.video_stop()
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self.is_camera_open = False
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self.ui.CaplineEdit.setText('摄像头未开启')
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self.cap = None
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# 弹出的窗口名称：'打开图片'
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# 默认打开的目录：'./'
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# 只能打开.jpg与.gif结尾的图片文件
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# file_path, _ = QFileDialog.getOpenFileName(self.ui.centralwidget, '打开图片', './', "Image files (*.jpg *.gif)")
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file_path, _ = QFileDialog.getOpenFileName(None, '打开图片', './', "Image files (*.jpg *.jpeg *.png *.bmp)")
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if not file_path:
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return
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self.ui.comboBox.setDisabled(False)
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self.org_path = file_path
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self.org_img = tools.img_cvread(self.org_path)
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# 目标检测
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t1 = time.time()
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self.results = self.model(self.org_path, conf=self.conf, iou=self.iou)[0]
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t2 = time.time()
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take_time_str = '{:.3f} s'.format(t2 - t1)
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self.ui.time_lb.setText(take_time_str)
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location_list = self.results.boxes.xyxy.tolist()
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self.location_list = [list(map(int, e)) for e in location_list]
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cls_list = self.results.boxes.cls.tolist()
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self.cls_list = [int(i) for i in cls_list]
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self.conf_list = self.results.boxes.conf.tolist()
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self.conf_list = ['%.2f %%' % (each*100) for each in self.conf_list]
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# now_img = self.cv_img.copy()
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# for loacation, type_id, conf in zip(self.location_list, self.cls_list, self.conf_list):
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# type_id = int(type_id)
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# color = self.colors(int(type_id), True)
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# # cv2.rectangle(now_img, (int(x1), int(y1)), (int(x2), int(y2)), colors(int(type_id), True), 3)
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# now_img = tools.drawRectBox(now_img, loacation, Config.CH_names[type_id], self.fontC, color)
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now_img = self.results.plot()
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self.draw_img = now_img
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# 获取缩放后的图片尺寸
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self.img_width, self.img_height = self.get_resize_size(now_img)
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resize_cvimg = cv2.resize(now_img,(self.img_width, self.img_height))
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pix_img = tools.cvimg_to_qpiximg(resize_cvimg)
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self.ui.label_show.setPixmap(pix_img)
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self.ui.label_show.setAlignment(Qt.AlignCenter)
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# 设置路径显示
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self.ui.PiclineEdit.setText(self.org_path)
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# 目标数目
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target_nums = len(self.cls_list)
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self.ui.label_nums.setText(str(target_nums))
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# 设置目标选择下拉框
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choose_list = ['全部']
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target_names = [Config.names[id]+ '_'+ str(index) for index,id in enumerate(self.cls_list)]
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# object_list = sorted(set(self.cls_list))
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# for each in object_list:
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# choose_list.append(Config.CH_names[each])
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choose_list = choose_list + target_names
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self.ui.comboBox.clear()
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self.ui.comboBox.addItems(choose_list)
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if target_nums >= 1:
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self.ui.type_lb.setText(Config.CH_names[self.cls_list[0]])
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self.ui.label_conf.setText(str(self.conf_list[0]))
