Top 8 Python 3d-object-detection Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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medicaldetectiontoolkit
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.
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EPro-PnP
[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
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SST
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). (by tusen-ai)
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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3d-multi-resolution-rcnn
Official PyTorch implementaiton of the paper "3D Instance Segmentation Framework for Cerebral Microbleeds using 3D Multi-Resolution R-CNN."
Project mention: What's the best model to get monocular 3d angle info | /r/deeplearning | 2023-06-28There are bunch of methods in this codebase, check it out. https://github.com/open-mmlab/mmdetection3d
Project mention: Looking for Point Cloud deep learning, training sources | /r/deeplearning | 2023-07-13I already have a basic understanding with Open3D-ML and manage to get examples for training to work. However, my knowledge is not sufficient to transfer this to my own data or model deployment.
Project mention: Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection | /r/BotNews | 2023-04-25This paper aims for high-performance offline LiDAR-based 3D object detection. We first observe that experienced human annotators annotate objects from a track-centric perspective. They first label the objects with clear shapes in a track, and then leverage the temporal coherence to infer the annotations of obscure objects. Drawing inspiration from this, we propose a high-performance offline detector in a track-centric perspective instead of the conventional object-centric perspective. Our method features a bidirectional tracking module and a track-centric learning module. Such a design allows our detector to infer and refine a complete track once the object is detected at a certain moment. We refer to this characteristic as "onCe detecTed, neveR Lost" and name the proposed system CTRL. Extensive experiments demonstrate the remarkable performance of our method, surpassing the human-level annotating accuracy and the previous state-of-the-art methods in the highly competitive Waymo Open Dataset without model ensemble. The code will be made publicly available at https://github.com/tusen-ai/SST.
Python 3d-object-detection related posts
Index
What are some of the best open-source 3d-object-detection projects in Python? This list will help you:
Project | Stars | |
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1 | mmdetection3d | 4,758 |
2 | Open3D-ML | 1,660 |
3 | medicaldetectiontoolkit | 1,266 |
4 | EPro-PnP | 1,047 |
5 | SST | 733 |
6 | labelCloud | 523 |
7 | CODD | 133 |
8 | 3d-multi-resolution-rcnn | 25 |