这篇文章主要给大家介绍了关于java实现监控rtsp流转flv的相关资料,文中介绍的是前端播放,前后端代码都有,文中通过实例代码介绍的非常详细,需要的朋友可以参考下
import com.xr.web.rtspconverterflvspringbootstarter.service.IFLVService;
import io.swagger.annotations.Api;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
* FLV流转换
* @author gc.x
@Api(tags = "flv")
@RequestMapping("/flv")
@RestController
public class FLVController {
@Autowired
private IFLVService service;
@GetMapping()
public void open4(HttpServletResponse response,
HttpServletRequest request) {
String test = "rtsp://admin:sdxr@2022@192.168.0.205:554";
service.open(test, response, request);
config层:
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.TaskScheduler;
import org.springframework.scheduling.annotation.EnableScheduling;
import org.springframework.scheduling.concurrent.ThreadPoolTaskScheduler;
* 使用多线程执行定时任务
* @author gc.x
@Configuration
@EnableScheduling
public class SchedulerConfig {
@Bean
public TaskScheduler taskScheduler() {
ThreadPoolTaskScheduler scheduler = new ThreadPoolTaskScheduler();
// 线程池大小
scheduler.setPoolSize(3);
// 线程名字前缀
scheduler.setThreadNamePrefix("task-thread-");
return scheduler;
factories层:
* 转换器状态(初始化、打开、关闭、错误、运行)
* @author gc.x
public enum ConverterState {
INITIAL, OPEN, CLOSE, ERROR, RUN
import javax.servlet.AsyncContext;
import java.io.IOException;
public interface Converter {
* 获取该转换的key
public String getKey();
* 获取该转换的url
* @return
public String getUrl();
* 添加一个流输出
* @param entity
public void addOutputStreamEntity(String key, AsyncContext entity) throws IOException;
* 退出转换
public void exit();
public void start();
import com.alibaba.fastjson.util.IOUtils;
import lombok.extern.slf4j.Slf4j;
import org.bytedeco.ffmpeg.avcodec.AVPacket;
import org.bytedeco.ffmpeg.global.avcodec;
import org.bytedeco.javacv.FFmpegFrameGrabber;
import org.bytedeco.javacv.FFmpegFrameRecorder;
import javax.servlet.AsyncContext;
import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
* javacv转包装<br/>
* 无须转码,更低的资源消耗,更低的延迟<br/>
* 确保流来源视频H264格式,音频AAC格式
* @author gc.x
@Slf4j
public class ConverterFactories extends Thread implements Converter {
public volatile boolean runing = true;
* 读流器
private FFmpegFrameGrabber grabber;
* 转码器
private FFmpegFrameRecorder recorder;
* 转FLV格式的头信息<br/>
* 如果有第二个客户端播放首先要返回头信息
private byte[] headers;
* 保存转换好的流
private ByteArrayOutputStream stream;
* 流地址,h264,aac
private String url;
* 流输出
private List<AsyncContext> outEntitys;
* key用于表示这个转换器
private String key;
* 转换队列
private Map<String, Converter> factories;
public ConverterFactories(String url, String key, Map<String, Converter> factories, List<AsyncContext> outEntitys) {
this.url = url;
this.key = key;
this.factories = factories;
this.outEntitys = outEntitys;
@Override
public void run() {
boolean isCloseGrabberAndResponse = true;
try {
grabber = new FFmpegFrameGrabber(url);
if ("rtsp".equals(url.substring(0, 4))) {
grabber.setOption("rtsp_transport", "tcp");
grabber.setOption("stimeout", "5000000");
grabber.start();
if (avcodec.AV_CODEC_ID_H264 == grabber.getVideoCodec()
&& (grabber.getAudioChannels() == 0 || avcodec.AV_CODEC_ID_AAC == grabber.getAudioCodec())) {
log.info("this url:{} converterFactories start", url);
// 来源视频H264格式,音频AAC格式
// 无须转码,更低的资源消耗,更低的延迟
stream = new ByteArrayOutputStream();
recorder = new FFmpegFrameRecorder(stream, grabber.getImageWidth(), grabber.getImageHeight(),
grabber.getAudioChannels());
recorder.setInterleaved(true);
recorder.setVideoOption("preset", "ultrafast");
recorder.setVideoOption("tune", "zerolatency");
recorder.setVideoOption("crf", "25");
recorder.setFrameRate(grabber.getFrameRate());
recorder.setSampleRate(grabber.getSampleRate());
if (grabber.getAudioChannels() > 0) {
recorder.setAudioChannels(grabber.getAudioChannels());
recorder.setAudioBitrate(grabber.getAudioBitrate());
recorder.setAudioCodec(grabber.getAudioCodec());
