【目标检测】利用PyQT5搭建YOLOv5可视化界面

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应广大读者需求，重构了整个仓库，目前适配YOLOv5最新版本。

开源地址：https://github.com/zstar1003/yolov5_pyqt5

前言

本篇主要利用PyQT5搭建YOLOv5可视化界面，并打包成exe程序。

整体框架参考自：https://xugaoxiang.com/2021/06/30/yolov5-pyqt5
在此基础上，优化了预测逻辑，适配YOLOv5-5.0版本，并使用

qdarkstyle

美化了界面，支持图片检测、摄像头检测、视频检测，整体效果如下图所示：

请添加图片描述

开源仓库：https://github.com/zstar1003/yolov5_pyqt5
可直接运行的exe程序：https://pan.baidu.com/s/16nHvS5tRSeLKB0Ql2-6ZFw?pwd=8888

整体框架

项目整体框架如下图所示：

在这里插入图片描述
· models：存放模型构建相关程序，直接从yolov5-5.0版本中clone过来

utils：存放绘图、数据加载等相关工具，直接从yolov5-5.0版本中clone过来
UI：存放软件图标
result：存放预测之后的图片或视频
weights：模型权重，默认使用YOLOv5官方提供的yolov5s.pt

核心代码

main.py

import os
import sys
import cv2
import random
import torch
import numpy as np
import torch.backends.cudnn as cudnn
import qdarkstyle
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtGui import QIcon, QPixmap

from models.experimental import attempt_load
from utils.general import check_img_size, non_max_suppression, scale_coords
from utils.datasets import letterbox
from utils.plots import plot_one_box

classUi_MainWindow(QtWidgets.QMainWindow):def__init__(self, parent=None):super(Ui_MainWindow, self).__init__(parent)
        self.timer_video = QtCore.QTimer()
        self.setupUi(self)
        self.init_logo()
        self.init_slots()
        self.cap = cv2.VideoCapture()
        self.out =None
        self.device = torch.device("cuda:0"if torch.cuda.is_available()else"cpu")
        self.half = self.device.type!='cpu'# half precision only supported on CUDA

