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• FFMPEG android very slow converting raw aac to mp3

  24 novembre 2013, par Feras

  I managed to compile ffmpeg for android from this repo :
  https://github.com/aksalj/ffmpeg-android
  So you can see the configuration options in here :
  https://github.com/aksalj/ffmpeg-android/blob/master/config.sh

  The only changes I did were to change the darwin-x86_54 to darwin-x86 since the new r9b NDK only comes with it and also change the androideabi-4.4.3 to androideabi-4.6 again because of the new NDK. I am encoding a raw ADTS aac to mp3, the decoder for aac is libav and encoder for mp3 is libmp3lame. Even though the process works a simple 5 minute aac files (44100, 2ch) is taking about 3 minutes to process. The same file on my mac (with the macports ffmpeg) takes a few seconds.

  I am not sure but are there any optimizations that can be made to the ffmpeg config script or maybe i need to compile ffmpeg with something like libaacplus(even though i think aacplus is used for encoding only, so shouldnt make a difference).Anyways any performance optimizations will be highly appreciated !

  The android device is a US Galaxy S3 (i747m model which has the Snapdragon S4).

• libavfi/dnn : add LibTorch as one of DNN backend

  15 mars 2024, par Wenbin Chen

  libavfi/dnn : add LibTorch as one of DNN backend
  PyTorch is an open source machine learning framework that accelerates
  
  the path from research prototyping to production deployment. Official
  
  website : https://pytorch.org/. We call the C++ library of PyTorch as
  
  LibTorch, the same below.
  To build FFmpeg with LibTorch, please take following steps as
  
  reference :
  
  1. download LibTorch C++ library in
  
   https://pytorch.org/get-started/locally/,
  
  please select C++/Java for language, and other options as your need.
  
  Please download cxx11 ABI version :
  
   (libtorch-cxx11-abi-shared-with-deps-*.zip).
  
  2. unzip the file to your own dir, with command
  
  unzip libtorch-shared-with-deps-latest.zip -d your_dir
  
  3. export libtorch_root/libtorch/include and
  
  libtorch_root/libtorch/include/torch/csrc/api/include to $PATH
  
  export libtorch_root/libtorch/lib/ to $LD_LIBRARY_PATH
  
  4. config FFmpeg with ../configure —enable-libtorch \
  
   —extra-cflag=-I/libtorch_root/libtorch/include \
  
   —extra-cflag=-I/libtorch_root/libtorch/include/torch/csrc/api/include \
  
   —extra-ldflags=-L/libtorch_root/libtorch/lib/
  
  5. make
  To run FFmpeg DNN inference with LibTorch backend :
  
  ./ffmpeg -i input.jpg -vf \
  
  dnn_processing=dnn_backend=torch:model=LibTorch_model.pt -y output.jpg
  The LibTorch_model.pt can be generated by Python with torch.jit.script()
  
  api. https://pytorch.org/tutorials/advanced/cpp_export.html. This is
  
  pytorch official guide about how to convert and load torchscript model.
  
  Please note, torch.jit.trace() is not recommanded, since it does
  
  not support ambiguous input size.
  Signed-off-by : Ting Fu <ting.fu@intel.com>
  
  Signed-off-by : Wenbin Chen <wenbin.chen@intel.com>
  
  Reviewed-by : Guo Yejun <yejun.guo@intel.com>
  

  • [DH] configure
  • [DH] libavfilter/dnn/Makefile
  • [DH] libavfilter/dnn/dnn_backend_torch.cpp
  • [DH] libavfilter/dnn/dnn_interface.c
  • [DH] libavfilter/dnn_filter_common.c
  • [DH] libavfilter/dnn_interface.h
  • [DH] libavfilter/vf_dnn_processing.c

• How to read ip camera(rtsp) frames with python smoothly and without and delay and lagging for a long reading ? [closed]

  22 juillet, par Ayub Alam

  I am working on a client project to count cement bags on a trolley. The setup is as follows : Cement bags are placed on a trolley, which is then loaded into a wagon. During this process, I need to count how many bags are loaded. For this task, I am using the YOLOv11n-seg model.

  


  To capture the video feed, I am reading an IP camera stream via an RTSP link. However, during detection and counting, the frames often lag or delay, disrupting smooth processing. Initially, I tried OpenCV for camera streaming, but it had performance issues. Then, I switched to GStreamer, but the problem persisted. Finally, I attempted FFmpeg, but it still didn’t resolve the latency issue

  


  "As of now, I've tried multiple approaches to read an IP camera's RTSP stream, but I still face delays and lagging issues. I've used GStreamer, FFmpeg packages, and OpenCV, but none of them provide smooth camera reading. On the other hand, VLC and other media players stream very smoothly. Why is this happening ?"