Copyright (C) 2014-2019 Intel Corporation
libxcam core source code under the terms of Apache License, Version 2.0
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.
- 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/CPU)
- Support 8K 3-cameras video stream stitching.
- 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).
- Automotive surround view(360) stitching (OpenCL/CPU/GLES)
- 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.
- Advanced features
- 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.
- 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-dnn, need to compile OpenVino inference-engine
-
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/:$LD_LIBRARY_PATH export GST_PLUGIN_PATH=/usr/lo 8E94 cal/lib/gstreamer-1.0:$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
- For detailed test cases, please go to tests page
- Bugs or suggestions can be reported on the github issues page
- Security issues, please send email to wei.zong@intel.com directly
- 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 page
- Wind Yuan feng.yuan@intel.com
- Wei Zong wei.zong@intel.com
- Andrey Parfenov a1994ndrey@gmail.com
- Fei Wang feix.w.wang@intel.com
- Jia Meng jia.meng@intel.com
- John Ye john.ye@intel.com
- Juan Zhao juan.j.zhao@intel.com
- Junkai Wu junkai.wu@intel.com
- Sameer Kibey sameer.kibey@intel.com
- Shincy Tu shincy.tu@intel.com
- Wei Zong wei.zong@intel.com
- Yan Zhang yan.y.zhang@intel.com
- Yao Wang yao.y.wang@intel.com
- Yinhang Liu yinhangx.liu@intel.com