        cudnn.benchmark =True
        weights ='weights/yolov5s.pt'# 模型加载路径
        imgsz =640# 预测图尺寸大小
        self.conf_thres =0.25# NMS置信度
        self.iou_thres =0.45# IOU阈值# 载入模型
        self.model = attempt_load(weights, map_location=self.device)
        stride =int(self.model.stride.max())
        self.imgsz = check_img_size(imgsz, s=stride)if self.half:
            self.model.half()# to FP16# 从模型中获取各类别名称
        self.names = self.model.module.names ifhasattr(self.model,'module')else self.model.names
        # 给每一个类别初始化颜色
        self.colors =[[random.randint(0,255)for _ inrange(3)]for _ in self.names]defsetupUi(self, MainWindow):
        MainWindow.setObjectName("MainWindow")
        MainWindow.resize(900,600)# MainWindow.setStyleSheet("")
        self.centralwidget = QtWidgets.QWidget(MainWindow)
        self.centralwidget.setObjectName("centralwidget")# self.centralwidget.setStyleSheet("border: 1px solid white;")
        self.horizontalLayout_2 = QtWidgets.QHBoxLayout(self.centralwidget)
        self.horizontalLayout_2.setObjectName("horizontalLayout_2")
        self.horizontalLayout = QtWidgets.QHBoxLayout()
        self.horizontalLayout.setSizeConstraint(QtWidgets.QLayout.SetNoConstraint)
        self.horizontalLayout.setObjectName("horizontalLayout")
        self.verticalLayout = QtWidgets.QVBoxLayout()
        self.verticalLayout.setContentsMargins(0,0,0,0)# 布局的左、上、右、下到窗体边缘的距离# self.verticalLayout.setSpacing(0)
        self.verticalLayout.setObjectName("verticalLayout")# 打开图片按钮
        self.pushButton_img = QtWidgets.QPushButton(self.centralwidget)
        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.MinimumExpanding)
        sizePolicy.setHorizontalStretch(0)
        sizePolicy.setVerticalStretch(0)
        sizePolicy.setHeightForWidth(self.pushButton_img.sizePolicy().hasHeightForWidth())
        self.pushButton_img.setSizePolicy(sizePolicy)
        self.pushButton_img.setMinimumSize(QtCore.QSize(150,40))
        self.pushButton_img.setMaximumSize(QtCore.QSize(150,40))
        font = QtGui.QFont()
        font.setFamily("Agency FB")
        font.setPointSize(12)
        self.pushButton_img.setFont(font)
        self.pushButton_img.setObjectName("pushButton_img")
        self.verticalLayout.addWidget(self.pushButton_img,0, QtCore.Qt.AlignHCenter)
        self.verticalLayout.addStretch(5)# 增加垂直盒子内部对象间距# 打开摄像头按钮
        self.pushButton_camera = QtWidgets.QPushButton(self.centralwidget)
        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
        sizePolicy.setHorizontalStretch(0)
        sizePolicy.setVerticalStretch(0)
        sizePolicy.setHeightForWidth(self.pushButton_camera.sizePolicy().hasHeightForWidth())
        self.pushButton_camera.setSizePolicy(sizePolicy)
        self.pushButton_camera.setMinimumSize(QtCore.QSize(150,40))
        self.pushButton_camera.setMaximumSize(QtCore.QSize(150,40))
        self.pushButton_camera.setFont(font)
        self.pushButton_camera.setObjectName("pushButton_camera")
        self.verticalLayout.addWidget(self.pushButton_camera,0, QtCore.Qt.AlignHCenter)
        self.verticalLayout.addStretch(5)# 打开视频按钮
        self.pushButton_video = QtWidgets.QPushButton(self.centralwidget)
        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
        sizePolicy.setHorizontalStretch(0)
        sizePolicy.setVerticalStretch(0)
        sizePolicy.setHeightForWidth(self.pushButton_video.sizePolicy().hasHeightForWidth())
        self.pushButton_video.setSizePolicy(sizePolicy)
        self.pushButton_video.setMinimumSize(QtCore.QSize(150,40))
        self.pushButton_video.setMaximumSize(QtCore.QSize(150,40))
        self.pushButton_video.setFont(font)
        self.pushButton_video.setObjectName("pushButton_video")
        self.verticalLayout.addWidget(self.pushButton_video,0, QtCore.Qt.AlignHCenter)
        self.verticalLayout.addStretch(50)# 显示导出文件夹按钮
        self.pushButton_showdir = QtWidgets.QPushButton(self.centralwidget)
        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
        sizePolicy.setHorizontalStretch(0)
        sizePolicy.setVerticalStretch(0)
        sizePolicy.setHeightForWidth(self.pushButton_showdir.sizePolicy().hasHeightForWidth())
        self.pushButton_showdir.setSizePolicy(sizePolicy)
        self.pushButton_showdir.setMinimumSize(QtCore.QSize(150,50))
        self.pushButton_showdir.setMaximumSize(QtCore.QSize(150,50))
        self.pushButton_showdir.setFont(font)
        self.pushButton_showdir.setObjectName("pushButton_showdir")
        self.verticalLayout.addWidget(self.pushButton_showdir,0, QtCore.Qt.AlignHCenter)# 右侧图片/视频填充区域
        self.verticalLayout.setStretch(2,1)
        self.horizontalLayout.addLayout(self.verticalLayout)
        self.label = QtWidgets.QLabel(self.centralwidget)
        self.label.setObjectName("label")
        self.horizontalLayout.addWidget(self.label)
        self.horizontalLayout.setStretch(0,1)
        self.horizontalLayout.setStretch(1,3)
        self.horizontalLayout_2.addLayout(self.horizontalLayout)
        self.label.setStyleSheet("border: 1px solid white;")#  添加显示区域边框# 底部美化导航条
        MainWindow.setCentralWidget(self.centralwidget)
        self.menubar = QtWidgets.QMenuBar(MainWindow)
        self.menubar.setGeometry(QtCore.QRect(0,0,800,23))
        self.menubar.setObjectName("menubar")
        MainWindow.setMenuBar(self.menubar)
        self.statusbar = QtWidgets.QStatusBar(MainWindow)
        self.statusbar.setObjectName("statusbar")
        MainWindow.setStatusBar(self.statusbar)

        self.retranslateUi(MainWindow)
        QtCore.QMetaObject.connectSlotsByName(MainWindow)defretranslateUi(self, MainWindow):
        _translate = QtCore.QCoreApplication.translate
        MainWindow.setWindowTitle(_translate("MainWindow","YOLOv5目标检测平台"))
        self.pushButton_img.setText(_translate("MainWindow","图片检测"))
        self.pushButton_camera.setText(_translate("MainWindow","摄像头检测"))
        self.pushButton_video.setText(_translate("MainWindow","视频检测"))
        self.pushButton_showdir.setText(_translate("MainWindow","打开输出文件夹"))
        self.label.setText(_translate("MainWindow","TextLabel"))definit_slots(self):
        self.pushButton_img.clicked.connect(self.button_image_open)
        self.pushButton_video.clicked.connect(self.button_video_open)
        self.pushButton_camera.clicked.connect(self.button_camera_open)
        self.pushButton_showdir.clicked.connect(self.button_show_dir)
        self.timer_video.timeout.connect(self.show_video_frame)definit_logo(self):
        pix = QtGui.QPixmap('')# 绘制初始化图片
        self.label.setScaledContents(True)
        self.label.setPixmap(pix)defbutton_image_open(self):print('打开图片')
        name_list =[]

