Pezeshk e Khodkar Website

Situs web Pezeshk-e-Khodkar

Pezeshk-e-Khodkar-Webaite adalah situs web yang dapat mendeteksi penyakit dari gambar dengan model AI. Sekarang, tersedia untuk mendeteksi kanker kulit (melanoma, karsinoma sel basal dan karsinoma sel skuamosa)

Menginstal dan Menjalankan Situs Web

1. Klone Repositori

 git clone https://github.com/Pezeshk-e-Khodkar/Pezeshk-e-Khodkar-Webaite.git

2. Mengkonfigurasi VENV

Anda dapat menggunakan lingkungan virtual untuk menjalankan proyek. (direkomendasikan)

3. Pasang persyaratan

 pip install -r requirements.txt

4. Buat .env

Buat file yang disebut .env di bawah folder root dan konfigurasinya.

 SECRET_KEY = 'Django secret key'
ADMIN_URL = 'Url of admin page on the website'
ALLOWED_HOSTS = 'http://yourdomain.com'
VIRUSTOTAL_API_KEY = 'API-key of VirusTotal'
SKINCANCER_AI_MODEL = 'name of Skin Cancer AI model'
RECAPTCHA_PUBLIC_KEY = 'Public Key of recaptch'
RECAPTCHA_PRIVATE_KEY = 'Private Key of recaptch'
RECAPTCHA_REQUIRED_SCORE = 0.85
EMAIL_HOST_USER = 'A Gmail that we use it to send emails.'
EMAIL_HOST_PASSWORD = 'Password App of your gmail'

Juga, jika Anda ingin mengunggah situs web ini ke server (debug = false), ia menggunakan MySQL dengan opsi konfigurasi di bawah ini:

 MYSQL_DB_NAME= 'Database name'
MYSQL_DB_USER= 'DataBase user'
MYSQL_DB_PASSWORD= 'user's password'
MYSQL_DB_HOST='Database host'
MYSQL_DB_PORT='Database port'

5. Tambahkan aplikasi admin-honeypot

Unduh admin-honeypot dan salin folder admin-honeypot di bawah folder root proyek.

6. Buat folder

Buat dua folder yang disebut media dan models di bawah folder root.

7. Mengkonfigurasi model AI

Masukkan file model AI di bawah folder models .

8. Migrasi:

Di Linux, ganti python ke python3 .

 python manage.py makemigrations
python manage.py migrate

9. Konfigurasikan staticFiles

 python manage.py collectstatic

10. Jalankan!

 python manage.py runserver

Jalankan tes

1. Buat folder

Buat dua folder yang disebut output_images dan test_images di bawah libs/tests/ .

2. Atur gambar uji

Atur gambar yang ingin Anda uji API, di bawah libs/tests/test_images .

3. Mengkonfigurasi dataset.csv

Buat file yang disebut dataset.csv di bawah libs/tests/ dan tulis sesuatu seperti ini di dalamnya.

 FileName,AntiVirusTest,SkinCancerDetectorTest,ImageVerifierTest,FileSizeVerifierTest,ImageUploaderTest
1.jpg,0,1,1,1,1
2.jpg,0,0,0,1,0
3.png,0,0,0,0,0
4.jpg,0,1,1,1,1
5.jpg,0,1,1,1,1

0 berarti kelas itu harus mengembalikan false.
1 berarti bahwa kelas harus kembali benar.

4. Jalankan tes

 python manage.py test

Lisensi

 MIT License

Copyright (c) 2023 Pezeshk-e-Khodkar

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.