3D OBJECT DETECTION with 30+ FPS on CPU - MediaPipe and OpenCV Python

This repo includes the implementation of 3D Object Detection with MediaPipe

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3D Object Detection with MediaPipe

No description available

No description available

Simple 3D obeject detection with MediaPipe Objectron

3D_Object_Detection_(3D_Bounding_Boxes)with_MediaPipe_Objectronding) (1)

3D Object Detection system using MediaPipe Objectron for video-based object localization and pose estimation with 3D bounding box visualization.

A sample of tensorflow 3d object detection from a tutorial available online. Done with the help of Mediapipe

A simple Streamlit app for 3D object detection using MediaPipe Objectron. Upload an image and detect Cup, Shoe, Chair, or Camera with 3D bounding boxes and axis visualization. Clean UI, fast inference, and perfect for learning 3D vision with MediaPipe.

The project involves using the MediaPipe library to perform 3D object detection in images or videos. This includes tasks such as adapting or extending MediaPipe modules for 3D tracking, transforming coordinates for 3D representation, integrating with 3D visualization libraries, and optimizing for real-time processing.

This project is a virtual reality demonstration that uses Three.js for 3D graphics and TensorFlow.js along with MediaPipe for real-time hand detection. The goal is to visualize key points of the hands in 3D and interact with 3D objects.