L.S's repositories
cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/
ghost-free-shadow-removal
[AAAI‘20] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
awesome-remote-sensing-change-detection
List of datasets, codes, and contests related to remote sensing change detection
BIT_CD
Official Pytorch Implementation of "Remote Sensing Image Change Detection with Transformers"
cvat
Powerful and efficient Computer Vision Annotation Tool (CVAT)
deeplabv3-plus-pytorch
这是一个deeplabv3-plus-pytorch的源码，可以用于训练自己的模型。
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.
efficient_densenet_pytorch
A memory-efficient implementation of DenseNets
GIS-Info.github.io
GIS海外留学信息
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
make-sense
Free to use online tool for labelling photos. https://makesense.ai
PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, etc.
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Remote-Sensing-RVSA
The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model"
Road-Extraction
A multi-stage road extraction method for surface and centerline detection
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
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)
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
U-Net-Satellite
Road Detection from satellite images using U-Net.
vision
Datasets, Transforms and Models specific to Computer Vision
yolov3
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite