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

A lightweight neural-network for rapid detection of traffic cones

Lawn robot for spraying weeds

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

Camera Viewer app for OpenCV OAK-D camera

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

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

MiniPupper robot teleoperation via ROS and WebRTC

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

This package enables the integration and operation of the OAK-D camera in ROS 2, allowing users to select different sensors and process image data. It provides configurable options for RGB, stereo, depth, disparity, and point cloud publishing, along with visualization in RViz, making it a versatile tool for computer vision applications

Web-based teleoperation for different types of robots

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."

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