웹페이지 접속
만들오토는 웹페이지 접속으로 사용할 수 있습니다.
설정
1. 화면캡처
1.1. Web RTC
Web RTC는 브라우저의 기본 기능으로, 체크 후 "캡처시작" 버튼을 누르면 캡처할 창을 선택할 수 있습니다. 윈도우에서만 사용 가능합니다.
※ 캡처시작 버튼은 opencv.js 라이브러리의 로딩이 끝나야 활성화 됩니다. 기다려도 활성화 되지 않는다면, 새로고침을 해보시기 바랍니다.
1.2. From URL
Web RTC는 안드로이드에서 지원되지 않기 때문에 별도의 스트리밍 서버로부터 읽어와야 합니다. 이때 From URL을 선택하고 캡처시작 버튼을 누르면, 읽어올 URL을 입력합니다. 한번 입력한 주소는 브라우저에 저장됩니다.
윈도우 PC에서는 파이썬을 이용해 손쉽게 스트리밍 서버를 만들 수 있습니다. 다음 소개한 글을 참고해 주세요.
2. 입력장치
2.1. Serial
Web Serial API를 이용해 브라우저와 입력장치(Arduino Leonardo)를 Serial 통신으로 연결합니다. 윈도우에서만 사용 가능합니다.
Arduino Leonardo를 사용하기 위한 스케치 업로드는 다음 글을 참고해 주세요.
관련 글들도 블로그 내에 있으니 찾아보시면 좋겠습니다.
2.2. From URL
Web Serial API는 안드로이드에서 지원되지 않습니다. 별도의 입력 서버를 만들어, 해당 주소로 신호를 보내는 방식입니다. 한번 입력한 주소는 브라우저에 저장됩니다.
윈도우 PC에서 파이썬을 이용해 입력 서버를 만드는 예제는 아래 글을 참고해 주세요.
win32 API를 이용해 입력 이벤트를 발생시키므로, 일반적인 사용은 가능하지만 게임에는 적용 불가능 합니다.
3. 기타
3.1. FPS설정
앱은 캡처->알고리즘처리->입력처리를 무한히 반복합니다. 초당 몇번 처리할지를 입력해줄 수 있으며, 기본값은 10 (1초에 10번) 으로 설정되어 있습니다.
안드로이드에서 사용할 경우, FPS를 0.5 또는 1 수준으로 사용하시길 권장합니다.
3.2. 새창열기
앱처럼 브라우저 크기를 최소화 하여 창을 새로 엽니다. 윈도우 PC에서 사용 가능합니다.
3.3. 캡처저장
현재 캡처중인 이미지를 저장합니다. 이미지처리 알고리즘을 사용하는 경우, 이 이미지가 기준이 됩니다. 윈도우 PC와 안드로이드 모두 사용 가능합니다.
연속적으로 이미지를 저장하는 경우, 브라우저에서 별도 권한을 요청합니다. 초반에 여러번 다운로드를 시도하여 권한을 받아놓길 권장합니다.
3.4. 사용방법
이 글로 연결되는 링크입니다.
실행제어
각 기능의 단위를 슬롯이라고 표현했습니다. 슬롯을 추가하고, 사용 여부를 체크할 수 있습니다. 슬롯의 종류는 현재 3가지가 있습니다.
- timer : 일정 시간마다 입력을 반복하는 기능
- imgslot : 이미지를 인식하여 입력을 반복하는 기능
- hpslot : 게임용으로, 캐릭터의 HP 이미지를 백분율 값으로 반환하고, 특정 구간에서 입력을 반복하는 기능
모든 슬롯 파일은 OOO.json 파일형식으로 저장해야 합니다.
1. timer 슬롯 만들기
{
"type" : "timer",
"name" : "예제",
"key" : "Hello",
"cooltime" : 5.0,
"tele_token" : "",
"tele_room" : ""
}
※ 문자열 값은 쌍따옴표가 필수입니다.
위 양식을 메모장에 붙여넣고 "아무파일명.json"으로 저장한 후 불러오면 위 이미지의 예제와 같이 슬롯이 생성됩니다.
위 예제는 5초에 한번씩 Hello를 키보드로 입력해주는 예제입니다.
각 키워드에 관한 설명은 다음과 같습니다.
- type : timer로 타입을 선언합니다.
- name : 앱으로 불러왔을 때 적용할 이름입니다.
- key : 사용할 키를 기입합니다. key에 관한 부분은 뒤에서 더 다루도록 하겠습니다.
- cooltime : 한번 실행하고 재실행까지 적용할 쿨타임 입니다.
- tele_token : 텔레그램으로 알람을 사용할 경우에 기입하며, 토큰을 입력합니다.
- tele_room : 텔레그램으로 알림을 사용할 경우에 기입하며, 채팅방 번호를 입력합니다.
2. imgslot 만들기
아래 더보기를 눌러 펼쳐보세요
{
"type" : "imgslot",
"name" : "만들오",
"key" : "click",
"cooltime" : 5.0,
"roi_p1" : [0, 0],
"roi_p2" : [1920, 1080],
"thres" : 2000000,
"src" : "data:image/png;base64,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",
"capture_size" : [1920,1080],
"tele_token" : "",
"tele_room" : ""
}
위 예제는 제 블로그의 아이콘을 찾아 클릭하는 예제입니다.
