CEP is a software platform designed for users that want to learn or rapidly prototype using standard A.I. components.

Spectacular AI SDK

Python scripts for performing 6D pose estimation and shape reconstruction using the CenterSnap model in ONNX

This is a vision-based 3d model manipulation and control UI

Provides a conversion flow for YOLACT_Edge to models compatible with ONNX, TensorRT, OpenVINO and Myriad (OAK). My own implementation of post-processing allows for e2e inference. Support for Multi-Class NonMaximumSuppression, CombinedNonMaxSuppression.

Latest main K9 robot repository with 3D vision, local STT/TTS with GPT-3 and 360 LIDAR.

my ROS workspace

Lawn robot for spraying weeds

Sample projects to use DepthAI + OpenCV with OAK-D cameras in C++

A lightweight neural-network for rapid detection of traffic cones

Camera Viewer app for OpenCV OAK-D camera

Data recorder for OAK-D (deprecated, use vio_record.py in OAK-D Python SDK instead)

MiniPupper robot teleoperation via ROS and WebRTC

A Computer Vision and SLAM platform based oak-d and livox.

Leg detection and following robot controller using the OAK-D stereoscopic camera and AI accelerator.

Single Shot MultiBox Detector deployed on a OAK-D Lite cam via DepthAI

Web-based teleoperation for different types of robots

A ROS package that captures a target user and reidentifies that target when tracking is lost. Targeted for OAK-D.

An easy-to-use and robust library for seamless interaction with OAK cameras and the DepthAI API. It aims to bridge the gap between the DepthAI API and SDK, allowing for built-in integration with OpenCV and Open3D "out-of-the-box."

DepthAI tutorials in Jupyter Notebooks...more coming soon.