EVer - A Library for Earth Vision Researcher
EVer is a Pytorch-based Python library to simplify the training and inference of the deep learning model in the remote sensing domain.
This is a beta version for research only.
Features
- Common codebase for reproducible research
- Accelerating our Earth Vision research
- Single workflow of "data-module-configs"
Installation
stable version (0.5.6)
pip install ever-beta
nightly version (master)
pip install --upgrade git+https://github.com/Z-Zheng/ever.git
conda-forge
conda install -c conda-forge ever-beta
Getting Started
Projects using EVer
Change Detection (Our Change Family)
- torchange: A Unified Change Representation Learning Benchmark Library [
Code] - (AnyChange) Segment Any Change, NeurIPS 2024 [
Paper] - (Changen) Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process, ICCV 2023 [
Paper], [Code] - (ChangeMask) ChangeMask: Deep Multi-task Encoder-Transformer-Decoder Architecture for Semantic Change Detection, ISPRS P&RS 2022. [
Paper] - (ChangeStar) Change is Everywhere: Single-Temporal Supervised Object Change Detection
in Remote Sensing Imagery, ICCV 2021. [
Paper], [Project], [Code] - (ChangeOS) Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: from natural disasters to man-made disasters, RSE 2021. [
Paper], [Code]
Segmentation
- FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery, IEEE TPAMI 2023. [
Paper], [Code] - Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery, CVPR 2020. [
Paper], [Code] - Deep multisensor learning for missing-modality all-weather mapping, ISPRS P&RS 2021. [
Paper] - FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery, TGRS 2021. [
Paper], [Code] - LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation, NeurIPS 2021 Datasets and Benchmarks. [
Paper], [Code/Dataset]
Hyperspectral Image Classification
- FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification, TGRS 2020. [
Paper], [Code]
License
EVer is released under the Apache License 2.0.
Copyright (c) Zhuo Zheng. All rights reserved.
Metadata
Release files for ever-beta 0.6.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ever_beta-0.6.1.tar.gz | 96.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ever_beta-0.6.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 224.6 kB
Release files / ever_beta-0.6.1.tar.gz
| Download URL | ever_beta-0.6.1.tar.gz |
|---|---|
| Size | 96.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / ever_beta-0.6.1-py3-none-any.whl
| Download URL | ever_beta-0.6.1-py3-none-any.whl |
|---|---|
| Size | 128.3 kB |
| Tags | Python 3 |
|
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