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거북목 탈출 넘버원 (제7회 소프트웨어 개발보안 경진대회 해커톤)

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ihunch-escape

Thanks!

Usage

from requests import post
r = post('https://api.ihunch.koyo.io/upload', files={'file': open('demo.jpg', 'rb')})
d = r.json()
if d['human']:
    print('ihunch:', d['pred'])

Docker

docker run --name ihunch \
    -it -d \
    --gpus device=0 \
    -e DJANGO_SECRET_KEY="generated key" \
    -v ~/docker/etc/letsencrypt:/etc/letsencrypt \
    -p 443:443 \
    koyokr/ihunch-escape

Requirements

  • CUDA 11.2 and CuDNN 8 (GeForce RTX 3080)
  • OpenCV 4.5.1
  • Python 3.8
  • PyTorch 1.8.1
  • Detectron2 0.4
  • XGBoost 1.4.1
  • Django REST framework 3.12.4
  • Gunicorn 20.1.0
  • Nginx 1.18.0
  • Supervisord 4.1.0

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거북목 탈출 넘버원 (제7회 소프트웨어 개발보안 경진대회 해커톤)

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