weiniuzhu Goto Github PK

robond-camera-calibration

Camera Calibration images and notebook example

robond-deeplearning-project

RoboND Term 1 Deep Learning Project, Follow-Me

robond-perception-exercises

Perception Exercises for Robotics

robotics-toolbox-matlab

Robotics Toolbox for MATLAB

rtm3d

The PyTorch Implementation of RTM3D for Monocular 3D Object Detection

rtmux

A lightweight para-virtualization layer to provide real-time environments for Linux/ARM.

rtnet

Fork of RTnet for Xenomai 2.x

rx-thorax-automatic-captioning

sar-imaging

Synthetic Aperture Radar Imaging

scnn

Spatial CNN for traffic lane detection

self-driving-car

The Udacity open source self-driving car project

senet

Squeeze-and-Excitation Networks

senet-caffe

A Caffe Re-Implementation of SENet

senet-tensorflow

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

senet.pytorch

PyTorch implementation of SENet

sfa3d

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

sfml

Simple and Fast Multimedia Library

sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

sfmlearner-pytorch

Pytorch version of SfmLearner from Tinghui Zhou et al.

show-and-tell

Automatically generate human-like captions for your images.

simplest_ffmpeg_video_filter

use FFmpeg's AVFilter to add watermark in a video file

slambook2

edition 2 of the slambook

ssd-tensorflow

Single Shot MultiBox Detector in TensorFlow

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

ssd_keras

A Keras port of Single Shot MultiBox Detector

ssd_tensorflow_traffic_sign_detection

Implementation of Single Shot MultiBox Detector in TensorFlow, to detect and classify traffic signs

streamlit

Streamlit — The fastest way to build custom ML tools

stretch_firmware

Firmware for the Stretch RE1 custom PCBAs

sw-sift

Matlab implementation of sift(opensift) algorithm.

tareeqav

Learning Project To Implement A "Limited" Autonomous Vehicle