Node.js 如何使用node js通过ffmpeg从上传的视频中提取帧?
我已经创建了一个应用程序,用户在其中上传一个视频,我想在nodejs中使用ffmpeg提取50个图像,但在上传到特定文件夹后,我无法获取该文件。我通过multer上传视频,因为它将视频存储在指定的文件夹中,之后我使用read stream读取该视频,但它没有提供关于该特定视频的正确信息 代码: 如果您正在使用,只需稍加调整即可使用fnExtractFrameToJPG函数:Node.js 如何使用node js通过ffmpeg从上传的视频中提取帧?,node.js,ffmpeg,extract,frames,Node.js,Ffmpeg,Extract,Frames,我已经创建了一个应用程序,用户在其中上传一个视频,我想在nodejs中使用ffmpeg提取50个图像,但在上传到特定文件夹后,我无法获取该文件。我通过multer上传视频,因为它将视频存储在指定的文件夹中,之后我使用read stream读取该视频,但它没有提供关于该特定视频的正确信息 代码: 如果您正在使用,只需稍加调整即可使用fnExtractFrameToJPG函数: 试试看{ var进程=新的ffmpeg(文件); 处理。然后(功能(视频){ video.fnExtractFrameTo
试试看{
var进程=新的ffmpeg(文件);
处理。然后(功能(视频){
video.fnExtractFrameToJPG(“this/is/a/directory”{
每帧:1
},myCallbackFunction())
},函数(err){
log('Error:'+err);
});
}捕获(e){
控制台日志(e.code);
console.log(e.msg);
}
every_n_frames参数用于选择要提取帧的帧间隔。文档中还提供了一些其他参数。愚蠢的错误是“;”,我忘了保存它,所以它在无限循环中运行
var express = require('express');
var app = express();
var bodyParser = require('body-parser');
var path = require('path');
var multer = require('multer');
var cfenv = require('cfenv');
var watson = require('watson-developer-cloud');
var ffmpeg = require('ffmpeg');
var stat = require('fs').statSync;
var zipFolder = require('zip-folder');
app.use(bodyParser.json());
app.use(bodyParser.urlencoded({"extended": false}));
app.use(express.static(__dirname + '/public'));
var storage = multer.diskStorage({
destination: function(req, file, callback){
callback(null, './public/class/'); // set the destination
},
filename: function(req, file, callback){
callback(null,'NotUseful.mp4'); // set the file name and extension
}
});
var upload = multer({storage: storage});
app.upload = upload;
// get the app environment from Cloud Foundry
var appEnv = cfenv.getAppEnv();
var VisualRecognitionV3 = require('watson-developer-cloud/visual-recognition/v3');
var fs = require('fs');
var visualRecognition = new VisualRecognitionV3({
version: '2018-03-19',
iam_apikey: 'aaIFu-fHWBXgj09eVarEQUFlIaTeH9bpgvRqHIJxu_8N'
});
function tosplit(request)
{
var value = request;
valueArray = value.split("\\");
return valueArray;
}
function extsplit(request)
{
var value = request;
nameArray = value.split('.');
return nameArray;
}
function makeZip(pathname,zipname){
zipFolder(pathname,zipname, function(err) {
if(err) {
console.log('oh no!', err);
} else {
console.log('Zip Created...');
}
});
}
app.post('/upload',app.upload.single('video-upl'),function(req,res){
var video_file = fs.createReadStream(req.file.path); // Storing File path
var video_String = JSON.stringify(video_file); // Converting Json into String of req.file.path
var video_res = JSON.parse(video_String); // Parsing req.file.path
var valueArray = tosplit(video_res.path); //Splitting Path in values
var filenme = req.file.originalname; // Requesting Original File name
var filnameStringify = JSON.stringify(filenme); //Stringify file original name
var filnameParse = JSON.parse(filnameStringify); //Parsing file Original name
var filename = extsplit(filnameParse); // Spliting File name from path
var finalpath = './public/class/'+valueArray[2]; // Path to Video for Extracting Images
var destpath = './public/class/'+filename[0]+'/'; //Destinaton Path to Store Images
var zipdest = './public/class/'+filename[0]; //Destination of File to be Zip
var articleid = extsplit(valueArray[2]); //For ArticleId through Video Name
try {
var process = new ffmpeg(finalpath);
process.then(function (video) {
// Callback mode
video.fnExtractFrameToJPG(destpath, {
frame_rate: 1,
number: 50,
keep_pixel_aspect_ratio : true,
keep_aspect_ratio: true,
file_name : filename[0]+'_%s'
}, function (error,files){
if(!error)
{
var fileJsonStr = JSON.stringify(files);
makeZip(zipdest,'./public/class/'+filename[0]+'.zip');
