我想通过 OpenCv 打开视频流，并在 DeepStream 管道内逐帧推送，以使用 tesornRT 对 Yolov3 模型进行推理，但我不知道如何使其工作。
我正在尝试遵循我在here找到的指令，但仍然没有任何结果...
这是我的代码：
#include <gst/gst.h>
#include <gst/app/gstappsrc.h>
#include <gst/app/gstappsink.h>
#include <opencv2/core/core.hpp>
#include <opencv2/core/types_c.h>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
static GMainLoop *loop;
static void
cb_need_data (GstElement *appsrc,
guint unused_size,
gpointer user_data)
{
static gboolean white = FALSE;
static GstClockTime timestamp = 0;
guint size,depth,height,width,step,channels;
GstFlowReturn ret ;
IplImage* img;
guchar *data1;
GstMapInfo map;
cv::Mat imgMat = imread("cat.jpg",cv::IMREAD_COLOR);
cvtColor(imgMat,imgMat,cv::COLOR_BGR2YUV);
IplImage imgIpl = imgMat;
img = &imgIpl;
height = img->height;
width = img->width;
step = img->widthStep;
channels = img->nChannels;
depth = img->depth;
data1 = (guchar *)img->imageData;
size = height*width*channels;
GstBuffer *buffer = NULL;//gst_buffer_new_allocate (NULL, size, NULL);
g_print("frame_height: %d \n",img->height);
g_print("frame_width: %d \n",img->width);
g_print("frame_channels: %d \n",img->nChannels);
g_print("frame_size: %d \n",height*width*channels);
buffer = gst_buffer_new_allocate (NULL, size, NULL);
gst_buffer_map (buffer, &map, GST_MAP_WRITE);
memcpy( (guchar *)map.data, data1, gst_buffer_get_size( buffer ) );
/* this makes the image black/white */
//gst_buffer_memset (buffer, 0, white ? 0xff : 0x0, size);
white = !white;
GST_BUFFER_PTS (buffer) = timestamp;
GST_BUFFER_DURATION (buffer) = gst_util_uint64_scale_int (1, GST_SECOND, 1);
timestamp += GST_BUFFER_DURATION (buffer);
//gst_app_src_push_buffer ((GstAppSrc *)appsrc, buffer);
g_signal_emit_by_name (appsrc, "push-buffer", buffer, &ret);
if (ret != GST_FLOW_OK) {
g_print("quit");
/* something wrong, stop pushing */
g_main_loop_quit (loop);
}
//g_print("return");
}
gint
main (gint argc,
gchar *argv[])
{
GstElement *pipeline, *appsrc, *conv, *videosink, *sink,*nvosd,*streammux;
/* init GStreamer */
gst_init (&argc, &argv);
loop = g_main_loop_new (NULL, FALSE);
/* setup pipeline */
pipeline = gst_pipeline_new ("pipeline");
appsrc = gst_element_factory_make ("appsrc", "source");
conv = gst_element_factory_make ("videoconvert", "conv");
streammux = gst_element_factory_make ("nvstreammux", "stream-muxer");
sink = gst_element_factory_make ("nveglglessink", "nvvideo-renderer");
//videosink = gst_element_factory_make("appsink","app-sink");
/* setup */
g_object_set (G_OBJECT (appsrc), "caps",
gst_caps_new_simple ("video/x-raw",
"format", G_TYPE_STRING, "RGB",
"width", G_TYPE_INT, 640,
"height", G_TYPE_INT, 360,
"framerate", GST_TYPE_FRACTION, 1, 1,
NULL), NULL);
gst_bin_add_many (GST_BIN (pipeline), appsrc, conv,streammux,sink,NULL);
gst_element_link_many (appsrc,conv,streammux,sink ,NULL);
//g_object_set (videosink, "device", "/dev/video0", NULL);
/* setup appsrc */
g_object_set (G_OBJECT (appsrc),
"stream-type", 0,
"format", GST_FORMAT_TIME, NULL);
g_signal_connect (appsrc, "need-data", G_CALLBACK (cb_need_data), NULL);
/* play */
gst_element_set_state (pipeline, GST_STATE_PLAYING);
g_main_loop_run (loop);
/* clean up */
