forked from PulseFocusPlatform/PulseFocusPlatform
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2 Commits
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p57492168 | 3e7cf3d707 | |
p57492168 | c7ed7f15c1 |
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# Default ignored files
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/shelf/
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/workspace.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<module type="PYTHON_MODULE" version="4">
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<component name="NewModuleRootManager">
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<content url="file://$MODULE_DIR$" />
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<orderEntry type="jdk" jdkName="Python 3.7 (Focus)" jdkType="Python SDK" />
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<orderEntry type="sourceFolder" forTests="false" />
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</component>
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<component name="PyDocumentationSettings">
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<option name="format" value="PLAIN" />
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<option name="myDocStringFormat" value="Plain" />
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</component>
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</module>
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<component name="InspectionProjectProfileManager">
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<profile version="1.0">
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<option name="myName" value="Project Default" />
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<inspection_tool class="PyUnresolvedReferencesInspection" enabled="true" level="WARNING" enabled_by_default="true">
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<option name="ignoredIdentifiers">
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<list>
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<option value="runtest.ImageEditorPage" />
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<option value="ImageEditorPage" />
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</list>
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</option>
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</inspection_tool>
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</profile>
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</component>
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@ -0,0 +1,6 @@
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<component name="InspectionProjectProfileManager">
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<settings>
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<option name="USE_PROJECT_PROFILE" value="false" />
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<version value="1.0" />
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</settings>
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</component>
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@ -0,0 +1,4 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.7 (Focus)" project-jdk-type="Python SDK" />
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</project>
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@ -0,0 +1,8 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="ProjectModuleManager">
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<modules>
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<module fileurl="file://$PROJECT_DIR$/.idea/PulseFocusPlatform.iml" filepath="$PROJECT_DIR$/.idea/PulseFocusPlatform.iml" />
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</modules>
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</component>
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</project>
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@ -0,0 +1,6 @@
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<?xml version="1.0" encoding="UTF-8"?>
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<project version="4">
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<component name="VcsDirectoryMappings">
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<mapping directory="$PROJECT_DIR$" vcs="Git" />
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</component>
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</project>
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@ -5,8 +5,8 @@ Pulse Focus Platform脉冲聚焦是面向水底物体图像识别的实时检测
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脉冲聚焦软件设计了图片和视频两种数据输入下的多物体识别功能。针对图片数据,调用模型进行单张图片预测,随后在前端可视化输出多物体识别结果;针对视频流动态图像数据,首先对视频流数据进行分帧采样,获取采样图片,再针对采样图片进行多物体识别,将采样识别结果进行视频合成,然后在前端可视化输出视频流数据识别结果。为了视频流数据处理的高效性,设计了采样-识别-展示的多线程处理方式,可加快视频流数据处理。
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软件界面简单,易学易用,包含参数的输入选择,程序的运行,算法结果的展示等,源代码公开,算法可修改。
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开发人员:K. Wang、H.P. Yu、J. Li、H.T. Li、Z.Q. Wang、Z.Y. Zhao、L.F. Zhang、G. Chen
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开发人员:王凯、于化鹏、李晶、王兆琦、李慧涛、赵志允、张乐飞、陈光
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## 1. 开发环境配置
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运行以下命令:
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```bash
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19
SSS_win.py
19
SSS_win.py
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# Form implementation generated from reading ui file 'SSS_win.ui'
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#
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# Created by: PyQt5 UI code generator 5.15.4
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# Created by: PyQt5 UI code generator 5.12.3
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#
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# WARNING: Any manual changes made to this file will be lost when pyuic5 is
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# run again. Do not edit this file unless you know what you are doing.
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# WARNING! All changes made in this file will be lost!