recorder.setFormat("flv");
recorder.setVideoBitrate(grabber.getVideoBitrate());
recorder.setVideoCodec(grabber.getVideoCodec());
recorder.start(grabber.getFormatContext());
if (headers == null) {
headers = stream.toByteArray();
stream.reset();
writeResponse(headers);
int nullNumber = 0;
while (runing) {
AVPacket k = grabber.grabPacket();
if (k != null) {
try {
recorder.recordPacket(k);
} catch (Exception e) {
if (stream.size() > 0) {
byte[] b = stream.toByteArray();
stream.reset();
writeResponse(b);
if (outEntitys.isEmpty()) {
log.info("没有输出退出");
break;
avcodec.av_packet_unref(k);
} else {
nullNumber++;
if (nullNumber > 200) {
break;
Thread.sleep(5);
} else {
isCloseGrabberAndResponse = false;
// 需要转码为视频H264格式,音频AAC格式
ConverterTranFactories c = new ConverterTranFactories(url, key, factories, outEntitys, grabber);
factories.put(key, c);
c.start();
} catch (Exception e) {
log.error(e.getMessage(), e);
} finally {
closeConverter(isCloseGrabberAndResponse);
completeResponse(isCloseGrabberAndResponse);
log.info("this url:{} converterFactories exit", url);
* 输出FLV视频流
* @param b
public void writeResponse(byte[] b) {
Iterator<AsyncContext> it = outEntitys.iterator();
while (it.hasNext()) {
AsyncContext o = it.next();
try {
o.getResponse().getOutputStream().write(b);
} catch (Exception e) {
log.info("移除一个输出");
it.remove();
* 退出转换
public void closeConverter(boolean isCloseGrabberAndResponse) {
if (isCloseGrabberAndResponse) {
IOUtils.close(grabber);
factories.remove(this.key);
IOUtils.close(recorder);
IOUtils.close(stream);
* 关闭异步响应
* @param isCloseGrabberAndResponse
public void completeResponse(boolean isCloseGrabberAndResponse) {
if (isCloseGrabberAndResponse) {
Iterator<AsyncContext> it = outEntitys.iterator();
while (it.hasNext()) {
AsyncContext o = it.next();
o.complete();
@Override
public String getKey() {
return this.key;
@Override
public String getUrl() {
return this.url;
@Override
public void addOutputStreamEntity(String key, AsyncContext entity) throws IOException {
if (headers == null) {
outEntitys.add(entity);
} else {
entity.getResponse().getOutputStream().write(headers);
entity.getResponse().getOutputStream().flush();
outEntitys.add(entity);
@Override
public void exit() {
this.runing = false;
try {
this.join();
} catch (Exception e) {
log.error(e.getMessage(), e);
import com.alibaba.fastjson.util.IOUtils;
import lombok.extern.slf4j.Slf4j;
import org.bytedeco.ffmpeg.global.avcodec;
import org.bytedeco.javacv.FFmpegFrameGrabber;
import org.bytedeco.javacv.FFmpegFrameRecorder;
import org.bytedeco.javacv.Frame;
import javax.servlet.AsyncContext;
import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
* javacv转码<br/>
* 流来源不是视频H264格式,音频AAC格式 转码为视频H264格式,音频AAC格式
* @author gc.x
@Slf4j
public class ConverterTranFactories extends Thread implements Converter {
public volatile boolean runing = true;
* 读流器
private FFmpegFrameGrabber grabber;
* 转码器
private FFmpegFrameRecorder recorder;
* 转FLV格式的头信息<br/>
* 如果有第二个客户端播放首先要返回头信息
private byte[] headers;
* 保存转换好的流
private ByteArrayOutputStream stream;
* 流地址,h264,aac
private String url;
* 流输出
private List<AsyncContext> outEntitys;
* key用于表示这个转换器
private String key;
* 转换队列
private Map<String, Converter> factories;
public ConverterTranFactories(String url, String key, Map<String, Converter> factories,
List<AsyncContext> outEntitys, FFmpegFrameGrabber grabber) {
this.url = url;
this.key = key;
this.factories = factories;
this.outEntitys = outEntitys;
this.grabber = grabber;
@Override
public void run() {
try {
log.info("this url:{} converterTranFactories start", url);
grabber.setFrameRate(25);
if (grabber.getImageWidth() > 1920) {
grabber.setImageWidth(1920);
if (grabber.getImageHeight() > 1080) {
grabber.setImageHeight(1080);
stream = new ByteArrayOutputStream();