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# 默认显示第一个目标框坐标
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# 设置坐标位置值
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self.ui.label_xmin.setText(str(self.location_list[0][0]))
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self.ui.label_ymin.setText(str(self.location_list[0][1]))
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self.ui.label_xmax.setText(str(self.location_list[0][2]))
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self.ui.label_ymax.setText(str(self.location_list[0][3]))
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else:
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self.ui.type_lb.setText('')
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self.ui.label_conf.setText('')
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self.ui.label_xmin.setText('')
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self.ui.label_ymin.setText('')
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self.ui.label_xmax.setText('')
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self.ui.label_ymax.setText('')
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# # 删除表格所有行
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self.ui.tableWidget.setRowCount(0)
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self.ui.tableWidget.clearContents()
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self.tabel_info_show(self.location_list, self.cls_list, self.conf_list,path=self.org_path)
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def detact_batch_imgs(self):
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if self.cap:
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# 打开图片前关闭摄像头
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self.video_stop()
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self.is_camera_open = False
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self.ui.CaplineEdit.setText('摄像头未开启')
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self.cap = None
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directory = QFileDialog.getExistingDirectory(self,
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"选取文件夹",
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"./") # 起始路径
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if not directory:
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return
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self.org_path = directory
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img_suffix = ['jpg','png','jpeg','bmp']
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for file_name in os.listdir(directory):
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full_path = os.path.join(directory,file_name)
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if os.path.isfile(full_path) and file_name.split('.')[-1].lower() in img_suffix:
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# self.ui.comboBox.setDisabled(False)
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img_path = full_path
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self.org_img = tools.img_cvread(img_path)
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# 目标检测
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t1 = time.time()
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self.results = self.model(img_path,conf=self.conf, iou=self.iou)[0]
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t2 = time.time()
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take_time_str = '{:.3f} s'.format(t2 - t1)
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self.ui.time_lb.setText(take_time_str)
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location_list = self.results.boxes.xyxy.tolist()
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self.location_list = [list(map(int, e)) for e in location_list]
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cls_list = self.results.boxes.cls.tolist()
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self.cls_list = [int(i) for i in cls_list]
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self.conf_list = self.results.boxes.conf.tolist()
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self.conf_list = ['%.2f %%' % (each * 100) for each in self.conf_list]
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now_img = self.results.plot()
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self.draw_img = now_img
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# 获取缩放后的图片尺寸
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self.img_width, self.img_height = self.get_resize_size(now_img)
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resize_cvimg = cv2.resize(now_img, (self.img_width, self.img_height))
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pix_img = tools.cvimg_to_qpiximg(resize_cvimg)
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self.ui.label_show.setPixmap(pix_img)
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self.ui.label_show.setAlignment(Qt.AlignCenter)
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# 设置路径显示
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self.ui.PiclineEdit.setText(img_path)
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# 目标数目
