Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

Unity BarracudaでMediaPipe Objectron(Shoe)を動作させるサンプル

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Compare an object to a generic model to test equality and extract matches

Sample implementation of 3D object detection with Intel OpenVINO

Objectron - a custom Orm written from scratch in Python - built it to understand and implement orm internals/abstractions, kept it minimal, clean and usable like a mini version of SqlAlchemy or Django ORM.

This is a sample of a Python package supported by MediaPipe running on Windows. 2021/05/05, it supports FaceDetection, FaceMesh, Pose, Hands, Holistic, Objectron and SelfieSegmentation.

Assignment of Software Architecture regarding the implementation of a software for TIAGo robot capable of recognizing an object and grasp it

Reviewed literature for Object Depth Estimation using 2D Images using NYU Depth Dataset and used Google’s MediaPipe Objectron dataset to estimate object poses using ML models.

This repository is an implementation of objectron dataloader in pytorch

A simple realtime 3D object renderer for humans ✨

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Objectron uses string template to design classes

An object sequence learner and predictor. Based on n-grams.

https://dawaralvi.github.io/mediapipe-objectron-web/

A web-based implementation of the Media Pipe object detection model for 3D pose estimation . This setup allows real-time 3D object detection directly in the browser without the need for additional software installations.

HSE Diploma 2021

A powerful Python package for transforming and tracking object references.

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A simple interactive demo of the Objectron library

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

A simple 3D Object Tracking webapp for humans built using streamlit.

> 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.

for study case

Objectron

Objectron

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