console.log(res);
res.send(fileJsonStr).responseJSON;
}
});
}, function (err) {
console.log('Error: ' + err);
});
}
catch (e) {
console.log(e.code);
console.log(e.msg);
}
});
app.listen(3000);
这是一段代码片段,我用它以1分钟30秒的速度提取了一帧视频。希望有帮助:)
碰到这个。有同样的情况。你找到解决方案了吗?是的,我会在这里发布解决方案,谢谢
var express = require('express');
var app = express();
var bodyParser = require('body-parser');
var path = require('path');
var multer = require('multer');
var cfenv = require('cfenv');
var watson = require('watson-developer-cloud');
var ffmpeg = require('ffmpeg');
var stat = require('fs').statSync;
var zipFolder = require('zip-folder');
app.use(bodyParser.json());
app.use(bodyParser.urlencoded({"extended": false}));
app.use(express.static(__dirname + '/public'));
var storage = multer.diskStorage({
destination: function(req, file, callback){
callback(null, './public/class/'); // set the destination
},
filename: function(req, file, callback){
callback(null,'NotUseful.mp4'); // set the file name and extension
}
});
var upload = multer({storage: storage});
app.upload = upload;
// get the app environment from Cloud Foundry
var appEnv = cfenv.getAppEnv();
var VisualRecognitionV3 = require('watson-developer-cloud/visual-recognition/v3');
var fs = require('fs');
var visualRecognition = new VisualRecognitionV3({
version: '2018-03-19',
iam_apikey: 'aaIFu-fHWBXgj09eVarEQUFlIaTeH9bpgvRqHIJxu_8N'
});
function tosplit(request)
{
var value = request;
valueArray = value.split("\\");
return valueArray;
}
function extsplit(request)
{
var value = request;
nameArray = value.split('.');
return nameArray;
}
function makeZip(pathname,zipname){
zipFolder(pathname,zipname, function(err) {
if(err) {
console.log('oh no!', err);
} else {
console.log('Zip Created...');
}
});
}
app.post('/upload',app.upload.single('video-upl'),function(req,res){
var video_file = fs.createReadStream(req.file.path); // Storing File path
var video_String = JSON.stringify(video_file); // Converting Json into String of req.file.path
var video_res = JSON.parse(video_String); // Parsing req.file.path
var valueArray = tosplit(video_res.path); //Splitting Path in values
var filenme = req.file.originalname; // Requesting Original File name
var filnameStringify = JSON.stringify(filenme); //Stringify file original name
var filnameParse = JSON.parse(filnameStringify); //Parsing file Original name
var filename = extsplit(filnameParse); // Spliting File name from path
var finalpath = './public/class/'+valueArray[2]; // Path to Video for Extracting Images
var destpath = './public/class/'+filename[0]+'/'; //Destinaton Path to Store Images
var zipdest = './public/class/'+filename[0]; //Destination of File to be Zip
var articleid = extsplit(valueArray[2]); //For ArticleId through Video Name
try {
var process = new ffmpeg(finalpath);
process.then(function (video) {
// Callback mode
video.fnExtractFrameToJPG(destpath, {
frame_rate: 1,
number: 50,
keep_pixel_aspect_ratio : true,
keep_aspect_ratio: true,
file_name : filename[0]+'_%s'
}, function (error,files){
if(!error)
{
var fileJsonStr = JSON.stringify(files);
makeZip(zipdest,'./public/class/'+filename[0]+'.zip');
console.log(res);
res.send(fileJsonStr).responseJSON;
}
});
}, function (err) {
console.log('Error: ' + err);
});
}
catch (e) {
console.log(e.code);
console.log(e.msg);
}
});
app.listen(3000);
var ffmpeg = require('ffmpeg');
try {
var process = new ffmpeg('./video.mp4');
process.then(function (video) {
video.addCommand('-ss', '00:01:30')
video.addCommand('-vframes', '1')
video.save('./test.jpg', function (error, file) {
if (!error)
console.log('Video file: ' + file);
});
}, function (err) {
console.log('Error: ' + err);
});
} catch (e) {
console.log(e.code);
console.log(e.msg);
}