gst_element_set_state (pipeline, GST_STATE_NULL);
gst_object_unref (GST_OBJECT (pipeline));
g_main_loop_unref (loop);
return 0;
}
我是一个绝对的初学者，如果有人可以展示一些代码会更好。
谢谢。
您需要按如下方式创建管道
appsrc ! nvvideoconvert ! nvstreammux ! nvinfer ! nvvideoconvert ! nvdsosd ! nveglglessink
appsrc 将您的框架作为输入
nvvideoconvert进行格式转换
nvstreammux 在多个源的情况下多路复用流
nvinfer 对输入流进行推理
nvvideoconvert 现在将帧转换为 RGBA
nvdsosd 在框架上绘制边界框
nveglglessink显示框架
#include <gst/gst.h>
#include <gst/app/gstappsrc.h>
#include <gst/app/gstappsink.h>
#include <opencv2/core/core.hpp>
#include <opencv2/core/types_c.h>
#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
static GMainLoop *loop;
#define APPSRC_WIDTH 320
#define APPSRC_HEIGHT 240
#define RUN_VIDEO 0
static void
cb_need_data (GstElement *appsrc,
guint unused_size,
gpointer user_data)
{
static gboolean white = FALSE;
static GstClockTime timestamp = 0;
guint size,depth,height,width,step,channels;
GstFlowReturn ret ;
IplImage* img;
guchar *data1;
GstMapInfo map;
cv::Mat imgMat = imread("/opt/nvidia/deepstream/deepstream/samples/streams/sample_720p.jpg",cv::IMREAD_COLOR);
cv::resize(imgMat, imgMat, cv::Size(APPSRC_WIDTH, APPSRC_HEIGHT));
cvtColor(imgMat,imgMat,cv::COLOR_BGR2RGBA);
IplImage imgIpl = cvIplImage(imgMat);
img = &imgIpl;
height = img->height;
width = img->width;
step = img->widthStep;
channels = img->nChannels;
depth = img->depth;
data1 = (guchar *)img->imageData;
size = height*width*channels;
GstBuffer *buffer = NULL;//gst_buffer_new_allocate (NULL, size, NULL);
g_print("frame_height: %d \n",img->height);
g_print("frame_width: %d \n",img->width);
g_print("frame_channels: %d \n",img->nChannels);
g_print("frame_size: %d \n",height*width*channels);
buffer = gst_buffer_new_allocate (NULL, size, NULL);
gst_buffer_map (buffer, &map, GST_MAP_WRITE);
memcpy( (guchar *)map.data, data1, gst_buffer_get_size( buffer ) );
/* this makes the image black/white */
//gst_buffer_memset (buffer, 0, white ? 0xff : 0x0, size);
white = !white;
GST_BUFFER_PTS (buffer) = timestamp;
GST_BUFFER_DURATION (buffer) = gst_util_uint64_scale_int (1, GST_SECOND, 1);
timestamp += GST_BUFFER_DURATION (buffer);
//gst_app_src_push_buffer ((GstAppSrc *)appsrc, buffer);
g_signal_emit_by_name (appsrc, "push-buffer", buffer, &ret);
if (ret != GST_FLOW_OK) {
g_print("quit");
/* something wrong, stop pushing */
g_main_loop_quit (loop);
}
//g_print("return");
}
gint
main (gint argc,
gchar *argv[])
{
GstElement *pipeline, *appsrc, *conv, *capsfilter_converter, *videosink,*streammux, *nvinfer, *nvconv, *nvosd,*sink;
GstElement *filesrc, *parser, *decoder;
GstCaps * scaler_caps = NULL, *convertCaps = NULL, *nvconvert_caps;
/* init GStreamer */
gst_init (&argc, &argv);
loop = g_main_loop_new (NULL, FALSE);
/* setup pipeline */
pipeline = gst_pipeline_new ("pipeline");
appsrc = gst_element_factory_make ("appsrc", "source");
filesrc = gst_element_factory_make ("filesrc", "file-source");
parser = gst_element_factory_make ("h264parse", "parser");
decoder = gst_element_factory_make ("nvv4l2decoder", "decoder");
conv = gst_element_factory_make ("nvvideoconvert", "nv-conv-1");
capsfilter_converter = gst_element_factory_make ("capsfilter", "converter-caps");