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target_nums = len(self.cls_list)
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self.ui.label_nums.setText(str(target_nums))
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# 设置目标选择下拉框
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choose_list = ['全部']
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target_names = [Config.names[id] + '_' + str(index) for index, id in enumerate(self.cls_list)]
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choose_list = choose_list + target_names
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self.ui.comboBox.clear()
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self.ui.comboBox.addItems(choose_list)
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if target_nums >= 1:
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self.ui.type_lb.setText(Config.CH_names[self.cls_list[0]])
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self.ui.label_conf.setText(str(self.conf_list[0]))
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# 默认显示第一个目标框坐标
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# 设置坐标位置值
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self.ui.label_xmin.setText(str(self.location_list[0][0]))
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self.ui.label_ymin.setText(str(self.location_list[0][1]))
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self.ui.label_xmax.setText(str(self.location_list[0][2]))
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self.ui.label_ymax.setText(str(self.location_list[0][3]))
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else:
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self.ui.type_lb.setText('')
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self.ui.label_conf.setText('')
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self.ui.label_xmin.setText('')
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self.ui.label_ymin.setText('')
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self.ui.label_xmax.setText('')
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self.ui.label_ymax.setText('')
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# # 删除表格所有行
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# self.ui.tableWidget.setRowCount(0)
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# self.ui.tableWidget.clearContents()
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self.tabel_info_show(self.location_list, self.cls_list, self.conf_list, path=img_path)
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self.ui.tableWidget.scrollToBottom()
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QApplication.processEvents() #刷新页面
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def draw_rect_and_tabel(self, results, img):
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now_img = img.copy()
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location_list = results.boxes.xyxy.tolist()
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self.location_list = [list(map(int, e)) for e in location_list]
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cls_list = results.boxes.cls.tolist()
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self.cls_list = [int(i) for i in cls_list]
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self.conf_list = results.boxes.conf.tolist()
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self.conf_list = ['%.2f %%' % (each * 100) for each in self.conf_list]
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for loacation, type_id, conf in zip(self.location_list, self.cls_list, self.conf_list):
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type_id = int(type_id)
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color = self.colors(int(type_id), True)
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# cv2.rectangle(now_img, (int(x1), int(y1)), (int(x2), int(y2)), colors(int(type_id), True), 3)
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now_img = tools.drawRectBox(now_img, loacation, Config.CH_names[type_id], self.fontC, color)
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# 获取缩放后的图片尺寸
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self.img_width, self.img_height = self.get_resize_size(now_img)
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resize_cvimg = cv2.resize(now_img, (self.img_width, self.img_height))
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pix_img = tools.cvimg_to_qpiximg(resize_cvimg)
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self.ui.label_show.setPixmap(pix_img)
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self.ui.label_show.setAlignment(Qt.AlignCenter)
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# 设置路径显示
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self.ui.PiclineEdit.setText(self.org_path)
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# 目标数目
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target_nums = len(self.cls_list)
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self.ui.label_nums.setText(str(target_nums))
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if target_nums >= 1:
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self.ui.type_lb.setText(Config.CH_names[self.cls_list[0]])
