## 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 [OpenCL](https://www.freedesktop.org/wiki/Software/Beignet) driver * If --enable-opencv, suggest [OpenCV](http://opencv.org) versions [3.0.0 - 3.4.3] (or: [OpenCV Wiki](https://github.com/opencv/opencv/wiki)) * If --enable-render, need compile [OpenSceneGraph](https://github.com/openscenegraph/OpenSceneGraph) library with configure option "-DOSG_WINDOWING_SYSTEM=X11" * If --enable-gles, need to install [Mesa3D](https://www.mesa3d.org) library * If --enable-vulkan, need to install [Mesa3D](https://www.mesa3d.org) library * If --enable-dnn, need to install OpenVino SDK #### 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](https://github.com/intel/libxcam/wiki/Tests) page #### Reporting Bugs: * Bugs or suggestions can be reported on the github [issues](https://github.com/intel/libxcam/issues) page * Security issues, please send email to wei.zong@intel.com directly #### Mailing list * To post a message to all the list members, please send email to libxcam@lists.01.org * To register libxcam public maillist, please go to [registration](https://lists.01.org/mailman/listinfo/libxcam) page #### Maintainer: * Wind Yuan * Wei Zong #### Contributors: (orders by first name) * Andrey Parfenov * Fei Wang * Jia Meng * John Ye * Juan Zhao * Junkai Wu * Sameer Kibey * Shincy Tu * Wei Zong * Yan Zhang * Yao Wang * Yinhang Liu