写一个deepstream c++版本推流代码
时间: 2023-09-06 22:05:10 浏览: 315
### 回答1:
以下是使用DeepStream SDK C版本推流的示例代码。在这个示例中,我们将从网络摄像头读取视频流,进行推流并在控制台输出日志。请注意,这个示例假设你已经配置好了DeepStream SDK,包括安装必要的库和设置环境变量。
```c
#include <gst/gst.h>
#include <glib.h>
static GMainLoop *loop;
static gboolean
bus_call(GstBus *bus, GstMessage *msg, gpointer data)
{
GMainLoop *loop = (GMainLoop *) data;
switch (GST_MESSAGE_TYPE(msg)) {
case GST_MESSAGE_EOS:
g_print("End of stream\n");
g_main_loop_quit(loop);
break;
case GST_MESSAGE_ERROR: {
gchar *debug;
GError *error;
gst_message_parse_error(msg, &error, &debug);
g_free(debug);
g_printerr("Error: %s\n", error->message);
g_error_free(error);
g_main_loop_quit(loop);
break;
}
default:
break;
}
return TRUE;
}
int
main(int argc, char *argv[])
{
GstElement *pipeline, *source, *filter, *sink;
GstBus *bus;
GstCaps *caps;
guint bus_watch_id;
/* Initialize GStreamer */
gst_init(&argc, &argv);
loop = g_main_loop_new(NULL, FALSE);
/* Create elements */
source = gst_element_factory_make("v4l2src", "source");
filter = gst_element_factory_make("capsfilter", "filter");
sink = gst_element_factory_make("rtmpsink", "sink");
/* Create empty pipeline */
pipeline = gst_pipeline_new("test-pipeline");
if (!pipeline || !source || !filter || !sink) {
g_printerr("Not all elements could be created.\n");
return -1;
}
/* Build the pipeline */
gst_bin_add_many(GST_BIN(pipeline), source, filter, sink, NULL);
if (gst_element_link_many(source, filter, sink, NULL) != TRUE) {
g_printerr("Elements could not be linked.\n");
gst_object_unref(pipeline);
return -1;
}
/* Set source properties */
g_object_set(G_OBJECT(source), "device", "/dev/video0", NULL);
/* Set filter properties */
caps = gst_caps_new_simple("video/x-raw",
"format", G_TYPE_STRING, "YUY2",
"width", G_TYPE_INT, 640,
"height", G_TYPE_INT, 480,
"framerate", GST_TYPE_FRACTION, 30, 1,
NULL);
g_object_set(G_OBJECT(filter), "caps", caps, NULL);
gst_caps_unref(caps);
/* Set sink properties */
g_object_set(G_OBJECT(sink), "location", "rtmp://localhost/live/test", NULL);
/* Start playing */
gst_element_set_state(pipeline, GST_STATE_PLAYING);
/* Wait until error or EOS */
bus = gst_element_get_bus(pipeline);
bus_watch_id = gst_bus_add_watch(bus, bus_call, loop);
g_main_loop_run(loop);
/* Clean up */
gst_bus_remove_watch(bus, bus_watch_id);
gst_object_unref(bus);
gst_element_set_state(pipeline, GST_STATE_NULL);
gst_object_unref(pipeline);
g_main_loop_unref(loop);
return 0;
}
```
### 回答2:
DeepStream是NVIDIA开发的用于实时视频分析的框架,提供了用于推流的插件。下面是一个简单的DeepStream C版本推流代码示例:
```c
#include <stdio.h>
#include <gst/gst.h>
#include <gst/gstinfo.h>
#define WIDTH 1280
#define HEIGHT 720
#define FRAMERATE_N 30
#define FRAMERATE_D 1
static gboolean bus_call(GstBus *bus, GstMessage *msg, gpointer data) {
GMainLoop *loop = (GMainLoop *)data;
switch (GST_MESSAGE_TYPE(msg)) {
case GST_MESSAGE_EOS:
g_print("End of stream\n");
g_main_loop_quit(loop);
break;
case GST_MESSAGE_ERROR: {
gchar *debug;
