🐱 🐶 PROJECT_CATDOG_PREDICT

Information

MMDetection 의 마스크 모델 샘플본을 사용하여 back-end 및 front-end 를 구현

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AI

Tech/AI Used

• MMDetection 2.10.0

Setting

1. *.py Download

   https://github.com/open-mmlab/mmdetection/tree/master/configs/cascade_rcnn 
   

2. *.pth Download

   • *.py와 동일한 모델의 pth 파일을 다운로드 수행

   https://download.openmmlab.com/mmdetection/v2.0/faster_rcnn/faster_rcnn_r50_fpn_1x_coco/faster_rcnn_r50_fpn_1x_coco_20200130-047c8118.pth
   

3. checkpoints 저장

   • pth 파일을 backend/catdog/ai/checkpoints 하위에 저장

MMDetection 참고자료

- https://mmdetection.readthedocs.io/en/latest/api.html  

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Back-end

Tech/Framework Used

• Python 3.7.4

built with

• VSCODE

Setting

1. VSCODE 에서 PROJECT_CATDOG_PREDICT 프로젝트 폴더 열고 Terminal - New Terminal 메뉴로 터미널 접속

   • {workspace}\PROJECT_CATDOG_PREDICT 프로젝트 폴더 생성 후 진행

2. python 가상환경 생성

   • 생성 경로는 AIDM 프로젝트 폴더 내에 생성

   • python -m venv {venv_name}

3. python 가상환경 실행

   • {venv_name}\Scripts\activate
   • python -m pip install --upgrade pip

4. python 라이브러리 설치

   • 인공지능 라이브러리
     • pip install torch==1.8.1+cu102 torchvision==0.9.1+cu102 torchaudio===0.8.1 -f https://download.pytorch.org/whl/torch_stable.html
     • pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/index.html
     • pip install mmdet==2.14.0
   • Django 라이브러리
     • pip install django==3.2.2
     • pip install django-allauth==0.44.0

   requirement.txt

   asgiref==3.5.1
   certifi==2021.10.8
   cffi==1.15.0
   charset-normalizer==2.0.12
   cryptography==37.0.2
   cycler==0.11.0
   Cython==0.29.28
   defusedxml==0.7.1
   Django==3.2.2
   django-allauth==0.44.0
   django-cors-headers==3.7.0
   django-rest-auth==0.9.5
   django-sslserver==0.22
   djangorestframework==3.13.1
   djangorestframework-simplejwt==4.6.0
   fonttools==4.33.3
   idna==3.3
   kiwisolver==1.4.2
   matplotlib==3.5.2
   mmdet==2.14.0
   numpy==1.21.6
   oauthlib==3.2.0
   packaging==21.3
   Pillow==9.1.0
   pycocotools-windows==2.0.0.2
   pycparser==2.21
   PyJWT==2.4.0
   pyparsing==3.0.9
   python-dateutil==2.8.2
   python3-openid==3.2.0
   pytz==2022.1
   requests==2.27.1
   requests-oauthlib==1.3.1
   six==1.16.0
   sqlparse==0.4.2
   terminaltables==3.1.10
   torch==1.8.1+cu102
   torchaudio==0.8.1
   torchvision==0.9.1+cu102
   typing_extensions==4.2.0
   urllib3==1.26.9
   

5. 실행 방법

• console 접속

  ${classPath}/venv/Script/activate
  
  cd backend
  
  py manage.py runserver

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Front-end

Tech/Framework Used

• React 17.0.2

built with

• VSCODE

Setting

1. package 설치

   npm install

2. 실행 방법

   npm start

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Made

© mizzleaa