1341 Open source projects that are alternatives of or similar to Pointclouddatasets

Crop/Weed Field Image Dataset

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Papers and Datasets about Point Cloud.

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

Keras implementation for Pointnet

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Grid-GCN for Fast and Scalable Point Cloud Learning

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

CNNs for semantic segmentation using Keras library

Collections of model quantization algorithms

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

PyTorch Implementation of Stacked U-Nets (SUNets)

deep learning for image processing including classification and object-detection etc.

Sandbox for training deep learning networks

Pytorch framework for doing deep learning on point clouds.

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism' features such as complex formating, varying scales, categorical variables, and missing values.

TF2 implementation of PointNet for segmenting point clouds

A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm

API for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

基于Tensorflow2开发的优秀扩展包及项目

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

Pytorch framework for doing deep learning on point clouds.

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

An open-source semi-automated processing chain for urban OBIA classification.

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

Collection of computer vision models, ready to be included in a JVM project

Tensorflow implementation : U-net and FCN with global convolution

PAPC is a deep learning for point clouds platform based on pure PaddlePaddle

Resurces for MRI images processing and deep learning in 3D

All-in-one Toolbox for Computer Vision Research.

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

R package to interface with OpenML

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

A collection of dataset loaders

《深度学习与计算机视觉》配套代码

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

A lean C++ library for working with point cloud data

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

A Python toolbox for computer vision research and project

Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.

A clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.

OpenMMLab Model Compression Toolbox and Benchmark.

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Image Test Time Augmentation with PyTorch!

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

3D Graph Neural Networks for RGBD Semantic Segmentation

Generalized Data-free Universal Adversarial Perturbations

Semantic3D segmentation with Open3D and PointNet++

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

PHP-ML - Machine Learning library for PHP