我需要将上传的图片传递给Flask。HTML页面可以上传图片，但我无法将该图片作为请求传递给Flask。我原本是用它来进行图片预测的，但无法获取图片。
这是我的Flask代码
import numpy as npfrom flask import Flask, request, jsonify, render_templateimport numpyfrom PIL import Imagefrom keras.models import load_modelapp = Flask(__name__)model = load_model('traffic_classifier.h5')classes = { 1:'Speed limit (20km/h)', 2:'Speed limit (30km/h)', 3:'Speed limit (50km/h)', 4:'Speed limit (60km/h)', 5:'Speed limit (70km/h)', 6:'Speed limit (80km/h)', 7:'End of speed limit (80km/h)', 8:'Speed limit (100km/h)', 9:'Speed limit (120km/h)', 10:'No passing', 11:'No passing veh over 3.5 tons', 12:'Right-of-way at intersection', 13:'Priority road', 14:'Yield', 15:'Stop', 16:'No vehicles', 17:'Veh > 3.5 tons prohibited', 18:'No entry', 19:'General caution', 20:'Dangerous curve left', 21:'Dangerous curve right', 22:'Double curve', 23:'Bumpy road', 24:'Slippery road', 25:'Road narrows on the right', 26:'Road work', 27:'Traffic signals', 28:'Pedestrians', 29:'Children crossing', 30:'Bicycles crossing', 31:'Beware of ice/snow', 32:'Wild animals crossing', 33:'End speed + passing limits', 34:'Turn right ahead', 35:'Turn left ahead', 36:'Ahead only', 37:'Go straight or right', 38:'Go straight or left', 39:'Keep right', 40:'Keep left', 41:'Roundabout mandatory', 42:'End of no passing', 43:'End no passing veh > 3.5 tons' }@app.route('/')def index(): # Main page return render_template('index.html')@app.route('/traffic')def traffic(): # Main page return render_template('traffic.html')@app.route('/sleep')def sleep(): # Main page return render_template('sleep.html')@app.route('/predict',methods=['POST'])def predict(): ''' For rendering results on HTML GUI ''' if request. method == "POST": image=request. form["fileupload"] image = Image.open('D:/main_project/Traffic/Test/00006.png') image = image.resize((30,30)) image = numpy.expand_dims(image, axis=0) image = numpy.array(image) pred = model.predict_classes([image])[0] sign = classes[pred+1] return render_template('traffic.html', prediction_text='This sign represents {}'.format(sign))@app.route('/predict_api',methods=['POST'])def predict_api(): ''' For direct API calls trought request ''' data = request.get_json(force=True) prediction = model.predict([np.array(list(data.values()))]) output = prediction[0] return jsonify(output)if __name__ == "__main__": app.run(debug=True)这是我的HTML代码
<!DOCTYPE html><html lang="en-US" class="no-js no-svg"><br /><h2>Upload Traffic Signs</h2><br /><br /><br /><form action="{{ url_for('predict')}}"method="post"><input id="fileupload" name="fileupload" type="file" /><b></b><br /><br /><div width="250px" height="300px" id="dvPreview"></div><br /><br /><div id="txt" ></div><button type="submit" class="button button4">Classify Sign</button> </form><br /> {{ prediction_text }}<br /><br /><br /> <!-- images uploader ends--></html>我只需要预测那张图片，但无法将图片作为请求传递。请帮助解决这个问题。
回答：
<form method="post" action="{{ url_for('') }}" enctype="multipart/form-data">def upload_image(): try: if request.method == 'POST': ALLOWED_EXTENSIONS = [".png", ".jpg", ".jpeg", ".gif"] file = request.files['image'] if file and any(split_filename(file.filename)[1] == s for s in ALLOWED_EXTENSIONS): folder = app.config['UPLOAD_FOLDER'] pathName = app.config['IMAGE_PATH'] + datetime.utcnow().strftime( '%Y\\%m\\') if not os.path.exists(os.path.join(folder + pathName)): os.makedirs(folder + pathName) filename = str(uuid.uuid4()) + split_filename(file.filename)[1] file.save(os.path.join(folder + pathName, filename)) path = pathlib.PureWindowsPath(pathName + filename).as_posix() return url_for('main.get_file', path=path, _external=True) else: return 'Please Choose PNG, JPG, JPEG, GIF Image, Not ' + split_filename(file.filename)[1], 404 except Exception as error: return error.__str__()@mn.route('/file/<path:path>', methods=['GET'])def get_file(path): try: return send_file(os.path.join(app.config['UPLOAD_FOLDER'], path)) except : return send_file(os.path.join(app.config['UPLOAD_FOLDER'], '404.png'))这是我的代码
