libXCam

Copyright (C) 2014-2019 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
    • Automotive surround view(360) stitching (OpenCL/CPU/GLES)
      • Support bowl view 3D model stitching by 4 video input.
      • 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.
    • 360 video stitching (Equirectangular mode via OpenCL)
      • Support 2-fisheye (>180 degree) video stream stitching.
      • Performance and quality improved.
    • 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 - 3.4.3] (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-dnn, need to compile OpenVino inference-engine

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
  

  --prefix=/usr:

  export LD_LIBRARY_PATH=/usr/lib/:$LD_LIBRARY_PATH
  export GST_PLUGIN_PATH=/usr/lib/gstreamer-1.0:$GST_PLUGIN_PATH
  

• $ ./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-render         enable 3D texture render, [default=no]
  --enable-dnn            enable dnn inference, [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 [email protected] directly

Mailing list

• To post a message to all the list members, please send email to [email protected]
• To register libxcam public maillist, please go to registration page

Maintainer:

• Wind Yuan [email protected]
• Wei Zong [email protected]

Contributors: (orders by first name)

• Andrey Parfenov [email protected]
• Fei Wang [email protected]
• Jia Meng [email protected]
• John Ye [email protected]
• Juan Zhao [email protected]
• Junkai Wu [email protected]
• Sameer Kibey [email protected]
• Shincy Tu [email protected]
• Wei Zong [email protected]
• Yan Zhang [email protected]
• Yao Wang [email protected]
• Yinhang Liu [email protected]