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self.ui.label_conf.setText(str(self.conf_list[0]))
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self.ui.label_xmin.setText(str(self.location_list[0][0]))
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self.ui.label_ymin.setText(str(self.location_list[0][1]))
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self.ui.label_xmax.setText(str(self.location_list[0][2]))
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self.ui.label_ymax.setText(str(self.location_list[0][3]))
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else:
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self.ui.type_lb.setText('')
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self.ui.label_conf.setText('')
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self.ui.label_xmin.setText('')
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self.ui.label_ymin.setText('')
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self.ui.label_xmax.setText('')
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self.ui.label_ymax.setText('')
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# 删除表格所有行
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self.ui.tableWidget.setRowCount(0)
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self.ui.tableWidget.clearContents()
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self.tabel_info_show(self.location_list, self.cls_list, self.conf_list, path=self.org_path)
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return now_img
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def combox_change(self):
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com_text = self.ui.comboBox.currentText()
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if com_text == '全部':
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cur_box = self.location_list
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cur_img = self.results.plot()
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self.ui.type_lb.setText(Config.CH_names[self.cls_list[0]])
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self.ui.label_conf.setText(str(self.conf_list[0]))
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else:
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index = int(com_text.split('_')[-1])
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cur_box = [self.location_list[index]]
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cur_img = self.results[index].plot()
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self.ui.type_lb.setText(Config.CH_names[self.cls_list[index]])
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self.ui.label_conf.setText(str(self.conf_list[index]))
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# 设置坐标位置值
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self.ui.label_xmin.setText(str(cur_box[0][0]))
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self.ui.label_ymin.setText(str(cur_box[0][1]))
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self.ui.label_xmax.setText(str(cur_box[0][2]))
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self.ui.label_ymax.setText(str(cur_box[0][3]))
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resize_cvimg = cv2.resize(cur_img, (self.img_width, self.img_height))
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pix_img = tools.cvimg_to_qpiximg(resize_cvimg)
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self.ui.label_show.clear()
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self.ui.label_show.setPixmap(pix_img)
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self.ui.label_show.setAlignment(Qt.AlignCenter)
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def get_video_path(self):
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file_path, _ = QFileDialog.getOpenFileName(None, '打开视频', './', "Image files (*.avi *.mp4 *.wmv *.mkv)")
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if not file_path:
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return None
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self.org_path = file_path
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self.ui.VideolineEdit.setText(file_path)
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return file_path
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def video_start(self):
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# 删除表格所有行
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self.ui.tableWidget.setRowCount(0)
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self.ui.tableWidget.clearContents()
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# 清空下拉框
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self.ui.comboBox.clear()
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# 定时器开启，每隔一段时间，读取一帧
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self.timer_camera.start(1)
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self.timer_camera.timeout.connect(self.open_frame)
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def tabel_info_show(self, locations, clses, confs, path=None):
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path = path
