Capturing images from webcam and converting to rgb24. Linux only (v4l2)
npm install linuxcam
var cam = require('linuxcam');
cam.start("/dev/video0", 320, 240);
var frame = cam.frame(); // Buffer
The buffer contains rgb24 data and you can convert it using jpeg-fresh module.
var Jpeg = require('jpeg-fresh').Jpeg;
var jpeg = new Jpeg(frame.data, frame.width, frame.height, 'rgb');
var jpeg_image = jpeg.encodeSync(); // Buffer
var app = require('express')();
var http = require('http').Server(app);
var io = require('socket.io')(http);
var cam = require('linuxcam');
var Jpeg = require('jpeg-fresh').Jpeg;
cam.start("/dev/video0", 320, 240);
function update(socket) {
var frame = cam.frame();
var jpeg = new Jpeg(frame.data, frame.width, frame.height, 'rgb');
var jpeg_frame = jpeg.encodeSync();
socket.emit("frame", jpeg_frame.toString('base64'));
setTimeout(function() {
update(socket);
}, 40);
}
io.on('connection', function(socket){
socket.on('error', function(err){
console.log("ERROR: "+err);
});
update(socket);
});
http.listen(9639, function(){
console.log('listening on *:9639');
});
<!DOCTYPE html>
<html>
<head>
<script src="https://cdn.socket.io/socket.io-1.3.5.js"></script>
<head>
<body>
<canvas id="canvas" width="320" height="240"></canvas>
<script>
socket = io("http://localhost:9639");
var canvas = document.getElementById("canvas");
var ctx = canvas.getContext("2d");
var image = new Image();
image.onload = function() {
ctx.drawImage(image, 0, 0, 320, 240);
};
socket.on('frame', function (frame) {
image.src = "data:image/jpeg;base64," + frame;
});
</script>
</body>
</html>
FAQs
Capturing images from webcam and converting to rgb24. Linux only (v4l2)
The npm package linuxcam receives a total of 3 weekly downloads. As such, linuxcam popularity was classified as not popular.
We found that linuxcam demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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