Spectacular AI SDK fuses data from cameras and IMU sensors and outputs an accurate 6-degree-of-freedom pose of a device.

Overview

Spectacular AI SDK examples

Spatial AI

Spectacular AI SDK fuses data from cameras and IMU sensors (accelerometer and gyroscope) and outputs an accurate 6-degree-of-freedom pose of a device. This is called Visual-Inertial Odometry (VIO) and it can be used in, among other cases, tracking (autonomous) robots and vehicles, as well as Augmented, Mixed and Virtual Reality.

Supported devices

Out-of-the-box

The SDK supports a limited set of devices out-of-the-box. This means that the SDK can be used without any manual calibration, integration or parameter tuning, with these devices. If you want to test the SDK as easily as possible, we recommend buying one of these devices. At the moment, the only supported device is the OAK-D by Luxonis. See the folder python/oak for more information about the OAK-D wrapper.

Other devices

The SDK can be integrated on any device with adequate sensors and processing capabilities. At minimum, a single rolling-shutter camera + mid-quality MEMS IMU is sufficient. For better performance, a global-shutter stereo camera and a better MEMS IMU (e.g., CEVA BNO08X or Murata SCHA634) is recommended. At minimum, CPU resources equivalent to approximately one ARM Cortex A72 core (e.g., one core in Raspberry Pi 4) is required.

For more information, contact us at https://www.spectacularai.com/#contact.

Known limitations in the SDK

(We're working on these)

  • No tracking status. If the tracking breaks (e.g., when pointing at a blank wall), there is no indication of the failure from the SDK
  • No loop closures. The current version of the SDK performs only local VIO. It will eventually drift and the SDK makes no attempts to correct this
  • API documentation to be published soon

Possible other bugs and other problems can be reported as issues in this Github repository.

Copyright

The examples in this repository are licensed under Apache 2.0 (see LICENSE).

The SDK itself (not included in this repository) is proprietary to Spectacular AI. The OAK / Depth AI wrapper available in PyPI is free for non-commercial use on x86_64 Windows and Linux platforms. For commerical licensing options and more SDK variants (ARM binaries & C++ API), contact us at https://www.spectacularai.com/#contact .

Owner
Spectacular AI
Spectacular AI
The repo for mlbtradetrees.com. Analyze any trade in baseball history!

The repo for mlbtradetrees.com. Analyze any trade in baseball history!

7 Nov 20, 2022
High Dimensional Portfolio Selection with Cardinality Constraints

High-Dimensional Portfolio Selecton with Cardinality Constraints This repo contains code for perform proximal gradient descent to solve sample average

Du Jinhong 2 Mar 22, 2022
collect training and calibration data for gaze tracking

Collect Training and Calibration Data for Gaze Tracking This tool allows collecting gaze data necessary for personal calibration or training of eye-tr

Pascal 5 Dec 17, 2022
ETL pipeline on movie data using Python and postgreSQL

Movies-ETL ETL pipeline on movie data using Python and postgreSQL Overview This project consisted on a automated Extraction, Transformation and Load p

Juan Nicolas Serrano 0 Jul 07, 2021
Investigating EV charging data

Investigating EV charging data Introduction: Got an opportunity to work with a home monitoring technology company over the last 6 months whose goal wa

Yash 2 Apr 07, 2022
This repo is dedicated to the data extraction and manipulation of the World Bank's database called STEP.

Overview Welcome to the Step-X repository. This repo is dedicated to the data extraction and manipulation of the World Bank's database called STEP. Be

Keanu Pang 0 Jan 20, 2022
Kennedy Institute of Rheumatology University of Oxford Project November 2019

TradingBot6M Kennedy Institute of Rheumatology University of Oxford Project November 2019 Run Change api.txt to binance api key: https://www.binance.c

Kannan SAR 2 Nov 16, 2021
PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j.

PostQF Copyright © 2022 Ralph Seichter PostQF is a user-friendly Postfix queue data filter which operates on data produced by postqueue -j. See the ma

Ralph Seichter 11 Nov 24, 2022
Validation and inference over LinkML instance data using souffle

Translates LinkML schemas into Datalog programs and executes them using Souffle, enabling advanced validation and inference over instance data

Linked data Modeling Language 7 Aug 07, 2022
Created covid data pipeline using PySpark and MySQL that collected data stream from API and do some processing and store it into MYSQL database.

Created covid data pipeline using PySpark and MySQL that collected data stream from API and do some processing and store it into MYSQL database.

2 Nov 20, 2021
Udacity - Data Analyst Nanodegree - Project 4 - Wrangle and Analyze Data

WeRateDogs Twitter Data from 2015 to 2017 Udacity - Data Analyst Nanodegree - Project 4 - Wrangle and Analyze Data Table of Contents Introduction Proj

Keenan Cooper 1 Jan 12, 2022
A powerful data analysis package based on mathematical step functions. Strongly aligned with pandas.

The leading use-case for the staircase package is for the creation and analysis of step functions. Pretty exciting huh. But don't hit the close button

48 Dec 21, 2022
Fitting thermodynamic models with pycalphad

ESPEI ESPEI, or Extensible Self-optimizing Phase Equilibria Infrastructure, is a tool for thermodynamic database development within the CALPHAD method

Phases Research Lab 42 Sep 12, 2022
Port of dplyr and other related R packages in python, using pipda.

Unlike other similar packages in python that just mimic the piping syntax, datar follows the API designs from the original packages as much as possible, and is tested thoroughly with the cases from t

179 Dec 21, 2022
MotorcycleParts DataAnalysis python

We work with the accounting department of a company that sells motorcycle parts. The company operates three warehouses in a large metropolitan area.

NASEEM A P 1 Jan 12, 2022
Data processing with Pandas.

Processing-data-with-python This is a simple example showing how to use Pandas to create a dataframe and the processing data with python. The jupyter

1 Jan 23, 2022
Statistical Analysis 📈 focused on statistical analysis and exploration used on various data sets for personal and professional projects.

Statistical Analysis 📈 This repository focuses on statistical analysis and the exploration used on various data sets for personal and professional pr

Andy Pham 1 Sep 03, 2022
Useful tool for inserting DataFrames into the Excel sheet.

PyCellFrame Insert Pandas DataFrames into the Excel sheet with a bunch of conditions Install pip install pycellframe Usage Examples Let's suppose that

Luka Sosiashvili 1 Feb 16, 2022
Falcon: Interactive Visual Analysis for Big Data

Falcon: Interactive Visual Analysis for Big Data Crossfilter millions of records without latencies. This project is work in progress and not documente

Vega 803 Dec 27, 2022
talkbox is a scikit for signal/speech processing, to extend scipy capabilities in that domain.

talkbox is a scikit for signal/speech processing, to extend scipy capabilities in that domain.

David Cournapeau 76 Nov 30, 2022