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• Cannot Compile FFMPEG with libfreetype on Windows/Msys2

  10 octobre 2024, par Devin Dixon

  I am having issues compiling ffmpeg with libfreetype with this commmand on windows MSYS2 :

  


  ./configure     --pkg-config-flags="--static" --enable-libvpl  --enable-libopenh264     --enable-version3  --enable-libfreetype    --enable-libopus     --enable-libvpx     --enable-libvorbis     --enable-libaom     --enable-libdav1d     --disable-gpl     --disable-w32threads     --enable-pthreads     --disable-shared     --enable-static     --extra-cflags='--static'   --extra-cflags="-I/mingw64/include -static"   --extra-ldflags="-L/mingw64/lib -static" --prefix="/home/compiled"


  


  I keep getting this error :

  


  ERROR: freetype2 not found using pkg-config

If you think configure made a mistake, make sure you are using the latest
version from Git.  If the latest version fails, report the problem to the
ffmpeg-user@ffmpeg.org mailing list or IRC #ffmpeg on irc.libera.chat.
Include the log file "ffbuild/config.log" produced by configure as this will help
solve the problem.


  


  I've installed freetype with this command :

  


   pacman -Ss mingw-w64-x86_64-freetype


  


  I've also tried compiling freetype2 from the source :

  


  git clone https://git.savannah.gnu.org/git/freetype/freetype2.git

cd freetype2

mkdir build && cd build

/mingw64/bin/cmake .. -G "MSYS Makefiles" -DBUILD_SHARED_LIBS=OFF -DCMAKE_INSTALL_PREFIX=/mingw64

make

make install


  


  And pkg-config gives this :

  


  pkg-config freetype2 --cflags --libs
-IC:/msys64/mingw64/include/freetype2 -IC:/msys64/mingw64/include/harfbuzz -IC:/msys64/mingw64/include/glib-2.0 -IC:/msys64/mingw64/lib/glib-2.0/include -IC:/msys64/mingw64/include/libpng16 -lfreetype


  


  I can confirm the package is there :

  


  ls /mingw64/lib/pkgconfig/freetype2.pc
/mingw64/lib/pkgconfig/freetype2.pc


  


  Is there anything else I should be doing to compile a static version of ffmpeg with this package ?

  


• Implementing Live Streaming Webinar Architecture - Need Guidance

  21 septembre 2023, par vishnugpl

  Question : I'm working on a project to implement a live streaming webinar platform, and I'm looking for guidance on the architecture and technologies to use. I have some specific requirements and constraints, and I'd appreciate any advice or pointers on how to get started.

  


  Context :
I'm tasked with building a live streaming webinar platform from scratch for our organization. Here are some key requirements and constraints :

  


  


  1. Live Video Streaming : We need to support live video streaming for
webinars, workshops, and conferences. Low latency is crucial for
real-time interaction between presenters and attendees.

     


  


  2. Scalability : The platform should be able to handle a large number of concurrent attendees, potentially thousands or more,
without compromising performance.

     


  


  3. Security : Security is a top priority. We need to ensure that only authorized users can access the webinars, and we must protect
against unauthorized recording or distribution of the content.

     


  


  4. User Interaction : Attendees should be able to ask questions, participate in polls, and interact with presenters in real-time.

     


  


  5. Recording and Playback : We also want to provide recorded versions of past webinars for on-demand viewing (HLS).

     


  


  


  Current Tech Stack :

  


  

  • Frontend : React

  


  • Backend : Node.js with Express

  


  • Database : MongoDB

  


  • Cloud Hosting : AWS

  


  


  Questions :

  


  


  • What technologies or services are best suited for handling live video streaming with low latency ?

    


  


  • How can I ensure scalability in terms of both video streaming and handling a large number of users ?

    


  


  • What security measures should I consider to protect the content and user data ?

    


  


  • Are there any recommended frameworks or libraries for building interactive features like real-time chat and polling ?

    


  


  • What's the best approach for recording and serving on-demand webinar content ?

    


  


  


  Additional Information :

  


  


  • Budget is a consideration, so cost-effective solutions are preferred.