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for location, cls, conf in zip(locations, clses, confs):
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row_count = self.ui.tableWidget.rowCount() # 返回当前行数(尾部)
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self.ui.tableWidget.insertRow(row_count) # 尾部插入一行
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item_id = QTableWidgetItem(str(row_count+1)) # 序号
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item_id.setTextAlignment(Qt.AlignHCenter | Qt.AlignVCenter) # 设置文本居中
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item_path = QTableWidgetItem(str(path)) # 路径
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# item_path.setTextAlignment(Qt.AlignHCenter | Qt.AlignVCenter)
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item_cls = QTableWidgetItem(str(Config.CH_names[cls]))
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item_cls.setTextAlignment(Qt.AlignHCenter | Qt.AlignVCenter) # 设置文本居中
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item_conf = QTableWidgetItem(str(conf))
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item_conf.setTextAlignment(Qt.AlignHCenter | Qt.AlignVCenter) # 设置文本居中
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item_location = QTableWidgetItem(str(location)) # 目标框位置
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# item_location.setTextAlignment(Qt.AlignHCenter | Qt.AlignVCenter) # 设置文本居中
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self.ui.tableWidget.setItem(row_count, 0, item_id)
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self.ui.tableWidget.setItem(row_count, 1, item_path)
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self.ui.tableWidget.setItem(row_count, 2, item_cls)
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self.ui.tableWidget.setItem(row_count, 3, item_conf)
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self.ui.tableWidget.setItem(row_count, 4, item_location)
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self.ui.tableWidget.scrollToBottom()
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def video_stop(self):
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self.cap.release()
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self.timer_camera.stop()
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# self.timer_info.stop()
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def open_frame(self):
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ret, now_img = self.cap.read()
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if ret:
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# 目标检测
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t1 = time.time()
|
||
results = self.model(now_img,conf=self.conf, iou=self.iou)[0]
|
||
t2 = time.time()
|
||
take_time_str = '{:.3f} s'.format(t2 - t1)
|
||
self.ui.time_lb.setText(take_time_str)
|
||
|
||
location_list = results.boxes.xyxy.tolist()
|
||
self.location_list = [list(map(int, e)) for e in location_list]
|
||
cls_list = results.boxes.cls.tolist()
|
||
self.cls_list = [int(i) for i in cls_list]
|
||
self.conf_list = results.boxes.conf.tolist()
|
||
self.conf_list = ['%.2f %%' % (each * 100) for each in self.conf_list]
|
||
|
||
now_img = results.plot()
|
||
|
||
# 获取缩放后的图片尺寸
|
||
self.img_width, self.img_height = self.get_resize_size(now_img)
|
||
resize_cvimg = cv2.resize(now_img, (self.img_width, self.img_height))
|
||
pix_img = tools.cvimg_to_qpiximg(resize_cvimg)
|
||
self.ui.label_show.setPixmap(pix_img)
|
||
self.ui.label_show.setAlignment(Qt.AlignCenter)
|
||
|
||
# 目标数目
|
||
target_nums = len(self.cls_list)
|
||
self.ui.label_nums.setText(str(target_nums))
|
||
|
||
# 设置目标选择下拉框
|
||
choose_list = ['全部']
|
||
target_names = [Config.names[id] + '_' + str(index) for index, id in enumerate(self.cls_list)]
|
||
# object_list = sorted(set(self.cls_list))
|
||
# for each in object_list:
|
||
# choose_list.append(Config.CH_names[each])
|
||
choose_list = choose_list + target_names
|
||
|
||
self.ui.comboBox.clear()
|
||
self.ui.comboBox.addItems(choose_list)
|
||
|
||
if target_nums >= 1:
|
||
self.ui.type_lb.setText(Config.CH_names[self.cls_list[0]])
|
||
self.ui.label_conf.setText(str(self.conf_list[0]))
|
||
# 默认显示第一个目标框坐标
|
||
# 设置坐标位置值
|
||
self.ui.label_xmin.setText(str(self.location_list[0][0]))
|
||
self.ui.label_ymin.setText(str(self.location_list[0][1]))
|
||
self.ui.label_xmax.setText(str(self.location_list[0][2]))
|
||
self.ui.label_ymax.setText(str(self.location_list[0][3]))
|
||
else:
|
||
self.ui.type_lb.setText('')
|
||
self.ui.label_conf.setText('')
|
||
self.ui.label_xmin.setText('')
|
||
self.ui.label_ymin.setText('')
|
||
self.ui.label_xmax.setText('')
|
||
self.ui.label_ymax.setText('')
|
||
|
||
|
||
# 删除表格所有行
|
||
# self.ui.tableWidget.setRowCount(0)
|
||
# self.ui.tableWidget.clearContents()
|
||
self.tabel_info_show(self.location_list, self.cls_list, self.conf_list, path=self.org_path)
|
||
|
||
else:
|
||
self.cap.release()
|
||
self.timer_camera.stop()
|
||
|
||
def vedio_show(self):
|
||
if self.is_camera_open:
|
||
self.is_camera_open = False
|
||
self.ui.CaplineEdit.setText('摄像头未开启')
|
||
|
||
video_path = self.get_video_path()
|
||
if not video_path:
|
||
return None
|
||
self.cap = cv2.VideoCapture(video_path)
|
||
self.video_start()