streammux = gst_element_factory_make ("nvstreammux", "stream-muxer");
nvinfer = gst_element_factory_make ("nvinfer", "nv-infer");
nvconv = gst_element_factory_make ("nvvideoconvert", "nv-conv-2");
nvosd = gst_element_factory_make ("nvdsosd", "nv-onscreendisplay");
sink = gst_element_factory_make ("nveglglessink", "nvvideo-renderer");
/* setup */
g_object_set (G_OBJECT (appsrc), "caps",
gst_caps_new_simple ("video/x-raw",
"format", G_TYPE_STRING, "RGBA",
"width", G_TYPE_INT, APPSRC_WIDTH,
"height", G_TYPE_INT, APPSRC_HEIGHT,
"framerate", GST_TYPE_FRACTION, 1, 1,
NULL), NULL);
capsfilter_converter = gst_element_factory_make ("capsfilter", "converter-caps");
nvconvert_caps = gst_caps_new_simple ("video/x-raw", "format", G_TYPE_STRING, "RGBA", NULL);
GstCapsFeatures *feature = NULL;
feature = gst_caps_features_new ("memory:NVMM", NULL);
gst_caps_set_features (nvconvert_caps, 0, feature);
g_object_set (G_OBJECT (capsfilter_converter), "caps", nvconvert_caps, NULL);
g_object_set (G_OBJECT (streammux), "width", APPSRC_WIDTH, "height",
APPSRC_HEIGHT, "batch-size", 1,
"batched-push-timeout", 5000, NULL);
g_object_set (G_OBJECT (conv),
"nvbuf-memory-type", 0,
"num-surfaces-per-frame", 1,
NULL);
g_object_set (G_OBJECT (streammux),
"nvbuf-memory-type", 0,
"num-surfaces-per-frame", 1,
NULL);
g_object_set (G_OBJECT (filesrc), "location",
"/opt/nvidia/deepstream/deepstream/samples/streams/sample_720p.h264", NULL);
std::string config_file_path_FR = "/opt/nvidia/deepstream/deepstream/samples/configs/deepstream-app/config_infer_primary.txt";
g_object_set (G_OBJECT (nvinfer),
"config-file-path", config_file_path_FR.c_str(), NULL);
#if RUN_VIDEO
gst_bin_add_many (GST_BIN (pipeline), filesrc, parser, decoder, conv,streammux, nvinfer, nvosd, nvconv, sink,NULL);
#else
gst_bin_add_many (GST_BIN (pipeline), appsrc, conv, capsfilter_converter, streammux, nvinfer, nvosd, nvconv, sink,NULL);
#endif
GstPad *sinkpad, *srcpad;
gchar pad_name[16] = { };
g_snprintf (pad_name, 15, "sink_%u", 0);
sinkpad = gst_element_get_request_pad (streammux, pad_name);
if (!sinkpad) {
g_printerr ("Streammux request sink pad failed. Exiting.\n");
return -1;
}
#if RUN_VIDEO
srcpad = gst_element_get_static_pad (decoder, "src");
#else
srcpad = gst_element_get_static_pad (capsfilter_converter, "src");
#endif
if (!srcpad) {
g_printerr ("Failed to get src pad of source bin. Exiting.\n");
return -1;
}
if (gst_pad_link (srcpad, sinkpad) != GST_PAD_LINK_OK) {
g_printerr ("Failed to link source bin to stream muxer. Exiting.\n");
return -1;
}
#if RUN_VIDEO
gst_element_link_many (filesrc, parser, decoder, NULL);
#else
gst_element_link_many (appsrc,conv, capsfilter_converter, NULL);
#endif
gst_element_link_many (streammux, nvinfer, nvconv, nvosd, sink ,NULL);
g_signal_connect (appsrc, "need-data", G_CALLBACK (cb_need_data), NULL);
/* play */
gst_element_set_state (pipeline, GST_STATE_PLAYING);
g_main_loop_run (loop);
/* clean up */
gst_element_set_state (pipeline, GST_STATE_NULL);
gst_object_unref (GST_OBJECT (pipeline));
g_main_loop_unref (loop);
return 0;
}
要为您的模型运行推理，您需要设置模型的配置文件路径，并设置要运行推理的图像/视频的路径。
要在视频 h264 编码的视频上运行此功能，只需将
#define RUN_VIDEO 0#define RUN_VIDEO 1