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bagfromimages

Create a rosbag from a collection of images

cnn-dso

Direct Sparse Odometry with CNN Depth Prediction

cnn_slam

CNN SLAM implementation of https://arxiv.org/abs/1704.03489

cspn

Convolutional Spatial Propagation Network

cspn_monodepth

PyTorch implementation of Convolutional Spatial Propagation Network

cube_slam

CubeSLAM: Monocular 3D Object Detection and SLAM

deeplab-v3-plus-cityscapes-coine

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

deeplabv3plus

deeplabv3plus-pytorch

Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.

depthawarecnn

Depth-aware CNN for RGB-D Segmentation, ECCV 2018

dso_with_saving_pcl

DSO with additional function for saving point cloud data

dsoslb

elasticfusion

Real-time dense visual SLAM system

lidar_slam

Basic algorithms for lidar slam.

loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

lsd_slam

LSD-SLAM

ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mobilenetv3

MobileNetV3 Pytorch experiments on ImageNet and CIFAR-100

mobilenetv3-pytorch

multi-task-refinenet

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

orb-slam2_rgbd_dense_map

This repository is modified from Xiang Gao's "ORB_SLAM2_modified".It is added a dense loopclosing map model.

orb-slam2_with_semantic_label

orb-slam2 with semantic label

orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

orbslam2_dense

orbslam2_with_pointcloud_map

pinhole-fisheye-mapping

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

pytorch-segmentation

PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)