- type : imgslot으로 타입을 선언합니다.
- name : 앱으로 불러왔을 때 적용할 이름입니다.
- key : 사용할 키를 기입합니다. click 키워드는 imgslot에서만 사용할 수 있으며, 찾은 이미지를 클릭하는 기능입니다.
- cooltime : 한번 실행하고 재실행까지 적용할 쿨타임 입니다.
- roi_p1 : 이미지를 찾을 영역 중 좌측 상단 기준점 입니다.
- roi_p2 : 이미지를 찾을 영역 중 우측 하단 기준점 입니다.
- thres : 찾은 결과의 수치가 이 값보다 크면 key를 입력합니다.
- 1) src : 이미지를 base64 형태로 변환한 텍스트를 입력합니다.
- 2) capture_size : 이미지를 캡처한 크기입니다.
- tele_token : 텔레그램으로 알람을 사용할 경우에 기입하며, 토큰을 입력합니다.
- tele_room : 텔레그램으로 알림을 사용할 경우에 기입하며, 채팅방 번호를 입력합니다.
1) src
한 파일에 이미지와 설정을 모두 담기위해 이미지를 base64 문자열로 변환하여 관리합니다.
이미지를 base64로 변환하는건 아래 사이트에서 손쉽게 할 수 있습니다.
Base64 Image Encoder (base64-image.de)
캡처한 이미지를 등록하고, show code 부분을 클릭합니다.
copy to clipboard 버튼을 누르면 자동으로 복사가 됩니다. 이 문자를 붙여넣으면 끝.
2) capture_size
이미지를 떠온 해상도를 입력합니다. 위 예제는 전체화면으로 캡처를 했고, 이 해상도가 1920x1080 입니다.
특정 창을 선택한 경우, 그 창의 해상도를 입력합니다.
3. hpslot 만들기
{
"type" : "hpslot",
"name" : "힐",
"key" : "4",
"cooltime" : 3.0,
"roi_p1" : [96, 43],
"roi_p2" : [316, 53],
"thres" : 210,
"hp_range" : [0, 85],
"capture_size" : [1280,720],
"tele_token" : "",
"tele_room" : ""
}
hpslot은 게임 기능에 특화되어 있습니다. 위 코드는 리니지M 게임을 1280x720 해상도로 캡처하여 계산한 HP위치를 포함하고 있습니다. 체력이 0~85구간에 있다면 4번키를 입력하는 예제입니다.
- type : hpslot으로 타입을 선언합니다.
- name : 앱으로 불러왔을 때 적용할 이름입니다.
- key : 사용할 키를 기입합니다.
- cooltime : 한번 실행하고 재실행까지 적용할 쿨타임 입니다.
- roi_p1 : HP 이미지를 찾을 영역 중 좌측 상단 기준점 입니다.
- roi_p2 : HP 이미지를 찾을 영역 중 우측 하단 기준점 입니다.
- thres : HP바의 빨간색만 불러온 후 cutoff 하는데 필요한 임계값 입니다. 0~255의 값을 갖습니다.
- hp_range : 키를 입력할 체력 구간입니다.
- capture_size : 이미지를 캡처한 크기입니다.
- tele_token : 텔레그램으로 알람을 사용할 경우에 기입하며, 토큰을 입력합니다.
- tele_room : 텔레그램으로 알림을 사용할 경우에 기입하며, 채팅방 번호를 입력합니다.
key 설정하기
key는 공란(스페이스)로 입력할 키를 구분하여 여러 키를 입력할 수 있으며, 버튼입력 외에도 기능을 사용할 수 있습니다. 다음 키워드를 입력하면 기능을 실행합니다.
○ noti : 텔레그램으로 메시지를 보냅니다. 텔레그램 토큰과 채팅방 번호를 입력해두어야 합니다.
예) "key" : "noti(안녕하세요)" → 텔레그램으로 안녕하세요 메시지 발송
○ photo : 텔레그램으로 현 상황을 캡처해 보냅니다. 텔레그램 토큰과 채팅방 번호를 입력해두어야 합니다.
예) "key" : "photo(현재상황)" → 텔레그램으로 현재상황이라는 메시지와 함께 이미지 발송
○ -숫자 : 입력한 숫자만큼 대기합니다
예) "key" : "8 -2.5 8" → 8번키 입력, 2.5초 대기, 8번키 입력
○ click : imgslot에서만 사용 가능하며, 찾은 이미지를 클릭합니다
예) "key" : "click" / "thres" : 300000 → 찾은 이미지의 값이 300000 이상일 때, 찾은 이미지 클릭
○ 복합 예제
"key" : "1 -1 2 -1.5 noti(완료)" → 1번키 입력, 1초 대기, 2번키 입력, 1.5초 대기, 텔레그램 메시지 발송
마치며
만들오토 관련된 궁금한 부분은 댓글을 남겨주세요.
개발을 지속할 수 있도록 블로그와 유튜브 채널에 많이 방문해 주시면 감사하겠습니다.
[끝].
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