How to realize the Plant recognition system based on Python
This article mainly introduces how to achieve a small plant recognition system based on Python, which has a certain reference value, interested friends can refer to, I hope you can learn a lot after reading this article, let the editor take you to understand it.
Body 1) Environmental installation
The environment used in this article: Python3.7 Pycharm Community Edition module: PyQt5.
2) main program import sysfrom PyQt5.QtWidgets import (QWidget,QApplication,QGridLayout,QLabel, QLineEdit,QTextEdit,QPushButton,QFrame) QFileDialog) from PyQt5.QtGui import QPixmap# import baiduAPI call module import requestclass AIGUI (QWidget): def _ _ init__ (self): super (). _ init__ () self.initUI () def initUI (self): # related initialization code for table classes # setSpacing is to set the outer frame of each control grid=QGridLayout () grid.setSpacing (10) # each control # 1 control explain=QLabel ('Please select the picture you want to identify') # 2 order number text box self.imgUrl=QLineEdit () # 3 Button self.select=QPushButton ("Select Picture") # add an event handler function self.select.clicked.connect (self.openfile) # 4 to the button Picture frame self.imgLab=QLabel ("11.png") self.imgLab.setFrameShape (QFrame.Box) # imgLab.setFrameShadow (QFrame.Raised) self.imgLab.setLineWidth (1) # imgLab.setPixmap (QPixmap (")) # No. 5 Multi-line self.info=QTextEdit () # rational layout of controls grid.addWidget (explain,1,0) grid.addWidget (self.imgUrl,1,1) grid.addWidget (self.select,1,2) grid.addWidget (self.imgLab,2,0,5,3) grid.addWidget (self.info,1,3 6 grid 1) # the last setting of the window self.setLayout (grid) self.setGeometry (300300350300) self.setWindowTitle ("plant recognition mini system") self.show () def openfile (self): # Open the picture pop-up window Select picture self.select_path=QFileDialog.getOpenFileName (self, "Select picture to be recognized", "/", "Imgae Files (* .jpg * .png)") # if no picture is selected Empty if not self.select_path [0] .strip (): pass else: # execute the following content after selecting the picture # set the path of the picture self.imgUrl.setText (self.select_path [0]) # display the picture in the picture label box # 1) according to the path pixmap Parse pixmap=QPixmap (self.select_path [0]) # 2) Zoom Image scalePixmap=pixmap.scaledToWidth (300) # scaledPixmap=pixmap.scaled (QSize (311301)) # 3) display self.imgLab.setPixmap (scalePixmap) result=self.identify () self.info.setText (result) # with Baidu AI Platform completes plant recognition work def identify (self): result=Request.BaiduAPI (self.select_path [0]) return result def main (): app=QApplication (sys.argv) ai=AIGUI () sys.exit (app.exec_ ()) if _ name__=='__main__': main () 3) effect display
First group of roses:
Second group of lilies:
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