qianglz

qianglz

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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...

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UNetPlusPlus

[IEEE TMI] Official Implementation for UNet++

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AutoDeeplab

Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation

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Keras-FCN

Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation(Unfinished)

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keras-image-segmentation

Image segmentation with keras. FCN, Unet, DeepLab V3 plus, Mask RCNN ... etc.

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eye-in-the-sky

Satellite Image Classification using semantic segmentation methods in deep learning

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deep-unet-for-satellite-image-segmentation

Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet

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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

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eo-learn

Earth observation processing framework for machine learning in Python

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USBuildingFootprints

Computer generated building footprints for the United States

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awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

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robosat

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

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sense_classification

rscup: 遥感图像场景分类

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Remote-sensing-image-semantic-segmentation

The project uses Unet-based improved networks to study Remote sensing image semantic segmentation, which is based on keras.

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edge-connect

EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

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video-object-removal

Just draw a bounding box and you can remove the object you want to remove.

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Deep-Flow-Guided-Video-Inpainting

pytorch implementation for "Deep Flow-Guided Video Inpainting"(CVPR'19)

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nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

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cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

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38-Cloud-A-Cloud-Segmentation-Dataset

This data set includes Landsat 8 images and their manually extracted pixel-level ground truths for cloud detection.

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kubeflow

Machine Learning Toolkit for Kubernetes

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RSICD_optimal

Datasets for remote sensing images (Paper:Exploring Models and Data for Remote Sensing Image Caption Generation)

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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...

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crowdcount-cascaded-mtl

Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)

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MSCNN

A Python 3 and Keras 2 implementation of MSCNN for people counting.

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FCN-for-Semantic-Segmentation

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

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UNet-CRF-RNN

Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation

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