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libXCam

Copyright (C) 2014-2023 Intel Corporation

libxcam core source code under the terms of Apache License, Version 2.0

Description:

libXCam is a project for extended camera features and focus on image quality improvement and video analysis. There are lots features supported in image pre-processing, image post-processing and smart analysis. This library makes GPU/CPU/ISP working together to improve image quality. OpenCL is used to improve performance in different platforms.

Features:

  • Image processing features
    • Advanced features
      • 360-degree video stitching
        • support ultra-high resolution (8K) video stitching.
        • support processing NV12 & YUV420 pixel format.
        • support 2/3/4 fish-eye cameras (FoV >180 degree) video stitching.
        • stitching image adopts equirectangular projection (ERP).
        • algorithms are optimized by AVX512 instruction, GLES and Vulkan.
        • stitching quality tuning supports OpenCV fisheye camera calibration parameters.
      • Automotive surround view (360-degree) stitching (OpenCL/CPU/GLES)
        • Support bowl view 3D model stitching by 4 input videos.
        • Enable geometry remap for WFoV camera calibration(intrinsic and extrinsic data).
        • Quality and performance improved (OpenCL/CPU/GLES).
        • CPU version upstreamed into AOSP for automotive surround view.
        • Enable Vulkan to improve performance.
      • DNN inference framework
        • Support pedestrian and vehicle detection.
      • Digital Video Stabilization
        • OpenCV feature-matched based video stabilization.
        • gyroscope 3-DoF (orientation) based video stabilization.
      • Blender: multi-band blender (OpenCL/CPU/GLES)
      • Noise reduction (OpenCL)
        • adaptive NR based on wavelet-haar and Bayersian shrinkage.
        • 3D-NR with inter-block and intra-block reference.
        • wavelet-hat NR (obsolete).
      • Wide dynamic range (WDR) (OpenCL)
        • histogram adjustment tone-mapping.
        • gaussian-based tone-mapping (obsolete).
      • Fog removal: retinex and dark channel prior algorithm (OpenCL)
        • dark channel prior algorithm based defog.
        • multi-scale retinex based defog (obsolete).
    • Basic pipeline from bayer to YUV/RGB format (OpenCL / AtomISP)
      • Gamma correction, MACC, color space, demosaicing, simple bilateral noise reduction, edge enhancement and temporal noise reduction.
    • 3A features
      • Auto whitebalance, auto exposure, auto focus, black level correction, color correction, 3a-statistics calculation.
  • Support 3rd party 3A lib which can be loaded dynamically
    • hybrid 3a plugin.
  • Support 3a analysis tuning framework for different features
  • Support smart analysis framework
    • Face detection interface/plugin.
  • Enable gstreamer plugin
    • xcamsrc, capture from usb/isp camera, process 3a/basic/advanced features.
    • xcamfilter, improve image quality by advanced features and smart analysis.

Prerequisite:

  • install gcc/g++, automake, autoconf, libtool, gawk, pkg-config
  • Linux kernel > 3.10
  • install ocl-icd-dev, ocl-icd-opencl-dev
  • If --enable-gst, need install libgstreamer1.0-dev, libgstreamer-plugins-base1.0-dev
  • If --enable-aiq, need get ia_imaging lib which we don't support
  • If --enable-libcl, need compile or install OpenCL driver
  • If --enable-opencv, suggest OpenCV versions [3.0.0 - 4.0.0) (or: OpenCV Wiki)
  • If --enable-render, need compile OpenSceneGraph library with configure option "-DOSG_WINDOWING_SYSTEM=X11"
  • If --enable-gles, need to install Mesa3D library
  • If --enable-vulkan, need to install Mesa3D library
  • If --enable-avx512, need to install GCC version > 4.9 ( CPUs With AVX-512 required)
  • If --enable-dnn, need to compile OpenVino
  • If --enable-json, need to install json.hpp

Building and installing:

  • Environment variable settings
    For different --prefix options, the environment variables may be different. Please set the environment variable according to the actual situation.
    --prefix=/usr/local:

    export LD_LIBRARY_PATH=/usr/local/lib/:$LD_LIBRARY_PATH
export GST_PLUGIN_PATH=/usr/local/lib/gstreamer-1.0:$GST_PLUGIN_PATH
source OPENVINO_INSTALLDIR/setupvars.sh

    --prefix=/usr:

    export LD_LIBRARY_PATH=/usr/lib/:$LD_LIBRARY_PATH
export GST_PLUGIN_PATH=/usr/lib/gstreamer-1.0:$GST_PLUGIN_PATH
source OPENVINO_INSTALLDIR/setupvars.sh

  • $ ./autogen.sh [options]

    --prefix=PREFIX         install architecture-independent files in PREFIX [default=/usr/local]
--enable-debug          enable debug, [default=no]
--enable-profiling      enable profiling, [default=no]
--enable-drm            enable drm buffer, [default=no]
--enable-aiq            enable Aiq 3A algorithm build, [default=no]
--enable-gst            enable gstreamer plugin build, [default=no]
--enable-libcl          enable libcl image processor, [default=yes]
--enable-opencv         enable opencv library, [default=no]
--enable-capi           enable libxcam-capi library, [default=no]
--enable-docs           build Doxygen documentation [default=no]
--enable-3alib          enable 3A lib build, [default=no]
--enable-smartlib       enable smart analysis lib build, [default=no]
--enable-gles           enable gles, [default=no]
--enable-vulkan         enable vulkan, [default=no]
--enable-avx512         enable AVX-512 instruction, [default=no]
--enable-render         enable 3D texture render, [default=no]
--enable-dnn            enable dnn inference, [default=no]
--enable-json           enable json parser, [default=no]

    For example:

    $ ./autogen.sh --prefix=/usr --enable-gst --enable-libcl --enable-opencv \
  --enable-smartlib --enable-profiling --enable-gles --enable-render --enable-dnn

  • $ make

  • $ sudo make install

Testing:

  • For detailed test cases, please go to tests page

Reporting Bugs:

  • Bugs or suggestions can be reported on the github issues page
  • Security issues, please send email to wei.zong@intel.com directly

Mailing list

Maintainer:

Contributors: (orders by first name)