YanpingLi's repositories

GAOFEN2021_CHANGEDETECTION

第五届中科星图杯高分辨率可见光图像中建筑物普查与变化检测

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mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

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apls

Python code to evaluate the APLS metric

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Autodrive-3D-detection

Group project in HKUST

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building_damage_detection

Code for building damage detection with xBD dataset.

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Change-Detection-Review

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

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CurveLanes

CurveLanes is a new benchmark lane detection dataset with 150K lanes images for difficult scenarios such as curves and multi-lanes in traffic lane detection. It is collected in real urban and highway scenarios in multiple cities in China.

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ever

Earth Vision Foundation

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Image-Matching-Paper-List

A personal list of papers and resources of image matching and pose estimation, including perspective images and panoramas.

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Lane-Marking-Detection

This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefore, we cannot use a Deep Learning algorithm that learns to identify the lane markings by looking at a vast amount of data. Instead we will need to build a system that is able to identify the marking just by looking at the intensity value within the point cloud.

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Learning-Deep-Learning

Paper reading notes on Deep Learning and Machine Learning

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nuscenes-devkit

The devkit of the nuScenes dataset.

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nuscenes-to-osm-exporter

NuScenes Map to OpenStreetMap Exporter

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pointcloud-landmarks-extractor

Tools to detect and classify landmarks (currently, trees and pole-like objects) from point cloud data

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resume

个人中文简历 Latex 源码 https://hijiangtao.github.io/

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RoadMarkingExtraction

A C++ Program for automatically extraction of road markings from MLS or ALS point cloud [ISPRS-A' 19]

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satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

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second.pytorch

SECOND for KITTI/NuScenes object detection

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slideslive-slides-dl

slideslive slides downloading script

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Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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xView2_baseline

Baseline localization and classification models for the xView 2 challenge.

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