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#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:

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import os
import json

def path_to_dict(path):
    d = {'name': os.path.basename(path)}
    if os.path.isdir(path):
        d['type'] = "directory"
        d['children'] = [path_to_dict(os.path.join(path,x)) for x in os.listdir\
(path)]
    else:

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"

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//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

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using cudf instead of Pandas
(Add -y for conda install rapidsai channel as below, else it waits for input)

!wget -c https://repo.continuum.io/archive/Anaconda3-5.1.0-Linux-x86_64.sh
!chmod +x Anaconda3-5.1.0-Linux-x86_64.sh
!bash ./Anaconda3-5.1.0-Linux-x86_64.sh -b -f -p /usr/local
!conda install -y -c rapidsai -c nvidia -c numba -c conda-forge \
    cudf=0.13 python=3.6 cudatoolkit=10.1
import cudf

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#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);

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// 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)
	{

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// 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;

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GLuint positionsVBO;
struct cudaGraphicsResource* positionsVBO_CUDA;

int main() {

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

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// 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>