| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| 13 | 14 | 15 | 16 | 17 | 18 | 19 |
| 20 | 21 | 22 | 23 | 24 | 25 | 26 |
| 27 | 28 | 29 | 30 | 31 |
- node.js
- 주일설교
- No SQL
- 빅데이타
- 빅 데이터
- 인공지능
- 데이터 과학
- 우리들교회
- 빅 데이타
- R
- probability
- 김양재 목사님
- c++
- 빅데이터
- data science
- nodeJS
- openCV
- Deep learning
- Machine Learning
- WebGL
- 확률
- Artificial Intelligence
- Big Data
- Statistics
- 통계
- 김양재 목사
- 몽고디비
- MongoDB
- 김양재
- 딥러닝
- Today
- Total
목록Video (2)
Scientific Computing & Data Science
이번 글에서는 Canvas 태그에 웹캠 화면을 출력하는 방법을 알아보도록 하겠다. [Project File Download] [webcam.html] [/stylesheets/main.css] .booth { width: 800px; background: #ccc; border: 10px solid #ddd; margin: 0 auto; } [/javascripts/video.js] (function() { var canvas = document.getElementById('canvas'), context = canvas.getContext('2d'), video = document.getElementById('video'), vendorUrl = window.URL || window.webkitURL;..
Video content analysis (also Video content analytics, VCA) is the capability of automatically analyzing video to detect and determine temporal events not based on a single image. As such, it can be seen as the automated equivalent of the biological visual cortex.This technical capability is used in a wide range of domains including entertainment,[1] health-care, retail, automotive, transport, ho..