prabindh

Debugging with vscode and conda python:
- Install vs code
- Follow https://medium.com/analytics-vidhya/efficient-way-to-activate-conda-in-vscode-ef21c4c231f2 to add conda terminal to vs code via launch.json. Args have to be added like
"args": ["--aa=2", "--ab=1", "--sm", "--input=asd.img"]
				 
- Close vscode
-- open conda prompt, activate required environment via conda activate myEnv
- launch vscode from the command prompt, using "code"

prabindh

#Creating SBS (side by side) videos:

ffmpeg -i input_file -i input_file2 -filter_complex hstack -vcodec libx264 -b:v 30M -vsync 0 output.mp4

#MP4 from raw YUV

ffmpeg -f rawvideo -vcodec rawvideo -s 1920x1080 -pix_fmt yuv420p -i input.yuv -c:v libx264 -preset slow -qp 0 -vsync 0 -pix_fmt nv12 output.mp4

#Scaling:

prabindh

//Building C++ application with static build of libcurl:

/*
1. In the project, C++ preprocessor to be defined - "CURL_STATICLIB"

2. CURL itself should be built with:
- static option
- SSL static
- IPV6 static
- SSPI static

prabindh

// av_log_set_callback(ffmpeg_avcodec_log);

static void ffmpeg_avcodec_log(void *ptr, int val, const char * msg, va_list
	ap)
{
	AVClass* avc = ptr ? *(AVClass**)ptr : NULL;

	FILE *flog = fopen("stream-receiver.log", "a");
	if (avc)
	{

prabindh

#define OUTPUT_W 1920
#define OUTPUT_H 1080
#define OUTPUT_FPS 25

int main()
{
    int ret = 0;
    bool bUseHW = false;
    bool bNv = false;
    Encoder* pEnc = new Encoder(bUseHW, bNv, OUTPUT_W, OUTPUT_H, OUTPUT_FPS);

prabindh

// Create a texture and register it for sharing with CUDA.
int setup_external_texture_oes(nengl_ws* ws, void* window)
{
    int isSupported = -1;
    isSupported = ws->check_extension("EGL_KHR_gl_texture_2D_image");
    isSupported = ws->check_extension("GL_OES_EGL_image_external");
    
    constexpr GLsizei texSize = 32;
    GLubyte data[texSize * texSize * 4];
    GLuint mSourceTexture, mExternalTexture;

prabindh

GLuint positionsVBO;
struct cudaGraphicsResource* positionsVBO_CUDA;

int main() {

    // Explicitly set device
    cudaGLSetGLDevice(0);
    // Initialize OpenGL and GLUT
    ...
    glutDisplayFunc(display);

prabindh

// from https://stackoverflow.com/questions/59666753/encode-video-from-c-using-libavcodec-and-vaapi

#ifndef ENCODER_H
#define ENCODER_H
#include <cassert>

extern "C" {
#include <libavcodec/avcodec.h>
#include <libavformat/avformat.h>
#include <libavutil/opt.h>

prabindh

// https://stackoverflow.com/questions/62279768/avcodec-encode-video2-the-memory-usage-is-very-high

extern "C"
{
#ifndef __STDC_CONSTANT_MACROS
#define __STDC_CONSTANT_MACROS
#endif
#include <libavcodec/avcodec.h>
#include "libavformat/avformat.h"
#include "libswscale/swscale.h"

prabindh

// Snippet from https://stackoverflow.com/questions/16252905/why-do-i-get-a-crash-only-sometimes-when-closing-input-file-with-ffmpeg
// save the frame to file
                int Bytes = avpicture_get_size(PIX_FMT_YUVJ420P, CodecCtx->width, CodecCtx->height);
                BufferHandle buffer((uint8_t*)av_malloc(Bytes*sizeof(uint8_t)), av_free);
                CodecContextHandle OutContext(avcodec_alloc_context3(NULL), free_context);
                OutContext->bit_rate = CodecCtx->bit_rate;
                OutContext->width = CodecCtx->width;
                OutContext->height = CodecCtx->height;
                OutContext->pix_fmt = PIX_FMT_YUVJ420P;
                OutContext->codec_id = CODEC_ID_MJPEG;