        img_name, _ = QtWidgets.QFileDialog.getOpenFileName(
            self,"打开图片","","*.jpg;;*.png;;All Files(*)")ifnot img_name:return
        img = cv2.imread(img_name)print(img_name)
        showimg = img
        with torch.no_grad():
            img = letterbox(img, new_shape=self.imgsz)[0]# Convert# BGR to RGB, to 3x416x416
            img = img[:,:,::-1].transpose(2,0,1)
            img = np.ascontiguousarray(img)
            img = torch.from_numpy(img).to(self.device)
            img = img.half()if self.half else img.float()# uint8 to fp16/32
            img /=255.0# 0 - 255 to 0.0 - 1.0if img.ndimension()==3:
                img = img.unsqueeze(0)# Inference
            pred = self.model(img)[0]# Apply NMS
            pred = non_max_suppression(pred, self.conf_thres, self.iou_thres)# Process detectionsfor i, det inenumerate(pred):if det isnotNoneandlen(det):# Rescale boxes from img_size to im0 size
                    det[:,:4]= scale_coords(
                        img.shape[2:], det[:,:4], showimg.shape).round()for*xyxy, conf, cls inreversed(det):
                        label ='%s %.2f'%(self.names[int(cls)], conf)# print(label.split()[0])  # 打印各目标名称
                        name_list.append(self.names[int(cls)])
                        plot_one_box(xyxy, showimg, label=label,
                                     color=self.colors[int(cls)], line_thickness=2)

        cv2.imwrite('result/prediction.jpg', showimg)
        self.result = cv2.cvtColor(showimg, cv2.COLOR_BGR2BGRA)
        self.result = cv2.resize(self.result,(640,480), interpolation=cv2.INTER_AREA)
        self.QtImg = QtGui.QImage(self.result.data, self.result.shape[1], self.result.shape[0], QtGui.QImage.Format_RGB32)
        self.label.setPixmap(QtGui.QPixmap.fromImage(self.QtImg))defbutton_video_open(self):
        video_name, _ = QtWidgets.QFileDialog.getOpenFileName(
            self,"打开视频","","*.mp4;;*.avi;;All Files(*)")ifnot video_name:return

        flag = self.cap.open(video_name)if flag ==False:
            QtWidgets.QMessageBox.warning(
                self,u"Warning",u"打开视频失败", buttons=QtWidgets.QMessageBox.Ok, defaultButton=QtWidgets.QMessageBox.Ok)else:
            self.out = cv2.VideoWriter('result/vedio_prediction.avi', cv2.VideoWriter_fourcc(*'MJPG'),20,(int(self.cap.get(3)),int(self.cap.get(4))))
            self.timer_video.start(30)
            self.pushButton_video.setDisabled(True)
            self.pushButton_img.setDisabled(True)
            self.pushButton_camera.setDisabled(True)defbutton_camera_open(self):ifnot self.timer_video.isActive():# 默认使用第一个本地camera
            flag = self.cap.open(0)if flag ==False:
                QtWidgets.QMessageBox.warning(
                    self,u"Warning",u"打开摄像头失败", buttons=QtWidgets.QMessageBox.Ok, defaultButton=QtWidgets.QMessageBox.Ok)else:
                self.out = cv2.VideoWriter('result/camera_prediction.avi', cv2.VideoWriter_fourcc(*'MJPG'),20,(int(self.cap.get(3)),int(self.cap.get(4))))
                self.timer_video.start(30)
                self.pushButton_video.setDisabled(True)
                self.pushButton_img.setDisabled(True)
                self.pushButton_camera.setText(u"关闭摄像头")else:
            self.timer_video.stop()
            self.cap.release()
            self.out.release()
            self.label.clear()
            self.init_logo()
            self.pushButton_video.setDisabled(False)
            self.pushButton_img.setDisabled(False)
            self.pushButton_camera.setText(u"摄像头检测")defshow_video_frame(self):
        name_list =[]

