firelab-general/flask_frontend.py

60 lines
2.0 KiB
Python

from flask import Flask, render_template, request
from werkzeug.utils import secure_filename
import numpy as np
from ratio_pyrometry import ratio_pyrometry_pipeline
import base64
import random
import cv2 as cv
app = Flask(
__name__,
static_folder='./static',
static_url_path='/s/'
)
app.config['STATIC_FOLDER'] = './static'
app.config['STATIC_URL_PATH'] = '/s'
@app.route('/', methods=['GET'])
def index():
return render_template('index.jinja2')
@app.route('/ratio_pyro', methods=['POST'])
def ratio_pyro():
f = request.files['file']
f_name = f.filename.split('.')[0]
f_ext = f.filename.split('.')[1]
f_bytes = np.fromstring(f.read(), np.uint8)
img_orig, img_res, key = ratio_pyrometry_pipeline(
f_bytes,
ISO=float(request.form['iso']),
I_Darkcurrent=float(request.form['i_darkcurrent']),
exposure_time=float(request.form['exposure_time']),
f_stop=float(request.form['f_stop']),
MAX_TEMP=float(request.form['max_temp']),
MIN_TEMP=float(request.form['min_temp'])
)
img_orig_b64 = base64.b64encode(cv.imencode('.png', img_orig)[1]).decode(encoding='utf-8')
img_res_b64 = base64.b64encode(cv.imencode('.png', img_res)[1]).decode(encoding='utf-8')
# img_res_b64 = base64.b64encode(img_res).decode()
# img_orig_fname = secure_filename(f'{f_name}.{f_ext}')
# img_res_fname = secure_filename(f'{f_name}-{hex(int(random.random() * 10000000000000000000))}.{f_ext}')
# cv.imwrite(f'{app.config["STATIC_FOLDER"]}/{img_orig_fname}', img_orig)
# cv.imwrite(f'{app.config["STATIC_FOLDER"]}/{img_res_fname}', img_res)
# img_orig_path = f'{app.config["STATIC_URL_PATH"]}/{img_orig_fname}'
# img_res_path = f'{app.config["STATIC_URL_PATH"]}/{img_res_fname}'
return render_template(
'results.jinja2',
# img_orig_path=img_orig_path,
# img_res_path=img_res_path,
img_orig_b64=img_orig_b64,
img_res_b64=img_res_b64,
legend=key
)