recorder = new FFmpegFrameRecorder(stream, grabber.getImageWidth(), grabber.getImageHeight(),
grabber.getAudioChannels());
recorder.setInterleaved(true);
recorder.setVideoOption("preset", "ultrafast");
recorder.setVideoOption("tune", "zerolatency");
recorder.setVideoOption("crf", "25");
recorder.setGopSize(50);
recorder.setFrameRate(25);
recorder.setSampleRate(grabber.getSampleRate());
if (grabber.getAudioChannels() > 0) {
recorder.setAudioChannels(grabber.getAudioChannels());
recorder.setAudioBitrate(grabber.getAudioBitrate());
recorder.setAudioCodec(avcodec.AV_CODEC_ID_AAC);
recorder.setFormat("flv");
recorder.setVideoBitrate(grabber.getVideoBitrate());
recorder.setVideoCodec(avcodec.AV_CODEC_ID_H264);
recorder.start();
if (headers == null) {
headers = stream.toByteArray();
stream.reset();
writeResponse(headers);
int nullNumber = 0;
while (runing) {
// 抓取一帧
Frame f = grabber.grab();
if (f != null) {
try {
// 转码
recorder.record(f);
} catch (Exception e) {
if (stream.size() > 0) {
byte[] b = stream.toByteArray();
stream.reset();
writeResponse(b);
if (outEntitys.isEmpty()) {
log.info("没有输出退出");
break;
} else {
nullNumber++;
if (nullNumber > 200) {
break;
Thread.sleep(5);
} catch (Exception e) {
log.error(e.getMessage(), e);
} finally {
closeConverter();
completeResponse();
log.info("this url:{} converterTranFactories exit", url);
factories.remove(this.key);
* 输出FLV视频流
* @param b
public void writeResponse(byte[] b) {
Iterator<AsyncContext> it = outEntitys.iterator();
while (it.hasNext()) {
AsyncContext o = it.next();
try {
o.getResponse().getOutputStream().write(b);
} catch (Exception e) {
log.info("移除一个输出");
it.remove();
* 退出转换
public void closeConverter() {
IOUtils.close(grabber);
IOUtils.close(recorder);
IOUtils.close(stream);
* 关闭异步响应
public void completeResponse() {
Iterator<AsyncContext> it = outEntitys.iterator();
while (it.hasNext()) {
AsyncContext o = it.next();
o.complete();
@Override
public String getKey() {
return this.key;
@Override
public String getUrl() {
return this.url;
@Override
public void addOutputStreamEntity(String key, AsyncContext entity) throws IOException {
if (headers == null) {
outEntitys.add(entity);
} else {
entity.getResponse().getOutputStream().write(headers);
entity.getResponse().getOutputStream().flush();
outEntitys.add(entity);
@Override
public void exit() {
this.runing = false;
try {
this.join();
} catch (Exception e) {
log.error(e.getMessage(), e);
result层:
import com.alibaba.fastjson.JSONObject;
import java.io.Serializable;
import java.util.HashMap;
* 封装返回结果
public class JsonResult extends HashMap<String, Object> implements Serializable {
private static final long serialVersionUID = 1L;
public static final int SUCCESS = 200;
public JsonResult() {
* 返回成功
public static JsonResult ok() {
return ok("操作成功");
* 返回成功
public static JsonResult okFallBack() {
return okFallBack("操作成功");
* 返回成功
public JsonResult put(Object obj) {
return this.put("data", obj);
* 返回成功
public static JsonResult ok(String message) {
return result(200, message);
* 降级函数 - 返回成功
public static JsonResult okFallBack(String message) {
return result(205, message);
* 返回成功
public static JsonResult result(int code, String message) {
JsonResult jsonResult = new JsonResult();
jsonResult.put("timestamp", System.currentTimeMillis());
jsonResult.put("status", code);
jsonResult.put("message", message);
return jsonResult;
* 返回失败
public static JsonResult error() {
return error("操作失败");
* 返回失败
public static JsonResult error(String message) {
return error(500, message);
* 返回失败
public static JsonResult error(int code, String message) {
JsonResult jsonResult = new JsonResult();
jsonResult.put("timestamp", System.currentTimeMillis());
jsonResult.put("status", code);
jsonResult.put("message", message);
return jsonResult;
* 设置code
public JsonResult setCode(int code) {
