OpenPCDet

OpenPCDet هو مكتبة تعلم عميق وأداة برمجية مبنية على PyTorch لاكتشاف الكائنات ثلاثية الأبعاد باستخدام تقنية LiDAR. يعمل كإطار عمل لمعالجة سحابة النقاط (point cloud) مصمم لتطوير وتدريب وتقييم نماذج التعلم الآلي التي تحدد وتحدد مواقع الكائنات في الفضاء ثلاثي الأبعاد.

يتضمن المشروع محرك هندسي مسرع بواسطة GPU للتنفيذ عالي الأداء لتقاطع الاتحاد (IoU) ثلاثي الأبعاد وقمع الحد الأقصى غير الدوار (rotated NMS). كما يوفر أداة تدريب موزعة للنماذج لتوسيع نطاق تدريب واختبار نماذج الاكتشاف عبر وحدات GPU وعقد حوسبة متعددة.

يغطي إطار العمل معالجة بيانات سحابة النقاط من خلال توحيد تمثيلات المشاهد ثلاثية الأبعاد وإدارة أعداد النقاط المتغيرة عبر مجموعات بيانات LiDAR المتنوعة.

Features

Point Cloud Detections - Provides a comprehensive framework for training and evaluating 3D object detectors using raw LiDAR point clouds.
Data-Parallel Training - Provides distributed training capabilities to synchronize gradients and parameters across multiple GPU nodes.
GPU Accelerated Computer Vision - Leverages GPU acceleration for high-performance geometric computations like 3D intersection and non-maximum suppression.
Distributed Training - Enables scaling of model training and testing workloads across multiple GPUs and computing nodes.
PyTorch Spatial Detection Libraries - Provides a set of PyTorch-based tools for building and training neural networks for spatial LiDAR data.
3D Object Detection - Implements algorithms for identifying and localizing objects in 3D space using LiDAR data.
Distributed Training Tools - Includes tools for scaling the training and communication of 3D detection models across multiple nodes.
Point Cloud and 3D Processing - Acts as a processing framework for analyzing 3D point clouds and standardizing scene representations.
Coordinate System Mappings - Standardizes diverse LiDAR datasets into a unified 3D coordinate system to maintain consistency across detection models.
3D Intersection Over Union Calculators - Calculates 3D intersection over union and rotated non-maximum suppression to refine detected object precision.
Detection Pipelines - Implements a two-stage detection pipeline combining region proposals with a refined bounding box regression head.
3D Geometry Engines - Includes a high-performance computational engine for processing 3D geometric data and transformations.
Config-Driven Instantiation - Implements a system where model architectures and hyperparameters are defined in external YAML files for flexible instantiation.
Data Model Decoupling - Decouples raw data storage from scene representations to efficiently handle variable point counts across datasets.
3D Detection and Segmentation - Point-voxel feature abstraction for 3D object detection.
معالجة سحابة النقاط (Point Cloud) - Toolbox for LiDAR-based 3D object detection.

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open-mmlabOpenPCDet

Name: open-mmlab/openpcdet
Author: open-mmlab

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5,621 نجوم1,451 تفرعاتPythonApache-2.04 مشاهدات

OpenPCDet

Features

Point Cloud Detections - Provides a comprehensive framework for training and evaluating 3D object detectors using raw LiDAR point clouds.
Data-Parallel Training - Provides distributed training capabilities to synchronize gradients and parameters across multiple GPU nodes.
GPU Accelerated Computer Vision - Leverages GPU acceleration for high-performance geometric computations like 3D intersection and non-maximum suppression.
Distributed Training - Enables scaling of model training and testing workloads across multiple GPUs and computing nodes.
PyTorch Spatial Detection Libraries - Provides a set of PyTorch-based tools for building and training neural networks for spatial LiDAR data.
3D Object Detection - Implements algorithms for identifying and localizing objects in 3D space using LiDAR data.
Distributed Training Tools - Includes tools for scaling the training and communication of 3D detection models across multiple nodes.
Point Cloud and 3D Processing - Acts as a processing framework for analyzing 3D point clouds and standardizing scene representations.
Coordinate System Mappings - Standardizes diverse LiDAR datasets into a unified 3D coordinate system to maintain consistency across detection models.
3D Intersection Over Union Calculators - Calculates 3D intersection over union and rotated non-maximum suppression to refine detected object precision.
Detection Pipelines - Implements a two-stage detection pipeline combining region proposals with a refined bounding box regression head.
3D Geometry Engines - Includes a high-performance computational engine for processing 3D geometric data and transformations.
Config-Driven Instantiation - Implements a system where model architectures and hyperparameters are defined in external YAML files for flexible instantiation.
Data Model Decoupling - Decouples raw data storage from scene representations to efficiently handle variable point counts across datasets.
3D Detection and Segmentation - Point-voxel feature abstraction for 3D object detection.
معالجة سحابة النقاط (Point Cloud) - Toolbox for LiDAR-based 3D object detection.

بدائل مفتوحة المصدر لـ OpenPCDet

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الأسئلة الشائعة

ما هي وظيفة open-mmlab/openpcdet؟

ما هي الميزات الرئيسية لـ open-mmlab/openpcdet؟

الميزات الرئيسية لـ open-mmlab/openpcdet هي: Point Cloud Detections, Data-Parallel Training, GPU Accelerated Computer Vision, Distributed Training, PyTorch Spatial Detection Libraries, 3D Object Detection, Distributed Training Tools, Point Cloud and 3D Processing.

ما هي البدائل مفتوحة المصدر لـ open-mmlab/openpcdet؟

تشمل البدائل مفتوحة المصدر لـ open-mmlab/openpcdet: open-mmlab/mmdetection3d — MMDetection3D is an open-source toolbox for 3D perception, providing a unified framework for detecting and segmenting… sshaoshuai/pcdet — PCDet is a LiDAR 3D object detection toolbox and point cloud processing library built on the PyTorch deep learning… dmlc/dgl — DGL is a Python library for building and training graph neural networks. It functions as a graph message passing… hiyouga/easyr1 — EasyR1 is a distributed model training system and reinforcement learning framework for large language and… facebookresearch/mmf — MMF is a modular framework for building, training, and evaluating vision-and-language models. It provides a… kimiyoung/transformer-xl — This project is an implementation of the Transformer-XL language model, a neural network architecture designed for…

OpenPCDet

Features

سجل النجوم

OpenPCDet

Features

بدائل مفتوحة المصدر لـ OpenPCDet

open-mmlab/mmdetection3d

sshaoshuai/PCDet

dmlc/dgl

facebookresearch/mmf

الأسئلة الشائعة

سجل النجوم

بدائل مفتوحة المصدر لـ OpenPCDet

open-mmlab/mmdetection3d

sshaoshuai/PCDet

dmlc/dgl

facebookresearch/mmf

الأسئلة الشائعة