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from PyQt5 import QtCore, QtGui, QtWidgets
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@ -92,6 +91,9 @@ class Ui_MainWindow(object):
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self.pushButton_rjwendang = QtWidgets.QPushButton(self.centralwidget)
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self.pushButton_rjwendang.setObjectName("pushButton_rjwendang")
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self.verticalLayout_3.addWidget(self.pushButton_rjwendang)
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self.pushButton = QtWidgets.QPushButton(self.centralwidget)
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self.pushButton.setObjectName("pushButton")
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self.verticalLayout_3.addWidget(self.pushButton)
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self.pushButton_tuichu = QtWidgets.QPushButton(self.centralwidget)
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self.pushButton_tuichu.setObjectName("pushButton_tuichu")
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self.verticalLayout_3.addWidget(self.pushButton_tuichu)
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@ -147,13 +149,13 @@ class Ui_MainWindow(object):
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self.xunlian.clicked.connect(MainWindow.press_xunlian)
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self.pushButton_tuichu.clicked.connect(MainWindow.exit)
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self.shipindaoru.clicked.connect(MainWindow.press_movie)
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self.comboBox_sbsuanfa.activated.connect(MainWindow.moxingxuanze)
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self.comboBox_GPU.activated.connect(MainWindow.gpu_use)
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self.comboBox_sbsuanfa.activated['QString'].connect(MainWindow.moxingxuanze)
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self.comboBox_GPU.activated['QString'].connect(MainWindow.gpu_use)
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QtCore.QMetaObject.connectSlotsByName(MainWindow)
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def retranslateUi(self, MainWindow):
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_translate = QtCore.QCoreApplication.translate
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MainWindow.setWindowTitle(_translate("MainWindow", "脉冲聚焦"))
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MainWindow.setWindowTitle(_translate("MainWindow", "MainWindow"))
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self.tupiandiaoru.setText(_translate("MainWindow", "静态图像导入"))
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self.shipindaoru.setText(_translate("MainWindow", "动态图像导入"))
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self.pushButton_xxdaochu.setText(_translate("MainWindow", "信息导出"))
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@ -162,7 +164,7 @@ class Ui_MainWindow(object):
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self.comboBox_yclfangfa.setItemText(0, _translate("MainWindow", "多尺度融合"))
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self.comboBox_yclfangfa.setItemText(1, _translate("MainWindow", "图像增广"))
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self.comboBox_yclfangfa.setItemText(2, _translate("MainWindow", "图像重塑"))
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self.label_3.setText(_translate("MainWindow", "聚焦算法"))
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self.label_3.setText(_translate("MainWindow", "识别算法"))
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self.comboBox_sbsuanfa.setCurrentText(_translate("MainWindow", "PPYOLO-BOT"))
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self.comboBox_sbsuanfa.setItemText(0, _translate("MainWindow", "PPYOLO-BOT"))
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self.comboBox_sbsuanfa.setItemText(1, _translate("MainWindow", "YOLOV3"))
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@ -172,10 +174,11 @@ class Ui_MainWindow(object):
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self.comboBox_GPU.setItemText(0, _translate("MainWindow", "YES"))
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self.comboBox_GPU.setItemText(1, _translate("MainWindow", "NO"))
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self.label.setText(_translate("MainWindow", "特征选择"))
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self.shibie.setText(_translate("MainWindow", "聚焦"))
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self.shibie.setText(_translate("MainWindow", "识别"))
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self.xunlian.setText(_translate("MainWindow", "训练"))
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self.pushButton_jswendang.setText(_translate("MainWindow", "技术文档"))
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self.pushButton_rjwendang.setText(_translate("MainWindow", "软件说明文档"))
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self.pushButton.setText(_translate("MainWindow", "PushButton"))
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self.pushButton_tuichu.setText(_translate("MainWindow", "退出"))
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self.label_mb1.setText(_translate("MainWindow", "flv"))
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self.flv.setText(_translate("MainWindow", "0"))
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@ -189,6 +189,13 @@
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</property>
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</widget>
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</item>
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<item>
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<widget class="QPushButton" name="pushButton">
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<property name="text">
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<string>PushButton</string>
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</property>
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</widget>
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</item>
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<item>
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<widget class="QPushButton" name="pushButton_tuichu">
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<property name="text">
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