|
||
self.ui.comboBox.setDisabled(True)
|
||
|
||
def camera_show(self):
|
||
self.is_camera_open = not self.is_camera_open
|
||
if self.is_camera_open:
|
||
self.ui.CaplineEdit.setText('摄像头开启')
|
||
self.cap = cv2.VideoCapture(0)
|
||
self.video_start()
|
||
self.ui.comboBox.setDisabled(True)
|
||
else:
|
||
self.ui.CaplineEdit.setText('摄像头未开启')
|
||
self.ui.label_show.setText('')
|
||
if self.cap:
|
||
self.cap.release()
|
||
cv2.destroyAllWindows()
|
||
self.ui.label_show.clear()
|
||
|
||
def get_resize_size(self, img):
|
||
_img = img.copy()
|
||
img_height, img_width , depth= _img.shape
|
||
ratio = img_width / img_height
|
||
if ratio >= self.show_width / self.show_height:
|
||
self.img_width = self.show_width
|
||
self.img_height = int(self.img_width / ratio)
|
||
else:
|
||
self.img_height = self.show_height
|
||
self.img_width = int(self.img_height * ratio)
|
||
return self.img_width, self.img_height
|
||
|
||
def save_detect_video(self):
|
||
if self.cap is None and not self.org_path:
|
||
QMessageBox.about(self, '提示', '当前没有可保存信息，请先打开图片或视频！')
|
||
return
|
||
|
||
if self.is_camera_open:
|
||
QMessageBox.about(self, '提示', '摄像头视频无法保存!')
|
||
return
|
||
|
||
if self.cap:
|
||
res = QMessageBox.information(self, '提示', '保存视频检测结果可能需要较长时间，请确认是否继续保存？',QMessageBox.Yes | QMessageBox.No , QMessageBox.Yes)
|
||
if res == QMessageBox.Yes:
|
||
self.video_stop()
|
||
com_text = self.ui.comboBox.currentText()
|
||
self.btn2Thread_object = btn2Thread(self.org_path, self.model, com_text,self.conf,self.iou)
|
||
self.btn2Thread_object.start()
|
||
self.btn2Thread_object.update_ui_signal.connect(self.update_process_bar)
|
||
else:
|
||
return
|
||
else:
|
||
if os.path.isfile(self.org_path):
|
||
fileName = os.path.basename(self.org_path)
|
||
name , end_name= fileName.rsplit(".",1)
|
||
save_name = name + '_detect_result.' + end_name
|
||
save_img_path = os.path.join(Config.save_path, save_name)
|
||
# 保存图片
|
||
cv2.imwrite(save_img_path, self.draw_img)
|
||
QMessageBox.about(self, '提示', '图片保存成功!\n文件路径:{}'.format(save_img_path))
|
||
else:
|
||
img_suffix = ['jpg', 'png', 'jpeg', 'bmp']
|
||
for file_name in os.listdir(self.org_path):
|
||
full_path = os.path.join(self.org_path, file_name)
|
||
if os.path.isfile(full_path) and file_name.split('.')[-1].lower() in img_suffix:
|
||
name, end_name = file_name.rsplit(".",1)
|
||
save_name = name + '_detect_result.' + end_name
|
||
save_img_path = os.path.join(Config.save_path, save_name)
|
||
results = self.model(full_path,conf=self.conf, iou=self.iou)[0]
|
||
now_img = results.plot()
|
||
# 保存图片
|
||
cv2.imwrite(save_img_path, now_img)
|
||
|
||
QMessageBox.about(self, '提示', '图片保存成功!\n文件路径:{}'.format(Config.save_path))
|
||
|
||
|
||
def update_process_bar(self,cur_num, total):
|
||
if cur_num == 1:
|
||
self.progress_bar = ProgressBar(self)
|
||
self.progress_bar.show()
|
||
if cur_num >= total:
|
||
self.progress_bar.close()
|
||
QMessageBox.about(self, '提示', '视频保存成功!\n文件在{}目录下'.format(Config.save_path))
|
||
return
|
||
if self.progress_bar.isVisible() is False:
|
||
# 点击取消保存时，终止进程
|
||
self.btn2Thread_object.stop()
|
||
return
|
||
value = int(cur_num / total *100)
|
||
self.progress_bar.setValue(cur_num, total, value)
|
||
QApplication.processEvents()
|
||
|
||
|
||
class btn2Thread(QThread):
|
||
"""
|
||
进行检测后的视频保存
|
||
"""
|
||
# 声明一个信号
|
||
update_ui_signal = pyqtSignal(int,int)
|
||
|
||
def __init__(self, path, model, com_text,conf,iou):
|
||
super(btn2Thread, self).__init__()
|
||
self.org_path = path
|
||
self.model = model
|
||
self.com_text = com_text
|
||
self.conf = conf
|
||
self.iou = iou
|
||
# 用于绘制不同颜色矩形框
|
||
self.colors = tools.Colors()
|
||
self.is_running = True # 标志位，表示线程是否正在运行
|
||
|
||
def run(self):
|
||
# VideoCapture方法是cv2库提供的读取视频方法
|
||
cap = cv2.VideoCapture(self.org_path)
|
||
# 设置需要保存视频的格式“xvid”
|
||
# 该参数是MPEG-4编码类型，文件名后缀为.avi
|
||
fourcc = cv2.VideoWriter_fourcc(*'XVID')
|
||
# 设置视频帧频
|
||
fps = cap.get(cv2.CAP_PROP_FPS)
|
||
# 设置视频大小
|
||
size = (int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)), int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)))
|
||
# VideoWriter方法是cv2库提供的保存视频方法
|
||
# 按照设置的格式来out输出
|
||
fileName = os.path.basename(self.org_path)
|
||
name, end_name = fileName.split('.')
|
||
save_name = name + '_detect_result.avi'
|
||
save_video_path = os.path.join(Config.save_path, save_name)
|
||
out = cv2.VideoWriter(save_video_path, fourcc, fps, size)
|
||
|
||
prop = cv2.CAP_PROP_FRAME_COUNT
|
||
total = int(cap.get(prop))
|
||
print("[INFO] 视频总帧数：{}".format(total))
|
||
cur_num = 0
|
||
|
||
# 确定视频打开并循环读取
|
||
while (cap.isOpened() and self.is_running):
|
||
cur_num += 1
|
||
print('当前第{}帧，总帧数{}'.format(cur_num, total))
|
||
# 逐帧读取，ret返回布尔值
|
||
# 参数ret为True 或者False,代表有没有读取到图片
|
||
# frame表示截取到一帧的图片
|
||
ret, frame = cap.read()
|
||
if ret == True:
|
||
# 检测
|
||
results = self.model(frame,conf=self.conf,iou=self.iou)[0]
|
||
frame = results.plot()
|
||
out.write(frame)
|
||
self.update_ui_signal.emit(cur_num, total)
|
||
else:
|
||
break
|
||
# 释放资源
|
||
cap.release()
|
||
out.release()
|
||
|
||
def stop(self):
|
||
self.is_running = False
|
||
|
||
|
||
if __name__ == "__main__":
|
||
app = QApplication(sys.argv)
|
||
win = MainWindow()
|
||
win.show()
|
||
sys.exit(app.exec_())
|