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

Official ROS Driver for DepthAI Sensors.

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.

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

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.

ROS2 driver for OAK cameras

A POC project for OpenCV Spatial AI Competition

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.

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

该存储库包含直接使用 DepthAI SDK 或 DepthAI API 在设备上解码运行 Yolo 目标检测的代码

Examples to control the Opal C1 from within python.

Face Recognize System on camera AI OAK1

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

Camera Viewer app for OpenCV OAK-D camera

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

MiniPupper robot teleoperation via ROS and WebRTC

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

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

Use an OAK-D Lite as a webcam, with face tracking

Record RGB and stereo video with timestamp using DepthAI OAK-D.

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

A computer vision and machine learning pipeline on a distributed framework. Designed for an embedded network on low voltage IoT hardware.

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

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

depthai&C++ configure Template

Person re-identification in open-world settings of retail stores and public spaces

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