        flag, img = self.cap.read()if img isnotNone:
            showimg = img
            with torch.no_grad():
                img = letterbox(img, new_shape=self.imgsz)[0]# Convert# BGR to RGB, to 3x416x416
                img = img[:,:,::-1].transpose(2,0,1)
                img = np.ascontiguousarray(img)
                img = torch.from_numpy(img).to(self.device)
                img = img.half()if self.half else img.float()# uint8 to fp16/32
                img /=255.0# 0 - 255 to 0.0 - 1.0if img.ndimension()==3:
                    img = img.unsqueeze(0)# Inference
                pred = self.model(img)[0]# Apply NMS
                pred = non_max_suppression(pred, self.conf_thres, self.iou_thres)# Process detectionsfor i, det inenumerate(pred):# detections per imageif det isnotNoneandlen(det):# Rescale boxes from img_size to im0 size
                        det[:,:4]= scale_coords(
                            img.shape[2:], det[:,:4], showimg.shape).round()# Write resultsfor*xyxy, conf, cls inreversed(det):
                            label ='%s %.2f'%(self.names[int(cls)], conf)
                            name_list.append(self.names[int(cls)])# print(label)  # 打印各目标+置信度
                            plot_one_box(
                                xyxy, showimg, label=label, color=self.colors[int(cls)], line_thickness=2)

            self.out.write(showimg)
            show = cv2.resize(showimg,(640,480))
            self.result = cv2.cvtColor(show, cv2.COLOR_BGR2RGB)
            showImage = QtGui.QImage(self.result.data, self.result.shape[1], self.result.shape[0],
                                     QtGui.QImage.Format_RGB888)
            self.label.setPixmap(QtGui.QPixmap.fromImage(showImage))else:
            self.timer_video.stop()
            self.cap.release()
            self.out.release()
            self.label.clear()
            self.pushButton_video.setDisabled(False)
            self.pushButton_img.setDisabled(False)
            self.pushButton_camera.setDisabled(False)
            self.init_logo()defbutton_show_dir(self):
        path = os.getcwd()+'\\'+'result'
        os.system(f"start explorer {path}")if __name__ =='__main__':
    app = QtWidgets.QApplication(sys.argv)
    app.setStyleSheet(qdarkstyle.load_stylesheet_pyqt5())
    ui = Ui_MainWindow()# 设置窗口透明度# ui.setWindowOpacity(0.93)# 去除顶部边框# ui.setWindowFlags(Qt.FramelessWindowHint)# 设置窗口图标
    icon = QIcon()
    icon.addPixmap(QPixmap("./UI/icon.ico"), QIcon.Normal, QIcon.Off)
    ui.setWindowIcon(icon)
    ui.show()
    sys.exit(app.exec_())

整体逻辑是软件已启动就开始载入模型，然后利用

槽函数

去响应按钮信息。

打包exe

为了尽可能减少打包之后的体积，在打包之前，先使用Anaconda新建一个虚拟环境并安装好pytorch等YOLOv5所需必要库。

打包通常采用的是Pyinstaller这个工具库，本次打包使用一个新的工具叫

Auto Py to Exe

，该工具仍是调用Pyinstaller进行打包，不过对选项进行了可视化，操作更加便捷。

安装方式：

git clone https://github.com/brentvollebregt/auto-py-to-exe.git
python setup.py install

注意安装时可能会提示缺少一些包，依次pip安装即可，

geventwebsocket

库需要这样进行安装。

pip install gevent-websocket

安装好之后，在终端输入auto-py-to-exe，会在浏览器中默认打开如下界面：

脚本位置选择

main.py

，选择单目录模式，隐藏控制台，并选择图标和输出路径，然后就可以一键进行打包。

在这里插入图片描述

打包完成之后，会在输出文件夹下输入一个

main

文件夹。
运行之前，需要将原始工程中的几个文件夹拷贝进去，否则会提示找不到文件，如下图所示：

在这里插入图片描述
双击

main.exe

，即可看到可视化界面。

报错解决

在调式时，遇到一些小问题，这里也记录下。

问题一：遇到警告：

UserWarning: torch.meshgrid: in an upcoming release, it will be required to …

在报错的文件中将

return _VF.meshgrid(tensors,**kwargs)# type: ignore[attr-defined]

修改为

return _VF.meshgrid(tensors,**kwargs, indexing = ‘ij’)# type: ignore[attr-defined]

问题二：
打包时遇到的错误：

ImportError: ERROR: recursion is detected during loading of “cv2” binary extensions. Check OpenCV installation.

pyinstaller和cv2版本存在兼容问题，卸载已有的opencv-python，安装opencv-python=4.5.3.56

标签：目标检测 qt python

本文转载自: https://blog.csdn.net/qq1198768105/article/details/126463741
版权归原作者 zstar-_ 所有，如有侵权，请联系我们删除。

【目标检测】利用PyQT5搭建YOLOv5可视化界面

News

前言

整体框架

核心代码

打包exe

报错解决

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