Kivy Python FileChooser

问题描述

我要创建一个文件选择器按钮，它将选择一个图像文件并在窗口上显示以对图像进行分类。
我只是用kivy python进行了图像识别，但是想添加一个按钮，用户可以在其中从自己的系统中选择图像文件。 请帮我，在下面的代码中添加filechooser按钮：

main.py文件：

import kivy.app
import Fruits
from kivy.uix.popup import Popup
from kivy.uix.tabbedpanel import TabbedPanel
from kivy.properties import ObjectProperty,StringProperty
from kivy.lang import Builder

class FirstApp(kivy.app.App):
    def classify_image(self):
        img_path = self.root.ids["img"].source

        img_features = Fruits.extract_features(img_path)

        predicted_class = Fruits.predict_output("c:\\Users\\aakip\\Documents\\Python\\face_recognition school project\\weights.npy",img_features,activation="sigmoid")

        self.root.ids["label"].text = "Predicted Class : " + predicted_class

if __name__ == "__main__":

    firstApp = FirstApp(title="Fruits 360 Recognition.")
    firstApp.run()

Fruits.py：

import numpy
import PIL.Image


def sigmoid(inpt):
    return 1.0/(1.0+numpy.exp(-1*inpt))
    
def relu(inpt):
    result = inpt
    result[inpt<0] = 0
    return result

def predict_output(weights_mat_path,data_inputs,activation="relu"):
    weights_mat = numpy.load(weights_mat_path,allow_pickle=True) #allow_pickle=True
    r1 = data_inputs
    for curr_weights in weights_mat:
        r1 = numpy.matmul(r1,curr_weights)
        if activation == "relu":
            r1 = relu(r1)
        elif activation == "sigmoid":
            r1 = sigmoid(r1)
    r1 = r1[0,:]
    predicted_label = numpy.where(r1 == numpy.max(r1))[0][0]
    class_labels = ["Apple","RaspBerry","Mango","Lemon"]
    predicted_class = class_labels[predicted_label]
    return predicted_class

def extract_features(img_path):
    im = PIL.Image.open(img_path).convert("HSV")
    fruit_data_hsv = numpy.asarray(im,dtype=numpy.uint8)

    indices = numpy.load(file="c:\\Users\\aakip\\Documents\\Python\\face_recognition school project\\indices.npy")
    #indices  = numpy.load(file="indices.npy")
    
    
    hist = numpy.histogram(a=fruit_data_hsv[:,:,0],bins=360)
    im_features = hist[0][indices]
    img_features = numpy.zeros(shape=(1,im_features.size))
    img_features[0,:] = im_features[:im_features.size]
    return img_features

.kv文件：

#:kivy 1.10.0
BoxLayout:
    orientation: "vertical"
    Label:
        text: "Predicted Class Appears Here."
        font_size: 30
        id: label
    BoxLayout:
        orientation: "horizontal"
        Image:
            source: "apple.jpeg"
            id: img
    Button:
        text: "Classify Image."
        font_size: 30
        on_press: app.classify_image()

<FileChoosePopup>:
    title: "Choose a .jpeg File"
    size_hint: .9,.9
    auto_dismiss: False

    BoxLayout:
        orientation: "vertical"
        FileChooser:
            id: filechooser
            FileChooserIconLayout

        BoxLayout:
            size_hint: (1,0.1)
            pos_hint: {'center_x': .5,'center_y': .5}
            spacing: 20
            Button:
                text: "Cancel"
                on_release: root.dismiss()
            Button:
                text: "Load"
                on_release: root.load(filechooser.selection)
                id: ldbtn
                disabled: True if filechooser.selection==[] else False

谢谢！

解决方法

您是否尝试查看Kivi文档？ https://kivy.org/doc/stable/api-kivy.uix.filechooser.html

我相信这是您正在寻找的一部分。

class Root(FloatLayout):
    loadfile = ObjectProperty(None)
    def show_load(self):
        content = LoadDialog(load=self.load,cancel=self.dismiss_popup)
        self._popup = Popup(title="Load file",content=content,size_hint=(0.9,0.9))
        self._popup.open()
    def load(self,path,filename):
            with open(os.path.join(path,filename[0])) as stream:
                self.text_input.text = stream.read()
    
            self.dismiss_popup()