main.py
:
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtGui import QPixmap, QImage
import cv2
import os
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
self.loadimg.clicked.connect(self.load_img)
def load_img(self):
load_img_1, filter = QtWidgets.QFileDialog.getOpenFileName(None, "Select Image",
options=QtWidgets.QFileDialog.DontUseNativeDialog)
img = cv2.imread(load_img_1)
if img is None:
self.imglabel.setText("Cannot load the input image.")
else:
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
img_ = QImage(img.data, img.shape[1], img.shape[0], QImage.Format_RGB888)
self.imglabel.setPixmap(QPixmap.fromImage(img_))
pixmap = QPixmap.fromImage(img_)
pixmap = pixmap.scaled(self.imglabel.width(), self.imglabel.height())
if load_img_1:
pixmap = QtGui.QPixmap(load_img_1)
pixmap = pixmap.scaled(self.imglabel.width(), self.imglabel.height(),QtCore.Qt.KeepAspectRatio)
self.imglabel.setPixmap(pixmap)
self.imglabel.setAlignment(QtCore.Qt.AlignCenter)
self.imglabel.setScaledContents(True)
if __name__ == "__main__":
import sys
app = QtWidgets.QApplication(sys.argv)
MainWindow = QtWidgets.QMainWindow()
ui = Ui_MainWindow()
ui.setupUi(MainWindow)
MainWindow.show()
sys.exit(app.exec_())
classify.py
:
image = cv2.imread("/")
我是python和机器学习的初学者。我的学习有问题。
我在main.py
中制作了一个GUI,并且通过单击GUI def load_img(self):
上的按钮加载图像时,我希望图像的路径链接到image = cv2.imread("/")
中的classify.py
,但是我不知道不知道该怎么做。此外,我想如何在GUI的文本标签上显示分类结果,我也不知道如何。
因此,我需要您的帮助,并向我展示如何做到这一点。
非常感谢。
答案 0 :(得分:0)
在classify.py
中,将代码放入带有参数的函数中。 path and then you can
导入it and run function with your image filename as parametr. If function will return image then
main`可以获取并显示。
classify.py
def run(path)
image = cv2.imread(path)
# ... machine learning code ...
return image
main.py-请参见import
和image = clasify.run(filename)
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtGui import QPixmap, QImage
import cv2
import os
import classify # filename without .py
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
self.loadimg.clicked.connect(self.load_img)
def load_img(self):
load_img_1, filter = QtWidgets.QFileDialog.getOpenFileName(None, "Select Image",
options=QtWidgets.QFileDialog.DontUseNativeDialog)
#img = cv2.imread(load_img_1)
img = classify.run(load_img_1) # use it
if img is None:
self.imglabel.setText("Cannot load the input image.")
else:
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
img_ = QImage(img.data, img.shape[1], img.shape[0], QImage.Format_RGB888)
self.imglabel.setPixmap(QPixmap.fromImage(img_))
pixmap = QPixmap.fromImage(img_)
pixmap = pixmap.scaled(self.imglabel.width(), self.imglabel.height())
if load_img_1:
pixmap = QtGui.QPixmap(load_img_1)
pixmap = pixmap.scaled(self.imglabel.width(), self.imglabel.height(),QtCore.Qt.KeepAspectRatio)
self.imglabel.setPixmap(pixmap)
self.imglabel.setAlignment(QtCore.Qt.AlignCenter)
self.imglabel.setScaledContents(True)
if __name__ == "__main__":
import sys
app = QtWidgets.QApplication(sys.argv)
MainWindow = QtWidgets.QMainWindow()
ui = Ui_MainWindow()
ui.setupUi(MainWindow)
MainWindow.show()
sys.exit(app.exec_())