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efpn-pytorch

ego-lane-analysis-system

Ego-Lane Analysis System (ELAS): Dataset and Algorithms

erfnet_pytorch

Pytorch code for semantic segmentation using ERFNet

espnet

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

extendedkalmanfilter

face-detector-1mb-with-landmark

1M人脸检测模型(含关键点)

fast_seg

This repo provides :zap: fast:zap: semantic segmentation models on CityScapes/Camvid DataSet by Pytorch

fchardnet

Fully Convolutional HarDNet for Segmentation in Pytorch

ficicislam

wip - a simple slam implementation so i can learn stuff

fitcurves

Python implementation of Philip J. Schneider's "Algorithm for Automatically Fitting Digitized Curves" from the book "Graphics Gems"

fusion-ekf

An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

fusion-ukf

An unscented Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

fusionlane

The source code of paper FusionLane

gald-net

Source code and models of GALD net :tada:

gerona

GeRoNa (Generic Robot Navigation) is a modular robot navigation framework, that bundles path planning and path following (including obstacle detection) and manages communication between the individual modules. It is designed to be easily extensible for new tasks and robot models.

gitskills

gluon-cv

Gluon CV Toolkit

gps_ins_fusion

Fusing GPS, IMU and Encoder sensors for accurate state estimation.

gscnn

Gated-Shape CNN for Semantic Segmentation (ICCV 2019)

gtsrb

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

gtsrb_keras_stn

German Traffic Sign Recognition Benchmark, Keras implementation with Spatial Transformer Networks

hierarchical-decision-making-for-autonomous-driving

hierarchical-localization

Visual localization made easy with hloc

highway-env

A collection of environments for highway driving tasks

highway-path-planning

My path-planning pipeline to navigate a car safely around a virtual highway with other traffic.

hrnet-semantic-segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

icnet

ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018

image-contrast-enhancement

Python implementation of "A New Image Contrast Enhancement Algorithm Using Exposure Fusion Framework", CAIP2017

imgaug

Image augmentation for machine learning experiments.

inplace_abn

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs