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mnist

models

Models and examples built with TensorFlow

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

object_detection

目标检测开源代码

openmvs_sample

OpenMVS usage example

openwhu

武汉大学课程资料整理-WHU课代表计划

paddle

PArallel Distributed Deep LEarning （『飞桨』核心框架，高性能单机、分布式训练和跨平台部署）

pdrscd

基于『飞桨』的遥感变化检测工具（Remote sensing change detection tool based on『PaddlePaddle』）

pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch.

raster-vision

An open source framework for deep learning on satellite and aerial imagery.

raster-vision-deepglobe-semseg

rekcarc-tsc-uht

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

remote-sensing-analysis

Implementing a remote sensing object detector using Tensorflow object detection API

remote-sensing-indices-derivation-tool

Calculate spectral remote sensing indices from satellite imagery

resection_python

摄影测量学的后方交会程序Python版

robosat

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

rssrai2019_scene_classification

Scene classification baseline. Test Acc:90.14%

satellite-image-segment

卫星影像的AI分类与识别 BDCI 比赛

sense_classification

rscup: 遥感图像场景分类

slp-cropland-parcel-extraction

cropland-parcel extraction

smoothly-blend-image-patches

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

st-unet

tensorflow

利用Tensorflow的深度学习框架搭建CNN网络进行“卫星遥感图像”的识别与预测

tensorflow-cnn-tutorial

tensorflow-windows-wheel

Tensorflow prebuilt binary for Windows

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tf.keras-commonly-used-models

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.0下运行。

tf_unet

Generic U-Net Tensorflow implementation for image segmentation

u-net-segmentation-example

An example Jupyter notebook for image segmentation using U-Net and Brine

uavproduct

处理无人机影像的代码，使用了OpenMVG，openMVS以及GDAL库等，实现影像几何校正，影像拼接，点云生成等功能