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ros-academy-for-beginners

**大学MOOC《机器人操作系统入门》课程代码示例

roscpp_code_format

Auto formatting script for ROS C++ Style Guidelines

run_based_segmentation

An ongoing implementation ros node on `fast segmentation of 3d point clouds: a paradigm`...

sa-ssd

second.pytorch

PointPillars for KITTI object detection

semantic-kitti-api

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

semantic_suma

Semantic Mapping using Surfel Mapping and Semantic Segmentation (Chen et al IROS 2019)

semanticsegmentation_dl

Resources of semantic segmantation based on Deep Learning model

simpledet

A Simple and Versatile Framework for Object Detection and Instance Recognition

simulator

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

siren_recognition

Based on the improved Gaussian mixture model and the flute-based vehicle identification method which incorporates MFCC features and RASTA-PLP features.

snap

Sorting yellow leaves from the vegetables using OpenCV.

squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

squeezeseg

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

squeezesegv2

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

ssd_keras

A Keras port of Single Shot MultiBox Detector

sst

Codes for “Fully Sparse 3D Object Detection” & “Embracing Single Stride 3D Object Detector with Sparse Transformer”

stanford_self_driving_car_code

Stanford Code From Cars That Entered DARPA Grand Challenges

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

structure-from-motion

Using SfM algorithm to reconstruct the 3D point cloud of object and display it.

styleguide

Style guides for Google-originated open-source projects

summaryofloansuspension

全国各省市停贷通知汇总

svm_hog_cuda

HOG pedestrian detection algorithm CUDA parallel implementation.

svm_hog_detection_predict

Using HOG descriptors and SVM classifiers in OpenCV to achieve pedestrian detection.

t-cnn

ImageNet 2015 Object Detection from Video (VID)

tensorflow

Computation using data flow graphs for scalable machine learning

tfsegmentation

RTSeg: Real-time Semantic Segmentation Comparative Study

toronto-3d

A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

uniad

Goal-oriented Autonomous Driving

ustcthesis

LaTeX template for USTC thesis