snooble

snooble

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snooble's repositories

A-LOAM

Advanced implementation of LOAM

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bdd-data

Toolkit to use BDD Dataset

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CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

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CenterNet_object

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

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deeplab-pytorch

PyTorch implementation of DeepLab v2 (ResNet) + COCO-Stuff 10k/164k

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faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

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hdl_graph_slam

3D LIDAR-based Graph SLAM

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LeGO-LOAM

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

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limo

Lidar-Monocular Visual Odometry

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LKVOLearner

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

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lvt

Lightweight Visual Tracking: A multipurpose visual odometry system.

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mmdetection

Open MMLab Detection Toolbox

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ndt_omp

Multi-threaded and SSE friendly NDT algorithm

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NetVLAD-pytorch

Pytorch implementation of NetVLAD & Online Hardest Triplet Loss.

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openvslam

OpenVSLAM: a Versatile Visual SLAM Framework

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poselstm-pytorch

PyTorch implementation of PoseLSTM and PoseNet

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pytorch-deeplab-xception

DeepLab v3+ model in PyTorch

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pytorch-NetVlad

Pytorch implementation of NetVlad including training on Pittsburgh.

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PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

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PytorchSSD

pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet

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scalabel

Quantify computer vision performance in human terms

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second.pytorch

PointPillars for KITTI object detection

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semantic_slam

Real time semantic slam in ROS with a hand held RGB-D camera

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simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

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SSD

High quality, fast, modular reference implementation of SSD in PyTorch 1.0

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turtlebot3_slam_3d

Turtlebot3 3D-SLAM demo using RTAB-Map with Jetson TX2 and ZED Mini

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VINS-Fusion

An optimization-based multi-sensor state estimator

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VINS-Mono

A Robust and Versatile Monocular Visual-Inertial State Estimator

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Yolo-pytorch

YOLO for object detection tasks

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