L.S's starred repositories
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
make-sense
Free to use online tool for labelling photos. https://makesense.ai
pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
Smart_Construction
Base on YOLOv5 Head Person Helmet Detection on Construction Sites,基于目标检测工地安全帽和禁入危险区域识别系统,🚀😆附 YOLOv5 训练自己的数据集超详细教程🚀😆2021.3新增可视化界面❗❗
Safety-Helmet-Wearing-Dataset
Safety helmet wearing detect dataset, with pretrained model
deeplabv3-plus-pytorch
这是一个deeplabv3-plus-pytorch的源码,可以用于训练自己的模型。
SegmenTron
Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)
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.
deep-learning-frameworks
Installation support for Deep Learning Frameworks for the ArcGIS System
Remote-Sensing-RVSA
The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model"
Polygonization-by-Frame-Field-Learning
This repository contains the code for our fast polygonal building extraction from overhead images pipeline.
Mask-ShadowGAN
Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data | ICCV 2019
Road-Extraction
A multi-stage road extraction method for surface and centerline detection
meta-learning-CODEBRIM
Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset".
U-Net-Satellite
Road Detection from satellite images using U-Net.
G2R-ShadowNet
CVPR2021 From Shadow Generation to Shadow Removal
PyTorch_DeepLab
Here is an implementation of DeepLabv3+ in PyTorch(1.7). It supports many backbones and datasets.
LG-ShadowNet
Shadow Removal by a Lightness-Guided Network with Training on Unpaired Data
PyGdal_vector_clip_raster
Python+GDAL通过矢量裁剪遥感图像