    


  


  • Any open-source or third-party tools that can simplify development are welcome.

    


  


  • I have experience with AWS, but I'm open to other cloud providers if they offer advantages for this project.

    


  


  


• gcc is unable to create an executable file

  1er juin 2023, par Abhinandan Madaan

  I'm trying to compile ffmpeg cloned from ffmpeg github (with gpu support using CUDA) in my windows instance. I'm using msys2 mingw64 commandline to run the following command. The configure script is present in the root of the cloned ffmpeg codebase mentioned above.

  


  ./configure --enable-cuda --enable-cuvid --enable-nvenc --enable-libnpp --enable-nonfree --extra-cflags=-I/c/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v12.1/include --extra-ldflags=-L/c/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v12.1/lib/x64


  


  But I get the following error :

  


  gcc is unable to create an executable file.
If gcc is a cross-compiler, use the --enable-cross-compile option.
Only do this if you know what cross compiling means.
C compiler test failed.

If you think configure made a mistake, make sure you are using the latest
version from Git.  If the latest version fails, report the problem to the
ffmpeg-user@ffmpeg.org mailing list or IRC #ffmpeg on irc.libera.chat.
Include the log file "ffbuild/config.log" produced by configure as this will help
solve the problem.


  


  config.log file looks something like this(I have removed most of the unnecessary lines in between the logs) :

  


  # ./configure --enable-cuda --enable-cuvid --enable-nvenc --enable-libnpp --enable-nonfree --extra-cflags='-I/c/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.1/include' --extra-ldflags='-L/c/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.1/lib/x64'
ACLOCAL_PATH=/mingw64/share/aclocal:/usr/share/aclocal
ALLUSERSPROFILE='C:\ProgramData'
ALL_COMPONENTS='
    
    aac_adtstoasc_bsf
av1_frame_merge_bsf
.
.
.
.
gcc -I/c/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.1/include -c -o /tmp/ffconf.b4kwCEqD/test.o /tmp/ffconf.b4kwCEqD/test.c
gcc.exe: warning: Files/NVIDIA: linker input file unused because linking not done
gcc.exe: error: Files/NVIDIA: linker input file not found: No such file or directory
gcc.exe: warning: GPU: linker input file unused because linking not done
gcc.exe: error: GPU: linker input file not found: No such file or directory
gcc.exe: warning: Computing: linker input file unused because linking not done
gcc.exe: error: Computing: linker input file not found: No such file or directory
gcc.exe: warning: Toolkit/CUDA/v12.1/include: linker input file unused because linking not done
gcc.exe: error: Toolkit/CUDA/v12.1/include: linker input file not found: No such file or directory
C compiler test failed.


  


  It looks like it is unable to recognise the directory names with spaces included. I've tried escaping using \ as well as with double quotes and single quotes too. I've tried the following commands, but the result is the same :

  


  ./configure --enable-cuda --enable-cuvid --enable-nvenc --enable-libnpp --enable-nonfree --extra-cflags=-I /c/"Program Files"/"NVIDIA GPU Computing Toolkit"/CUDA/v12.1/include --extra-ldflags=-L /c/"Program Files"/"NVIDIA GPU Computing Toolkit"/CUDA/v12.1/lib/x64


  


  ./configure --enable-cuda --enable-cuvid --enable-nvenc --enable-libnpp --enable-nonfree --extra-cflags="-I/c/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.1/include" --extra-ldflags="-L/c/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.1/lib/x64"


  


  ./configure --enable-cuda --enable-cuvid --enable-nvenc --enable-libnpp --enable-nonfree --extra-cflags="-I'/c/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.1/include'" --extra-ldflags="-L'/c/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v12.1/lib/x64'"


  


  ./configure --enable-cuda --enable-cuvid --enable-nvenc --enable-libnpp --enable-nonfree --extra-cflags=-I/c/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v12.1/include --extra-ldflags=-L/c/Program\ Files/NVIDIA\ GPU\ Computing\ Toolkit/CUDA/v12.1/lib/x64