3_lx 2022-05-19 10:35 采纳率: 75%
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PyQt5编写显示图片代码,但图片不显示

PyQt5编写显示图片代码,程序运行正常,但点击打开图片后直接闪退

# -*- coding: utf-8 -*-

# Form implementation generated from reading ui file 'classfier.ui'
#
# Created by: PyQt5 UI code generator 5.15.4
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again.  Do not edit this file unless you know what you are doing.

from PyQt5 import QtGui
from PyQt5.QtWidgets import QWidget, QApplication, QLabel, QPushButton, QVBoxLayout, QFileDialog
import cv2
from keras.models import load_model
import numpy as np
import sys,os

os.environ["CUDA_VISIBLE_DEVICES"] = "0"
class Classfier(QWidget):
    def __init__(self):
        super(Classfier,self).__init__()
        self.resize(800,600)
        self.setWindowTitle("垃圾分类系统")

        self.open = QPushButton(self)
        self.open.setText("打开图片")
        self.open.resize(790,50)
        self.open.move(10, 10)
        self.open.clicked.connect(self.open_image)

        self.path = QLabel(self)
        self.path.setText('图片路径')
        self.path.move(10, 100)

        self.display = QLabel(self)
        self.display.setText("显示图片")
        self.display.setFixedSize(300,300)
        self.display.move(5,150)
        self.display.setStyleSheet("QLabel{background:white;}"
                                   "QLabel{color:rgb(300,300,300,120);font-size:20px;font-weight:bold;font-family:宋体;}"
                                  )

        self.click = QPushButton(self)
        self.click.setText("点击预测分类")
        self.click.resize(790,50)
        self.click.move(5,490)
        self.click.clicked.connect(self.classifer)

        self.predicts = QLabel(self)
        self.predicts.setText('预测类别')
        self.predicts.setStyleSheet("font:16pt'楷体';border-width:2px;border-style: inset;border-color:gray")
        self.predicts.resize(790,40)
        self.predicts.move(5,550)

        layout1 = QVBoxLayout()
        layout1.addWidget(self.open)
        layout1.addWidget(self.path)
        layout1.addWidget(self.display)

        layout2 = QVBoxLayout()
        layout2.addWidget(self.click)
        layout2.addWidget(self.predicts)

        layout = QVBoxLayout()
        layout.addLayout(layout1)
        layout.addLayout(layout2)
        self.setLayout(layout)


    def open_image(self):
        global imgName
        imgName, imgType = QFileDialog.getOpenFileName(self, "打开图片","", "*.jpg;;*.png;;All Files(*)")
        jpg = QtGui.QPixmap(imgName)
        self.display.setScaledContents(True)
        self.dispaly.setPixmap(jpg)
        self.path.setText(str(imgName))


    def classifer(self):
        labels = {0: 'cardboard', 1: 'glass', 2: 'metal', 3: 'paper', 4: 'plastic', 5: 'trash'}
        img = cv2.imread(str(imgName))
        img = cv2.resize(img,(100, 100))  # 使尺寸大小一样
        img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
        img = np.array(img) / 255
        img = img.astype(np.float64)
        img = img.reshape(-1, 100, 100, 1)
        model = load_model('/result/Ynnex1.h5')
        predict_y = model.predict(img)
        pred_y = int(np.round(predict_y))
        print(pred_y)
        self.predicts.setText(labels[str(pred_y)])

if __name__ == "__main__":
    app = QApplication(sys.argv)
    my = Classfier()
    my.show()
    sys.exit(app.exec_())

img


请求各位帮忙解决一下,谢谢

  • 写回答

1条回答 默认 最新

  • llc的足迹 2022-05-19 11:00
    关注

    74行单词写错了

    self.dispaly ---- self.display

    本回答被题主选为最佳回答 , 对您是否有帮助呢?
    评论

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问题事件

  • 系统已结题 5月27日
  • 已采纳回答 5月19日
  • 创建了问题 5月19日