depthai

Running Google Mediapipe Hand Tracking models on Luxonis DepthAI hardware (OAK-D-lite, OAK-D, OAK-1,...)

Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.

OpenCV Spatial AI Competition 3rd prize winner project "Automatic Lawn Mower Navigation"

Android example to get the rgb and disparity images from the OAK-D device connected to a phone.

Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.

Unity project with an example on how to run the depthai library in Android.

A POC project for OpenCV Spatial AI Competition

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

Face Recognize System on camera AI OAK1

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

depthai&C++ configure Template

Camera Viewer app for OpenCV OAK-D camera

Python scripts performing on devive semantic segmentation using the TopFormer model in depthai.

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

ROS2 driver for OAK cameras

OAK module that groups all the scripts and functions necessary for neonatal infant monitoring.

This library is a set of tools to help create DepthAI pipelines and run depthai devices in a standard way.

Eye RSI preventer made as a project for IEEE Winter Quarterly Project at UC San Diego

Embedded AI solution to aid people with visual impairement involved in research by converting equations and texts from scientific books into Nemeth-Braille

Detecting time periods when cat eats at home using ML

By analysing the pose and motion of newborns, we can detect abnormal behaviours.

Lane detection example using the ultra fast lane detection model using the depthai framework.

DepthAI camera's video and still image outputs to a RTSP H264 video stream and JPEG HTTP server.

A minimal demo to run depthai time of flight cameras with an RGB overlay