https://blog.csdn.net/jiexijihe945/article/details/125928135
RTSP:
"rtspsrc location=rtsp://stream.strba.sk:1935/strba/VYHLAD_JAZERO.stream latency=4000 ! rtph264depay ! h264parse ! omxh264dec ! nvvidconv ! video/x-raw, width=1280, height=720, format=BGRx ! videoconvert ! appsink"
本地MP4:
"filesrc location=clip.mp4 ! qtdemux ! h264parse ! omxh264dec ! nvvidconv ! appsink"
USB摄像头:
"v4l2src device=/dev/video0 ! video/x-raw, width=1280, height=720 ! videoconvert ! appsink"
可以提前用 gst-launch-1.0 测试上面的pipeline是否有问题,例如测试 rtsp
gst-launch-1.0 rtspsrc location=rtsp://stream.strba.sk:1935/strba/VYHLAD_JAZERO.stream latency=4000 ! rtph264depay ! h264parse ! omxh264dec ! nvvidconv ! video/x-raw, width=1280, height=720, format=BGRx ! videoconvert ! appsink
c++ / opencv / gstreamer
#include
#include
#include
void startCamera() {
cv::VideoCapture cap;
cap.open("clip.mp4");
while (true) {
cv::Mat frame;
//方法一:>>析取器
cap >> frame; //每个循环从cap中解析一帧,赋给frame,
if (frame.empty()) {
break;
}
//cv::imshow("frame", frame);
//cv::waitKey(1);
std::cout<<"frame :"<>析取器
cap >> frame; //每个循环从cap中解析一帧,赋给frame,
if (frame.empty()) {
break;
}
//cv::imshow("frame", frame);
//cv::waitKey(1);
std::cout<<"frame :"<>析取器
capture >> frame; //每个循环从cap中解析一帧,赋给frame,
if (frame.empty()) {
break;
}
//cv::imshow("frame", frame);
//cv::waitKey(1);
std::cout<<"frame :"< 1){
// gst_src = argv[1];
// }
// startGStream(gst_src);
std::string file_src = "rtsp://stream.strba.sk:1935/strba/VYHLAD_JAZERO.stream";
int width = 1280;
int height = 720;
int latency = 5000;
if (argc > 4){
file_src = argv[1];
width = atoi(argv[2]);
height = atoi(argv[3]);
latency = atoi(argv[4]);
}
startGStream(file_src, width, height, latency);
std::cout<<"finished."<
cmake_minimum_required(VERSION 2.6)
project(decoder_test)
add_definitions(-std=c++11)
option(CUDA_USE_STATIC_CUDA_RUNTIME OFF)
set(CMAKE_CXX_STANDARD 11)
set(CMAKE_BUILD_TYPE Release)
find_package(CUDA REQUIRED)
# if (CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64")
# message("embed_platform on")
# include_directories(/usr/local/cuda/targets/aarch64-linux/include)
# link_directories(/usr/local/cuda/targets/aarch64-linux/lib)
# else()
# message("embed_platform off")
# include_directories(/usr/local/cuda/include)
# link_directories(/usr/local/cuda/lib64)
# # tensorrt
# include_directories(/usr/local/TensorRT-7.0.0.11/include)
# link_directories(/usr/local/TensorRT-7.0.0.11/lib)
# endif()
find_package(OpenCV)
include_directories(${OpenCV_INCLUDE_DIRS})
add_executable(decoder_test ${PROJECT_SOURCE_DIR}/main.cpp)
target_link_libraries(decoder_test ${OpenCV_LIBS})
add_definitions(-O3 -Wall -pthread)