我正在尝试部署我的 ml model 来对植物图像进行分类，但是即使路径正确，我也找不到文件错误

Question

the error is cmd error snip the above picture shows the error im facing in cmd错误是cmd 错误截图上图显示了我在 cmd 中面临的错误

the file directory文件目录

templates
--->index.html   
uploads  
venv  
app.py  
cnn_model.pkl  
index.py  
main.py

app.py应用程序.py


    from flask import Flask

    UPLOAD_FOLDER = "/uploads"

    app = Flask(__name__)
    app.secret_key = "secret key"
    app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER

index.py索引.py


    from flask import Flask, render_template, request, redirect, flash, url_for
    import main
    import urllib.request
    from app import app
    from werkzeug.utils import secure_filename
    from main import getPrediction
    import os


    @app.route('/')
    def index():
        return render_template('index.html')


    @app.route('/', methods=['POST'])
    def submit_file():
        if request.method == 'POST':
            if 'file' not in request.files:
                flash('No file part')
                return redirect(request.url)
            file = request.files['file']
            if file.filename == '':
                flash('No file selected for uploading')
                return redirect(request.url)
            if file:
                filename = secure_filename(file.filename)
                print(filename)
                file.save(os.path.join(app.config['UPLOAD_FOLDER'],filename))
                label = getPrediction(filename)
                flash(label)
                return redirect('/')


    if __name__ == "__main__":
        app.run()

index.html索引.html


    <!doctype html>
    <title>Plant Classifier</title>
    <h2>Select a file to upload</h2>
    <p>
        {% with messages = get_flashed_messages() %}
          {% if messages %}
            Label: {{ messages[0] }}

          {% endif %}
        {% endwith %}
    </p>
    <form method="post" action="/" enctype="multipart/form-data">
        <dl>
        <p>
            <input type="file" name="file" autocomplete="off" required>
        </p>
        </dl>
        <p>
        <input type="submit" value="Submit">
        </p>
    </form>

main.py主文件



    labels=['Pepper__bell___Bacterial_spot','Pepper__bell___healthy',
    'Potato___Early_blight','Potato___Late_blight','Potato___healthy',
    'Tomato_Bacterial_spot','Tomato_Early_blight','Tomato_Late_blight',
    'Tomato_Leaf_Mold','Tomato_Septoria_leaf_spot',
    'Tomato_Spider_mites_Two_spotted_spider_mite','Tomato__Target_Spot',
    'Tomato__Tomato_YellowLeaf__Curl_Virus','Tomato__Tomato_mosaic_virus',
    'Tomato_healthy']

    def convert_image_to_array(image_dir):
        try:
            image = cv2.imread(image_dir)
            if image is not None :
                image = cv2.resize(image, default_image_size)   
                return img_to_array(image)
            else :
                return np.array([])
        except Exception as e:
            print(f"Error : {e}")
            return None

    default_image_size = tuple((256, 256))


    def getPrediction(filename):
        file_object = 'cnn_model.pkl'
        model=pickle.load(open(filename, 'rb'))

        #model = pickle.load(file_object)
        #imgpath='/content/drive/My Drive/Final Project files/TEST.JPG'
        lb = preprocessing.LabelBinarizer()

        imar = convert_image_to_array(filename) 
        npimagelist = np.array([imar], dtype=np.float16)/225.0 
        PREDICTEDCLASSES2 = model.predict_classes(npimagelist) 
        num=np.asscalar(np.array([PREDICTEDCLASSES2]))
        return labels[num]

firstly i upload a pic through html file and this uploaded file is passed down to my saved cnn model which will be used to predict the plant disease and this will be displayed as output.首先我通过 html 文件上传一张图片，这个上传的文件被传递到我保存的 cnn model 将用于预测植物病害，这将显示为 Z78E6221F6393D1356681DB398F14CE6681DB398F14CE6。

https://medium.com/@arifulislam_ron/flask-web-application-to-classify-image-using-vgg16-d9c46f29c4cd im referencing the code from above link https://medium.com/@arifulislam_ron/flask-web-application-to-classify-image-using-vgg16-d9c46f29c4cd我引用了上面链接中的代码

Answer 1

Either add like this:要么像这样添加：

import os

basedir = os.path.abspath(os.path.dirname(__file__))
UPLOAD_FOLDER = os.path.join(basedir, '/uploads')

or或者

UPLOAD_FOLDER = os.getcwd() + '/uploads'

我正在尝试部署我的 ml model 来对植物图像进行分类，但是即使路径正确，我也找不到文件错误

问题描述

1 个解决方案

解决方案1
1 2020-04-28 07:49:36

我正在尝试部署我的 ml model 来对植物图像进行分类，但是即使路径正确，我也找不到文件错误

问题描述

1 个解决方案

解决方案1 1 2020-04-28 07:49:36

解决方案1
1 2020-04-28 07:49:36