GError *error;
gst_message_parse_error(msg, &error, &debug);
g_free(debug);
g_printerr("Error: %s\n", error->message);
g_error_free(error);
g_main_loop_quit(loop);
break;
}
default:
break;
}
return TRUE;
}
int main(int argc, char *argv[]) {
GMainLoop *loop;
GstElement *pipeline, *src, *streammux, *pgie, *nvvidconv, *nvosd, *enc, *rtppay, *sink;
GstCaps *caps;
GstBus *bus;
/* 初始化GStreamer */
gst_init(&argc, &argv);
loop = g_main_loop_new(NULL, FALSE);
/* 创建pipeline */
pipeline = gst_pipeline_new("pipeline");
/* 创建source element,用于读取视频源 */
src = gst_element_factory_make("v4l2src", "source");
g_object_set(G_OBJECT(src), "device", "/dev/video0", NULL);
/* 创建streammux element,用于合并多个流成一个 */
streammux = gst_element_factory_make("nvstreammux", "stream-muxer");
g_object_set(G_OBJECT(streammux), "width", WIDTH, "height", HEIGHT, NULL);
g_object_set(G_OBJECT(streammux), "live-source", 1, NULL);
/* 创建pgie element,用于深度学习物体检测 */
pgie = gst_element_factory_make("nvinfer", "primary-inference");
g_object_set(G_OBJECT(pgie), "config-file-path", "pgie_config.txt", NULL);
/* 创建nvvidconv element,用于格式转换 */
nvvidconv = gst_element_factory_make("nvvideoconvert", "nvvideo-converter");
/* 创建nvosd element,用于添加物体检测结果的标记 */
nvosd = gst_element_factory_make("nvdsosd", "nv-onscreendisplay");
/* 创建encoder element,用于编码 */
enc = gst_element_factory_make("nvv4l2h264enc", "encoder");
/* 创建rtppay element,用于封装为RTP包 */
rtppay = gst_element_factory_make("rtph264pay", "rtppay");
/* 创建sink element,用于推流 */
sink = gst_element_factory_make("udpsink", "sink");
g_object_set(G_OBJECT(sink), "host", "127.0.0.1", "port", 5000, NULL);
if (!pipeline || !src || !streammux || !pgie || !nvvidconv || !nvosd || !enc || !rtppay || !sink) {
g_error("Failed to create elements");
return -1;
}
/* 将所有元素添加到pipeline中 */
gst_bin_add_many(GST_BIN(pipeline), src, streammux, pgie, nvvidconv, nvosd, enc, rtppay, sink, NULL);
/* 链接元素 */
gst_element_link(src, streammux);
gst_element_link(streammux, pgie);
gst_element_link(pgie, nvvidconv);
gst_element_link(nvvidconv, nvosd);
gst_element_link(nvosd, enc);
gst_element_link(enc, rtppay);
gst_element_link(rtppay, sink);
/* 设置输入视频格式 */
caps = gst_caps_new_simple("video/x-raw",
"format", G_TYPE_STRING, "I420",
"width", G_TYPE_INT, WIDTH,
"height", G_TYPE_INT, HEIGHT,
"framerate", GST_TYPE_FRACTION, FRAMERATE_N, FRAMERATE_D,
NULL);
g_object_set(G_OBJECT(src), "caps", caps, NULL);
gst_caps_unref(caps);
/* 设置bus,用于处理消息 */
bus = gst_pipeline_get_bus(GST_PIPELINE(pipeline));
gst_bus_add_watch(bus, bus_call, loop);
/* 启动pipeline */
gst_element_set_state(pipeline, GST_STATE_PLAYING);
/* 进入主循环 */
g_main_loop_run(loop);
/* 停止pipeline */
gst_element_set_state(pipeline, GST_STATE_NULL);
/* 释放资源 */
gst_object_unref(GST_OBJECT(pipeline));
g_main_loop_unref(loop);
return 0;
}
```
这个代码使用GStreamer框架创建了一个DeepStream的pipeline,读取了摄像头的视频流,并对视频进行了物体检测和编码后推流。请注意,这只是一个简单的示例代码,实际情况下可能需要根据具体需求进行调整和扩展。
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