在遵循Flask文档/有关如何上传文件的教程时,我使用了以下代码:
main.py:
from flask import render_template, jsonify, Flask, redirect, url_for, request
from app import app
import random
import os
from keras.applications.resnet50 import ResNet50
from keras.preprocessing import image
from keras.applications.resnet50 import preprocess_input, decode_predictions
import numpy as np
@app.route('/')
@app.route('/upload')
def upload_file2():
return render_template('index.html')
@app.route('/uploaded', methods = ['GET', 'POST'])
def upload_file():
if request.method == 'POST':
f = request.files['file']
path = os.path.join(app.config['UPLOAD_FOLDER'], f.filename)
model= ResNet50(weights='imagenet')
img = image.load_img(path, target_size=(224,224))
x = image.img_to_array(img)
x = np.expand_dims(x, axis=0)
x = preprocess_input(x)
preds = model.predict(x)
preds_decoded = decode_predictions(preds, top=3)[0]
print(decode_predictions(preds, top=3)[0])
f.save(path)
return render_template('uploaded.html', title='Success', predictions=preds_decoded, user_image=f.filename)
@app.route('/index')
def index():
return render_template('index.html', title='Home')
@app.route('/map')
def map():
return render_template('map.html', title='Map')
@app.route('/map/refresh', methods=['POST'])
def map_refresh():
points = [(random.uniform(48.8434100, 48.8634100),
random.uniform(2.3388000, 2.3588000))
for _ in range(random.randint(2, 9))]
return jsonify({'points': points})
@app.route('/contact')
def contact():
return render_template('contact.html', title='Contact')
代码中的所有内容似乎都还不错。我已经检查了几次。
在Windows机器上的localhost上运行它时会很好。
我尝试过:在 http://localhost:5000/ 和 http://localhost:5500/
上我还清理了浏览器...
答案 0 :(得分:1)
更改 @ app.route('/ uploaded',方法= ['GET','POST']) 至 @ app.route('/ upload.php',方法= ['GET','POST'])
或者,更改您的前端表单以发布到上载。