ROS driver for Pandar128

RoboSense LiDAR cross-platform driver kernel for advanced development

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

Point Cloud Library (PCL)

A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch

Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

RoadNet: A Multi-task Benchmark Dataset for Road Detection, TGRS.

Spatial Sparse Convolution in PyTorch

Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

necessary build tools for the archiconda distribution

To classify birds on basis of their species using their songs and audio processing techniques.

all the meta data needed for nyuv2

Tensors and Dynamic neural networks in Python with strong GPU acceleration

COCO API - Dataset @ http://cocodataset.org/

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.

Implements of some Attention Modules in Computer Vision

Replicated results from DenseDepth using DenseNet169 in Python.

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

DenseNet Implementation in Tensorflow

Joint scene classification and semantic segmentation with FuseNet

A point cloud segmentation algorithm based on clustering analysis

训练GAN自动生成动漫人物头像

Models and examples built with TensorFlow

使用 TensorFlow 进行 finetuning 的通用分类模型