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

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

in this project i use the media pipe and a gxipy library to build a 3d object detection model for house hold items, this will run if you have a U3V industrial device as a camera

3D Object Detection with MediaPipe

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> Monocular 3D object detection and pose estimation using MediaPipe Objectron. Visualizes 3D bounding boxes and rotation axes from RGB images using OpenCV.

the holistic detection detects face mesh ,hands and body postures.It can detect upto 30+fps.the project contains two different files one for 3d image detection and second for holistic detection. The project utilizes OpenCv, Python, MediaPipe API'S for detection.

Streamlit web app for real-time 3D object detection using MediaPipe's Objectron model – supports video and image modes.

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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.

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Mediapipe

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Simple 3D obeject detection with MediaPipe Objectron

3D_Object_Detection_(3D_Bounding_Boxes)with_MediaPipe_Objectronding) (1)

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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.

MediaPipe Shoe/Cup 3D Detector using tkinter for GUI and MediaPipe for object detection in real-time video.

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

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.

MediaPipe is very powerful library for various purposes such as Tracking, object detection 2d,3d etc. In same sense I have developed many hand-tracking projects such as Counting fingers and telling numbers of fingers [max=10] , identifying Left/Right hand, Virtual paint,etc.