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SpringBoot과 카카오 자동응답 api를 사용한 인물사진 표정분석 어플리케이션입니다.
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Helloface
1.
카톡플러스친구withMSemotionapi 카카오톡친구검색:devhiki 소개 "인물표정분석챗봇" 사용자가카톡플친에게사진을보내면사진의인물에대한표정분석을리턴하 는어플리케이션입니다. 사용기술 1.카카오톡플러스친구API 2.MSfaceapi 3.springboot 라이선스 MIT라이선스를사용합니다.
2.
01.개발동기 게시판만들기나기술관점으로만학습하다보니재미가부족했습니다. 1.기존기술을잘활용해서 2.재미위주의바로접근이가능한서비스를만들고싶었습니다. 02.개발환경 1.최초windows8,intellij,jdk8환경에서개발시작 2.이후MacOS로이전
3.
03.개발하면서난감했던점. 1.이미지처리를해본적이없어서찾아가면서처리해야했다. 2.서버의성능과용량이적어서서버에저장되지않게하고싶었다. 3.카카오앱등록을위해서HTTPS가지원되는도메인이필요했다. 4.매번코드작성후업로드하기어려웠다. 5.gradle처음사용하는데문제가발생하면해결하기가어려웠다.
4.
04.작동영상/이미지
5.
05.상세한내부작동원리 SpringBootapp내부에서 사용자가이미지를챗봇으로보내면 답장으로링크를보내는데 이링크를누르면 1.카카오API를통해 i.사용자가보낸이미지의주소를얻어옴 ii.이미지주소로어플리케이션내부로가져오고 iii.이미지를적절한사이즈로리사이즈함
6.
2.MSFacedetectionAPI로표정분석 i.리사이즈된이미지를base64형태로MSFaceAPI로보냄 ii.json형태로이미지에서얼굴의위치와표정분석값을받음 3.앱자체적으로 i.리사이즈된이미지와표정분석된정보로이미지에표시함 ii.이미지에그리는과정으로결과물도이미지임 iii.결과물출력 이미지는서버에남기지않고,서로교환시엔Base64로인코딩된바이너리를 통해전송함.
7.
08.내부구조그림 이미지를생활코딩처럼만들어서넣어보자.
8.
07.개발환경문제. 1.jenkins를사용해서CI환경을만듬. 2.gradle을통해war를생성하고 3.서버에설치된tomcat디렉토리로복사함.
9.
08.이후해보고싶은것들 1.배포자체를docker를이용해서해보고싶음. 2.kubernate도학습해보고싶음.
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