OpenMMLab's next-generation platform for general 3D object detection.
-
Updated
Jul 10, 2024 - Python
OpenMMLab's next-generation platform for general 3D object detection.
An extension of Open3D to address 3D Machine Learning tasks
World's first general purpose 3D object detection codebse.
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
Paper reading notes on Deep Learning and Machine Learning
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046
[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
A lightweight tool for labeling 3D bounding boxes in point clouds.
Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.
🔥3D-BoNet in Tensorflow (NeurIPS 2019, Spotlight)
The official PyTorch Implementation of RTM3D and KM3D for Monocular 3D Object Detection
[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
Argoverse 2: Next generation datasets for self-driving perception and forecasting.
Add a description, image, and links to the 3d-object-detection topic page so that developers can more easily learn about it.
To associate your repository with the 3d-object-detection topic, visit your repo's landing page and select "manage topics."