libcaer ==== Minimal C library to access, configure and get data from neuromorphic sensors and processors. Currently supported devices are the Dynamic Vision Sensor (DVS), the DAVIS cameras, and the Dynap-SE neuromorphic processor. REQUIREMENTS: Linux, MacOS X or Windows (for Windows build instructions see README.Windows) pkg-config cmake >= 3.10.0 gcc >= 4.9 or clang >= 3.6 libusb >= 1.0.17 Optional: libserialport >= 0.1.1 Optional: OpenCV >= 3.1.0 Please make sure that you have the various development packages installed for the above dependencies. They are usually called PKG-dev or PKG-devel. On Fedora Linux: $ sudo dnf install @c-development cmake pkgconfig libusbx-devel On Ubuntu Linux: $ sudo apt-get install build-essential cmake pkg-config libusb-1.0-0-dev On MacOS X (using Homebrew): $ brew install cmake pkg-config libusb INSTALLATION: 1) configure: $ cmake -DCMAKE_INSTALL_PREFIX=/usr . Optional: add -DENABLE_SERIALDEV=1 to enable support for serial port devices, such as the eDVS4337, via libserialport. Optional: add -DENABLE_OPENCV=1 to enable better support for frame enhancement (demoisaicing for color, contrast, white-balance) via OpenCV. 2) build: $ make 3) install: $ sudo make install DOCUMENTATION: Online HTML documentation is available at https://inivation.gitlab.io/dv/libcaer/ Also check the examples/ directory and the iniVation Support website. For the development tree, you can generate the documentation using: $ make doc - to generate docs/latex/ and docs/html/ documentation files. $ make pdf - to generate a PDF from the LaTeX sources at docs/latex/refman.pdf. USAGE: See the examples/ directory. Each example shows minimal working code to connect to a device and print out data coming from it. To compile the examples, see 'examples/README' for the build commands. General usage follows this pattern (simplified): h = caerDeviceOpen(TYPE); caerDeviceSendDefaultConfig(h); caerDeviceDataStart(h); loop: c = caerDeviceDataGet(h); work with c (container) and its event packets caerDeviceDataStop(h); caerDeviceClose(&h); All configuration parameters and event types are specified in the public headers and documented there. PAPER REFERENCES: DVS: https://ieeexplore.ieee.org/document/4444573 P. Lichtsteiner, C. Posch and T. Delbruck, "A 128×128 120dB 15us Latency Asynchronous Temporal Contrast Vision Sensor", IEEE Journal of Solid State Circuits, 43(2) 566-576, 2008. DAVIS: https://ieeexplore.ieee.org/document/6889103 C. Brandli, R. Berner, M. Yang, S.-C. Liu, and T. Delbruck, “A 240x180 130dB 3us Latency Global Shutter Spatiotemporal Vision Sensor”, IEEE Journal of Solid State Circuits, 49(10) 2333-2341, 2014. For an exhaustive list of papers and research concerning event-based vision, please refer to: https://github.com/uzh-rpg/event-based_vision_resources HELP: Please use our GitLab bug tracker to report issues and bugs, or our Google Groups mailing list for discussions and announcements. BUG TRACKER: https://gitlab.com/inivation/dv/libcaer/issues/ MAILING LIST: https://groups.google.com/d/forum/dv-users/ BUILD STATUS: https://gitlab.com/inivation/dv/libcaer/pipelines/ CODE ANALYSIS: https://sonarcloud.io/dashboard?id=com.inivation.libcaer
thusjr/libcaer
Minimal C library to access, configure and get data from neuromorphic sensors and processors. Currently supported devices are the Dynamic Vision Sensor (DVS), the DAVIS cameras, and the Dynap-SE neuromorphic processor. THIS IS A MIRROR. ORIGINAL PROJECT LIVES AT https://gitlab.com/inivation/libcaer
CBSD-2-Clause