You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
37 lines
1.2 KiB
Python
37 lines
1.2 KiB
Python
import base64
|
|
import cv2 as cv
|
|
from flask import Flask, redirect, request
|
|
import numpy
|
|
from imageWorking import get_image_buf_as_array
|
|
from main import analyze_base
|
|
|
|
app = Flask(__name__, static_url_path = "/")
|
|
|
|
@app.route("/")
|
|
def main():
|
|
return redirect('index.html')
|
|
|
|
@app.route("/analyze", methods=["POST"])
|
|
def analyze():
|
|
if 'image' not in request.files or request.files['image'].filename == '':
|
|
return {
|
|
'success': False,
|
|
'error': 'Укажите изображение',
|
|
}
|
|
if 'ontology' in request.files and request.files['ontology'].filename != '':
|
|
return {
|
|
'success': False,
|
|
'error': 'Загрузка онтологии ещё не реализована',
|
|
}
|
|
img = request.files['image'].read();
|
|
img = numpy.fromstring(img, numpy.uint8)
|
|
img = get_image_buf_as_array(img)
|
|
queries = [ 'QueryGetNotEmpty', 'QueryGetCheck', 'QueryGetEmpty' ]
|
|
results, response = analyze_base('5cc5570b-6ed9-3b33-9db4-bdb8ecb9f890', img, queries)
|
|
imencoded = cv.imencode(".jpg", results[0].plot())[1]
|
|
return {
|
|
'success': True,
|
|
'data': response,
|
|
'image': base64.b64encode(imencoded).decode("utf-8"),
|
|
}
|