Первая версия webapp
Vladislav Moiseev
1 year ago
parent
97463c6b35
commit
5da1ecb2e2
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{
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// Use IntelliSense to learn about possible attributes.
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// Hover to view descriptions of existing attributes.
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// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
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"version": "0.2.0",
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"configurations": [
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{
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"name": "Python: Current File",
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"type": "python",
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"request": "launch",
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"module": "flask",
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"env": {
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"FLASK_APP": "webApp.py",
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"FLASK_DEBUG": "1"
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},
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"args": ["run", "--no-debugger", "--no-reload"]
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//"args": [ "5cc5570b-6ed9-3b33-9db4-bdb8ecb9f890", "test-data/lectionAudi/2021-03-12 13-51-19.JPG" ]
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}
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]
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}
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@ -1,52 +1,41 @@
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absl-py==1.4.0
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astunparse==1.6.3
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cachetools==5.3.0
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blinker==1.6.2
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certifi==2023.5.7
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charset-normalizer==3.1.0
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flatbuffers==23.5.9
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gast==0.4.0
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google-auth==2.18.1
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google-auth-oauthlib==1.0.0
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google-pasta==0.2.0
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grpcio==1.54.2
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h5py==3.8.0
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click==8.1.3
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colorama==0.4.6
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contourpy==1.1.0
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cycler==0.11.0
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filelock==3.12.2
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Flask==2.3.2
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fonttools==4.40.0
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idna==3.4
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jax==0.4.10
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keras==2.12.0
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libclang==16.0.0
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Markdown==3.4.3
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MarkupSafe==2.1.2
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itsdangerous==2.1.2
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Jinja2==3.1.2
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kiwisolver==1.4.4
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MarkupSafe==2.1.3
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matplotlib==3.7.1
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ml-dtypes==0.1.0
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numpy==1.23.5
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oauthlib==3.2.2
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mpmath==1.3.0
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networkx==3.1
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numpy==1.25.0
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opencv-python==4.7.0.72
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opt-einsum==3.3.0
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packaging==23.1
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pandas==2.0.1
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pandas==2.0.2
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Pillow==9.5.0
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protobuf==4.23.1
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psutil==5.9.5
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pyparsing==3.1.0
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python-dateutil==2.8.2
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pytz==2023.3
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PyYAML==6.0
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pyasn1==0.5.0
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pyasn1-modules==0.3.0
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requests==2.30.0
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requests-oauthlib==1.3.1
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rsa==4.9
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scipy==1.10.1
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requests==2.31.0
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scipy==1.11.0
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seaborn==0.12.2
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six==1.16.0
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tensorboard==2.12.3
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tensorboard-data-server==0.7.0
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tensorflow==2.12.0
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tensorflow-estimator==2.12.0
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tensorflow-intel==2.12.0
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tensorflow-io-gcs-filesystem==0.31.0
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termcolor==2.3.0
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sympy==1.12
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torch==2.0.1
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torchvision==0.15.2
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tqdm==4.65.0
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typing_extensions==4.5.0
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ultralytics==8.0.105
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urllib3==1.26.15
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Werkzeug==2.3.4
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wrapt==1.14.1
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typing_extensions==4.6.3
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tzdata==2023.3
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ultralytics==8.0.123
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urllib3==2.0.3
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Werkzeug==2.3.6
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@ -0,0 +1,49 @@
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<meta http-equiv="X-UA-Compatible" content="IE=edge" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>Анализ аудиторий</title>
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</head>
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<body>
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<p>
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Загрузите изображение в поле ниже, чтобы проверить, на фотография пустая
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или заполненная аудитория.
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</p>
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<form id="uploadForm" action="analyze">
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<div>
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<label for="image">Нажмите, чтобы загрузить изображение</label>
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<input type="file" name="image" id="image" />
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</div>
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<div>
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<label for="ontology">Онтология предметной области</label>
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<input type="file" name="ontology" id="ontology" />
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</div>
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<div>
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<button type="submit">Отправить</button>
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</div>
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</form>
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<img src="" alt="Результат" id="imgslot" />
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<script>
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document
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.getElementById("uploadForm")
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.addEventListener("submit", (event) => {
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event.preventDefault();
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const data = new FormData(event.target);
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fetch("/analyze", { method: "POST", body: data })
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.then((res) => res.json())
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.then((data) => {
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debugger;
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if (data.image) {
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document.getElementById("imgslot").src =
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"data:image/jpg;base64," + data.image;
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}
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console.log(data);
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});
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});
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</script>
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</body>
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</html>
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@ -0,0 +1,36 @@
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import base64
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import cv2 as cv
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from flask import Flask, redirect, request
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import numpy
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from imageWorking import get_image_buf_as_array
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from main import analyze_base
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app = Flask(__name__, static_url_path = "/")
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@app.route("/")
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def main():
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return redirect('index.html')
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@app.route("/analyze", methods=["POST"])
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def analyze():
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if 'image' not in request.files or request.files['image'].filename == '':
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return {
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'success': False,
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'error': 'Укажите изображение',
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}
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if 'ontology' in request.files and request.files['ontology'].filename != '':
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return {
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'success': False,
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'error': 'Загрузка онтологии ещё не реализована',
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}
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img = request.files['image'].read();
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img = numpy.fromstring(img, numpy.uint8)
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img = get_image_buf_as_array(img)
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queries = [ 'QueryGetNotEmpty', 'QueryGetCheck', 'QueryGetEmpty' ]
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results, response = analyze_base('5cc5570b-6ed9-3b33-9db4-bdb8ecb9f890', img, queries)
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imencoded = cv.imencode(".jpg", results[0].plot())[1]
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return {
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'success': True,
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'data': response,
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'image': base64.b64encode(imencoded).decode("utf-8"),
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}
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