qianglz's starred repositories
coord-convert
火星坐标(GCJ-02, BD-09, WGS)转换工具,支持命令行和Python API,支持点、线、面,支持GeoJson、shapefile...
UNetPlusPlus
[IEEE TMI] Official Implementation for UNet++
AutoDeeplab
Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
keras-image-segmentation
Image segmentation with keras. FCN, Unet, DeepLab V3 plus, Mask RCNN ... etc.
eye-in-the-sky
Satellite Image Classification using semantic segmentation methods in deep learning
deep-unet-for-satellite-image-segmentation
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
Semantic-Segmentation-of-Remote-Sensing-Images
遥感图像的语义分割,分别使用Deeplab V3+(Xception 和mobilenet V2 backbone)和unet模型,keras+python
USBuildingFootprints
Computer generated building footprints for the United States
awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
sense_classification
rscup: 遥感图像场景分类
Remote-sensing-image-semantic-segmentation
The project uses Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras.
edge-connect
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
video-object-removal
Just draw a bounding box and you can remove the object you want to remove.
Deep-Flow-Guided-Video-Inpainting
pytorch implementation for "Deep Flow-Guided Video Inpainting"(CVPR'19)
nvidia-docker
Build and run Docker containers leveraging NVIDIA GPUs
cascade-rcnn
Caffe implementation of multiple popular object detection frameworks
38-Cloud-A-Cloud-Segmentation-Dataset
This data set includes Landsat 8 images and their manually extracted pixel-level ground truths for cloud detection.
RSICD_optimal
Datasets for remote sensing images (Paper:Exploring Models and Data for Remote Sensing Image Caption Generation)
keras-mcnn
keras实现的人群密度检测网络"Single Image Crowd Counting via Multi Column Convolutional Neural Network",欢迎试用、关注并反馈问题...
crowdcount-cascaded-mtl
Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)
FCN-for-Semantic-Segmentation
Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing
UNet-CRF-RNN
Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation