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app.py
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app.py
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import os
import time
from flask import Flask, render_template, request, redirect
from inference import get_prediction
from commons import format_class_name
import numpy as np
import io
from PIL import Image
app = Flask(__name__)
@app.route('/', methods=['GET', 'POST'])#必须两个都写
def upload_file():
print('hahah')
if request.method == 'POST':
print('i use post')
print('request.url:',request.url)
print('request.files:',request.files)
if 'file' not in request.files:
return redirect(request.url)
file = request.files.get('file')
if not file:
return
img_bytes = file.read()
print('img_bytes:',img_bytes)
image = Image.open(io.BytesIO(img_bytes))
image_name=time.strftime('%Y_%m_%d_%H_%M_%S',time.localtime(time.time()))
image.save('static\{}.png'.format(image_name))
class_id, class_name = get_prediction(image_bytes=img_bytes)
class_name = format_class_name(class_name)
print('image_name:',image_name)
return render_template('result.html', class_id=class_id,
class_name=class_name,image_name=image_name+'.png')
return render_template('index.html')
if __name__ == '__main__':
app.run(debug=True, port=int(os.environ.get('PORT', 5000)))