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This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app).
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# GSEPS Control Center
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## Getting Started
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## 프로젝트 소개
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First, run the development server:
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- 카메라에서 수집된 사진 이미지를 inference 한 결과 이미지와 결과 데이터를 히스토그램 차트로 보여주는 Control Center 화면
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```bash
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npm run dev
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# or
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yarn dev
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# or
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pnpm dev
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```
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### 배포 주소
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Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
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- [GSEPS Control Center](http://13.209.39.139:31985/dashboard)
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You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file.
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### 기술 스택
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This project uses [`next/font`](https://nextjs.org/docs/basic-features/font-optimization) to automatically optimize and load Inter, a custom Google Font.
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- react
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- next.js
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- typescript
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- tailwindCSS
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- nivo chart
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## Learn More
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### 화면 구성
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To learn more about Next.js, take a look at the following resources:
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<img src="./public/readmeImage.png">
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- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.
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- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.
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### 주요 기능
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You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js/) - your feedback and contributions are welcome!
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## Deploy on Vercel
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The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.
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Check out our [Next.js deployment documentation](https://nextjs.org/docs/deployment) for more details.
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- 카메라에서 수집된 사진 원본 이미지, inference 결과 이미지 제공
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- inference 결과 데이터에 따른 히스토그램 차트 제공
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