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