Я получаю сообщение «Ошибка 404 - Запрошенный URL-адрес не найден на сервере. Если вы ввели URL-адрес вручную, проверьте правильность написания и повторите попытку». при запуске следующего кода:
import base64
import numpy as np
import io
from PIL import Image
import keras
from keras import backend as K
from keras.models import Sequential
from keras.models import load_model
from keras.preprocessing.image import ImageDataGenerator
from keras.preprocessing.image import img_to_array
from flask import request
from flask import jsonify
from flask import Flask
app = Flask(__name__)
def get_model():
global model
model = load_model('xrayV2.h5')
print("Model loaded!")
def preprocess_image(image, target_size):
if image.mode !="RGB":
image = image.convert("RGB")
image = image.resize(target_size)
image = img_to_array(image)
image = np.expand_dims(image, axis=0)
return image
print("Loading model!!")
get_model()
@app.route("/predict", methods=['POST'])
def predict():
message = request.get_json(force=True)
encoded = message['image']
decoded = base64.b64decode(encoded)
image = Image.open(io.BytesIO(decoded))
processed_image = preprocess_image(image, target_size=(224, 224))
prediction = model.predict(processed_image).tolist()
response = {
'prediction': {
'normal': prediction[0][0],
'pneumonia': prediction[0][1]
}
}
return jsonify(response)
Что-то не так с кодом или с кодом html, javascript?
<!DOCTYPE html>
<html>
<head>
<title>image app</title>
<style>
*{
font-size:30px;
}
</style>
</head>
<body>
<input id="image-selector" type="file">
<button id="predict-button">Predict</button>
<p style="font-weight:bold">Predictions</p>
<p>Normal: <span id="normal-prediction"></span></p>
<p>Pneumonia: <span id="pneumonia-prediction"></span></p>
<img id="selected-image" src=""/>
<script src="https://code.jquery.com/jquery=3.3.1.min.js"></script>
<script>
let base64Image;
$("image-selector").change(function(){
let reader = new FileReader();
reader.onLoad = function(e) {
let dataURL = reader.result;
$('#selected-image').attr("src", dataURL);
base64Image = dataURL.replace("data:image/jpeg;base64,","");
console.log(base64Image);
}
reader.readAsDataURL($("image-selector")[0].files[0]);
$("#normal-prediction").text("");
$("#pneumonia-prediction").text("");
});
$("#predict-button").click(function(event){
let message = {
image: base64Image
}
console.log(message);
$.post("http://10.0.0.4:5000/predict", JSON.stringify(message), function(response){
$("#noraml-prediction").text(response.prediction.normal.toFixed(6));
$("#pneumonia-prediction").text(response.prediction.pneumonia.toFixed(6));
console.log(response);
});
});
</script>
</body>
</html>
Что-то не так в коде? Или с версией tenorflow? я бегу Python 3.7.4 и тензор потока 2.1.0