google-research-datasets / ObjectronLinks
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 descri…
☆2,309Updated 3 years ago
Alternatives and similar repositories for Objectron
Users that are interested in Objectron are comparing it to the libraries listed below
Sorting:
- Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding☆1,895Updated 2 weeks ago
- code for Mesh R-CNN, ICCV 2019☆1,161Updated 10 months ago
- The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.☆1,304Updated 2 years ago
- Code for "OnePose: One-Shot Object Pose Estimation without CAD Models", CVPR 2022☆983Updated 10 months ago
- D2Go is a toolkit for efficient deep learning☆849Updated 11 months ago
- We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.☆1,645Updated 2 years ago
- A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation …☆2,578Updated 5 months ago
- Atlas: End-to-End 3D Scene Reconstruction from Posed Images☆1,843Updated 3 years ago
- gradslam is an open source differentiable dense SLAM library for PyTorch☆1,383Updated 2 years ago
- The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"☆1,312Updated last year
- Official PyTorch implementation of "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks"☆464Updated 3 years ago
- Dense Prediction Transformers☆2,255Updated 10 months ago
- A simple, fully convolutional model for real-time instance segmentation.☆5,182Updated last month
- PyTorch3D is FAIR's library of reusable components for deep learning with 3D data☆9,559Updated last week
- OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT…☆3,799Updated 2 years ago
- Lightweight Python library for adding real-time multi-object tracking to any detector.☆2,543Updated 5 months ago
- Code for our CVPR 2020 work.☆813Updated 2 years ago
- A PyTorch Library for Accelerating 3D Deep Learning Research☆4,916Updated last month
- DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel …☆1,026Updated 2 years ago
- Code release for "Omni3D A Large Benchmark and Model for 3D Object Detection in the Wild"☆817Updated last year
- High Quality Monocular Depth Estimation via Transfer Learning☆1,606Updated 2 years ago
- [ICCV 2019] Monocular depth estimation from a single image☆4,415Updated last year
- Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.☆1,231Updated last year
- NVIDIA Deep learning Dataset Synthesizer (NDDS)☆587Updated 4 years ago
- TRI-ML Monocular Depth Estimation Repository☆1,266Updated 2 years ago
- KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to pr…☆773Updated 2 years ago
- Visual localization made easy with hloc☆3,735Updated 3 weeks ago
- Synthetic data for computer vision. An open source toolkit using Blender and Python.☆318Updated 3 years ago
- [IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking☆4,173Updated 2 years ago
- A procedural Blender pipeline for photorealistic training image generation☆3,254Updated last week