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Analog Devices 3D ToF software suite

Overview

The ADI ToF SDK is a cross platform library for the Analog Devices depth cameras based on the ADSD3100 TOF Signal Processor. It provides support for data processing on the embedded processor platform as well as for USB, Ethernet, Offline or Wi-Fi to connect to a host computer. This flexibility enables evaluation across a wide range of use cases and environments.

The SDK provides an API to control the ToF camera, IR stream and depth data. Windows support are built into the SDK as well as sample code and wrappers for various languages including Python and C/C++.

License : License Platform details : Hardware

Supported host platforms

For more details on building the SDK on a host platform please check the User Guide specified below:.

Operating System Documentation GitHub master status Downloads
Windows Build Instructions Build status ToF evaluation kit installer
Linux Build Instructions Build status ToF evaluation kit installer

Supported embedded platforms

For more details on building the SDK on an embedded platform please check the User Guide specified below:

ITOF camera

Operating system Evaluation boards Documentation GitHub master status
NXP EVAL-ADTF3175D-NXZ Build instructions Build status

How to write the SD card image onto the SD card?

SDK documentation

From an architectural point of view, the SDK consists of two layers. One layer is the high level API that allows clients to easily grab a camera object, configure it and request frames. The other layer is the low level API which exposes the interface through which low level operations can be made to the camera hardware.

For more details about the SDK check the links below:

Software stack documentation

API Doxygen documentation

Building and installing the SDK

SDK examples

Example Language Description
tof-viewer C++ Graphical User interface for visualising stream from depth camera
data-collect C++ A command line application that takes in command line input arguments (like number of frames, mode to be set, folder location to save frame data) and captures the frames and stores in path provided
first-frame C++
Python
An example code that shows the steps required to get to the point where camera frames can be captured.
point-cloud C++ An application for visualising depth of a frame (Point Cloud representation).
low_level_example Python A simple example of how to get access to the low-level API of the camera.
ROS CPP Wrapper ROS/C++ ROS binding that publishes topics
ROS2 CPP Wrapper ROS2/C++ ROS2 binding that publishes topics

Directory Structure

Directory Description
apps Applications specific to various targets and hosts
bindings SDK bindings to other languages
ci Useful scripts for continuous integration
cmake Helper files for cmake
dependencies Contains third-party and owned libraries
doc Documentation
drivers Holds drivers for nxp and nvidia
examples Example code for the supported programming languages
scripts Useful development scripts
sdcard-images-utils Things required to build a SD card image for targets
sdk SDK source code
tools Standalone applications

Known issues

On a PC where Linux kernel version 5.13 is installed, a USB connected camera cannot be detected. The v4l device name that we expect is not being set properly. However it works for older and newer versions.


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  • C++ 74.9%
  • C 15.7%
  • Shell 3.3%
  • CMake 2.9%
  • Python 2.3%
  • Dockerfile 0.4%
  • Other 0.5%