<p>1. 먼저 git을 내려받는다</p><p>git clone <a href="https://github.com/opencv/cvat.git" target="_top" class="ke-link">https://github.com/opencv/cvat.git</a></p><div class="figure-open" contenteditable="false" data-ke-type="opengraph" data-ke-align="alignCenter" data-og-type="website" data-og-title="GitHub - cvat-ai/cvat: Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by tea" data-og-description="Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. - cvat-ai/cvat" data-og-host="github.com" data-og-source-url="https://github.com/opencv/cvat.git" data-og-url="https://github.com/cvat-ai/cvat" data-og-image="https://scrap.kakaocdn.net/dn/euXxGH/hyWCOvEuIJ/UUFNZqr31Y5BnhQdPZ46r1/img.jpg?width=1420&height=725&face=0_0_1420_725"><a href="https://github.com/opencv/cvat.git" target="_blank" data-source-url="https://github.com/opencv/cvat.git"><div class="og-image"><img src="https://scrap.kakaocdn.net/dn/euXxGH/hyWCOvEuIJ/UUFNZqr31Y5BnhQdPZ46r1/img.jpg?width=1420&height=725&face=0_0_1420_725" alt="" xxonerror="this.src="//img1.kakaocdn.net/thumb/C200x200/?fname=https%3A%2F%2Ft1.daumcdn.net%2Fcafe_image%2Fcafe_meta_image_190529.png""></div><div class="og-text"><p class="og-title">GitHub - cvat-ai/cvat: Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by tea</p><p class="og-desc">Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. - cvat-ai/cvat</p><p class="og-host">github.com</p></div></a></div><p> </p><p>2. Docker Compose로 CVAT을 구성한다. </p><p>docker-compose -f docker-compose.yml -f docker-compose.dev.yml -f components/serverless/docker-compose.serverless.yml up -d</p><p> </p><div class="figure-img" data-ke-type="image" data-ke-style="alignCenter" data-ke-mobilestyle="widthOrigin"><img src="https://t1.daumcdn.net/cafeattach/1PqNJ/293c8d615766a34f91eedc0a716d9010b7e4139a" class="txc-image" data-img-src="https://t1.daumcdn.net/cafeattach/1PqNJ/293c8d615766a34f91eedc0a716d9010b7e4139a" data-origin-width="1243" data-origin-height="267"></div><p>3. 정상 실행 확인 한다. </p><div class="figure-img" data-ke-type="image" data-ke-style="alignCenter" data-ke-mobilestyle="widthOrigin"><img src="https://t1.daumcdn.net/cafeattach/1PqNJ/baccfbd32c5ec1f546e964bf06537a291b9e228e" class="txc-image" data-img-src="https://t1.daumcdn.net/cafeattach/1PqNJ/baccfbd32c5ec1f546e964bf06537a291b9e228e" data-origin-width="1632" data-origin-height="550"></div>
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