我运行了一个预测图像是湖泊还是海洋的模型。我已经能够在我上传图像的本地主机上成功地提供此模型，并预测班级（海洋或湖泊）以及概率/置信度。我可以返回该结果，或者我可以返回图像，但由于某种原因，我无法返回图像和预测结果。
我搜索了stackoverflow和github，并根据评论代码尝试了许多不同的东西。我可以从网络上显示图像，但我无法显示上传的图像。我已经阅读并利用了Github的代码，但只返回没有预测结果的图像
from flask import Flask, flash, request, redirect, url_for
import os
from werkzeug import secure_filename
from flask import send_from_directory
UPLOAD_FOLDER = ''
ALLOWED_EXTENSIONS = set(['jpg'])
app = Flask(__name__)
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
def allowed_file(filename):
return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
@app.route('/', methods=['GET', 'POST'])
def upload_file():
if request.method == 'POST':
# check if the post request has the file part
if 'file' not in request.files:
flash('No file part')
return redirect(request.url)
file = request.files['file']
# if user does not select file, browser also
# submit an empty part without filename
if file.filename == '':
flash('No selected file')
return redirect(request.url)
if file and allowed_file(file.filename):
filename = secure_filename(file.filename)
file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename))
image = open_image(filename)
image_url = url_for('uploaded_file', filename=filename)
#print(learn.predict(image))
ok = learn.predict(image)
first = round(ok[2].data.tolist()[0], 4)*100
second = round(ok[2].data.tolist()[1], 4)*100
if first > second:
okp = first
else:
okp = second
#return redirect(url_for('uploaded_file', filename=filename)) I can get this to work
#return '''url_for('uploaded_file', filename=filename)'''
#return '''<img src = "{{image}}"/>'''
#return '''<h1>The prediction is: {}</h1><h1>With a confidence of: {}%'''.format(ok[0], okp)
return '''<h1>The prediction is: {}</h1><h1>With a confidence of: {}%</h1>
<img src= "{{image_url}}" height = "85" width="200"/>'''.format(ok[0], okp)
#return '''<img src = "{{send_from_directory(app.config['UPLOAD_FOLDER'], filename)}}"/>'''
return '''
<!doctype html>
<title>Upload new File</title>
<h1>Upload a jpg of an Ocean or a Lake</h1>
<form method=post enctype=multipart/form-data>
<input type=file name=file>
<input type=submit value=Upload>
</form>
'''
@app.route('/uploads/<filename>')
def uploaded_file(filename):
return send_from_directory(app.config['UPLOAD_FOLDER'], filename)
if __name__ == '__main__':
app.run(port=5000, debug=False)
这就是我得到的：
预测是：海洋 信心：94.66％ 然后当pic不在时，pic的图标
我想显示与结果一起上传的图像。
只需将image_url值放在<img href="...">属性中：
return '''<h1>The prediction is: {}</h1><h1>With a confidence of: {}%</h1>
<img src="{}" height = "85" width="200"/>'''.format(ok[0], okp, image_url)
你不能使用{{image_url}}语法，这要求你使用Flask的Jinja2模板功能。
image_url是您为uploaded_file()视图生成的字符串，因此浏览器知道从哪里加载图像以填充HTML页面中的<img />标记。