PyAER - Low-level Python APIs for Accessing Neuromorphic Devices

Yuhuang Hu

GitHub release PyPI - Python Version Build Status Build status license Downloads

Ubuntu macOS Raspbian Windows

Installation

  1. Install bleeding-edge libcaer dependency (RECOMMEND)

     $ bash <(curl -s https://raw.githubusercontent.com/duguyue100/pyaer/master/install-libcaer.sh)
    

    NOTE: To build libcaer on Windows, please follow this description.

    NOTE: For more information, see libcaer repo.

    NOTE: From 0.1.0a18, we support eDVS, you will need to install libserialport so that the package can work properly, follow the building instructions from here. Currently, this support is not built into the release since we are not clear how useful is this feature. If you are interested, you can build the project from scratch.

  2. Directly install from pypi (RECOMMEND)

     $ pip install pyaer -U
    
  3. Install from source

     $ git clone https://github.com/duguyue100/pyaer.git
     $ make install
    

Got a Linux?

libcaer relies on libusb based driver, you won’t be able to access the camera unless fixing the udev rules. Refer to details at here.

$ bash <(curl -s https://raw.githubusercontent.com/duguyue100/pyaer/master/install-udev.sh)

Running Examples

The scripts folder provides some examples for you to play with:

  1. dvs128-test: you need OpenCV to run this example, note that if you are on Mac, OpenCV’s waitKey() function may cause delay of displaying frames.

  2. dvs128-glumpy: you need glumpy package to run this example. glumpy is a fast visualization library based on OpenGL. We found it’s very fast to render images. In our case, we use GLFW backend. If glumpy couldn’t find your installed GLFW on your system, make sure you set the GLFW_LIBRARY variable to /your/glfw/library/path/libglfw.so.

  3. dvs240-test: you need OpenCV to run this example.

  4. dvs346-test: you need OpenCV to run this example.

More examples are coming…

Read more at project readme

Contacts

Yuhuang Hu
Email: duguyue100@gmail.com