super.put("status", code);
return this;
* 设置message
public JsonResult setMessage(String message) {
super.put("message", message);
return this;
* 放入object
@Override
public JsonResult put(String key, Object object) {
super.put(key, object);
return this;
* 权限禁止
public static JsonResult forbidden(String message) {
JsonResult jsonResult = new JsonResult();
jsonResult.put("timestamp", System.currentTimeMillis());
jsonResult.put("status", 401);
jsonResult.put("message", message);
return jsonResult;
@Override
public String toString() {
return JSONObject.toJSONString(this);
public JSONObject toJSONObject() {
return JSONObject.parseObject(toString());
service层:
import com.alibaba.fastjson.JSONObject;
import java.io.Serializable;
import java.util.HashMap;
* 封装返回结果
public class JsonResult extends HashMap<String, Object> implements Serializable {
private static final long serialVersionUID = 1L;
public static final int SUCCESS = 200;
public JsonResult() {
* 返回成功
public static JsonResult ok() {
return ok("操作成功");
* 返回成功
public static JsonResult okFallBack() {
return okFallBack("操作成功");
* 返回成功
public JsonResult put(Object obj) {
return this.put("data", obj);
* 返回成功
public static JsonResult ok(String message) {
return result(200, message);
* 降级函数 - 返回成功
public static JsonResult okFallBack(String message) {
return result(205, message);
* 返回成功
public static JsonResult result(int code, String message) {
JsonResult jsonResult = new JsonResult();
jsonResult.put("timestamp", System.currentTimeMillis());
jsonResult.put("status", code);
jsonResult.put("message", message);
return jsonResult;
* 返回失败
public static JsonResult error() {
return error("操作失败");
* 返回失败
public static JsonResult error(String message) {
return error(500, message);
* 返回失败
public static JsonResult error(int code, String message) {
JsonResult jsonResult = new JsonResult();
jsonResult.put("timestamp", System.currentTimeMillis());
jsonResult.put("status", code);
jsonResult.put("message", message);
return jsonResult;
* 设置code
public JsonResult setCode(int code) {
super.put("status", code);
return this;
* 设置message
public JsonResult setMessage(String message) {
super.put("message", message);
return this;
* 放入object
@Override
public JsonResult put(String key, Object object) {
super.put(key, object);
return this;
* 权限禁止
public static JsonResult forbidden(String message) {
JsonResult jsonResult = new JsonResult();
jsonResult.put("timestamp", System.currentTimeMillis());
jsonResult.put("status", 401);
jsonResult.put("message", message);
return jsonResult;
@Override
public String toString() {
return JSONObject.toJSONString(this);
public JSONObject toJSONObject() {
return JSONObject.parseObject(toString());
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
public interface IFLVService {
* 打开一个流地址
* @param url
* @param response
public void open(String url, HttpServletResponse response, HttpServletRequest request);
二.客户端代码基于flv.js进行播放
<!-- @format -->
<!DOCTYPE html>
<html lang="en">
<meta charset="UTF-8" />
<meta http-equiv="X-UA-Compatible" content="IE=edge" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Document</title>
</head>
<script src="flv.min.js"></script>
<video id="videoElement"></video>
<button onclick="playflv()">点击播放</button>
<script>
if (flvjs.isSupported()) {
var videoElement = document.getElementById('videoElement');
var flvPlayer = flvjs.createPlayer({
type: 'flv',
url: 'http://127.0.0.1:10010/xr/flv',
flvPlayer.attachMediaElement(videoElement);
flvPlayer.load();
//自动播放,浏览器不支持
function playflv() {
flvPlayer.play();
</script>
</body>
</html>
这里因为浏览器把自动播放给禁止了,加了个按钮点击事件
https://www.bootcdn.cn/
引入的flv.js文件在如下网站下载即可:
到此这篇关于java实现监控rtsp流转flv的文章就介绍到这了,更多相关java监控rtsp流转flv内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!
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