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ceasc

The official implementation of CEASC

https://github.com/cuogeihong/ceasc

Science Score: 44.0%

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Repository

The official implementation of CEASC

Basic Info
  • Host: GitHub
  • Owner: Cuogeihong
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 15 MB
Statistics
  • Stars: 119
  • Watchers: 1
  • Forks: 15
  • Open Issues: 32
  • Releases: 0
Created over 3 years ago · Last pushed about 3 years ago
Metadata Files
Readme Contributing License Code of conduct Citation

README.md

CEASC: Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images

The repo is the official implementation of CEASC.

Our CEASC module is at mmdet/models/dense_heads

Our Sparse Convolution Implementation is at Sparse_conv

Our config file is at configs/UAV

Requirement

Please follow docs/en/get_started.md and install the mmdetection toolbox.

a. Install Pytorch 1.10.1

b. Install MMDetection toolbox, required mmdet >= 2.7.0, mmcv-full >= 1.4.2.

  • Our project utilizes mmdet == 2.24.1, mmcv-full == 1.5.1

c. Install albumentations and other packages.

shell pip install nltk pip install -r requirements/albu.txt

d. Install our Sparse Convolution Implementation

shell cd ./Sparse_conv python setup.py install cd ..

Usage

1. Data preparation

You could download VisDrone and UAVDT dataset (COCO Format) from official links or from other repositories like UFPMP-Det.

2. Training

```shell % training on a single GPU python tools/train.py /path/to/config-file --work-dir /path/to/work-dir

% training on multi GPUs bash tools/dist_train.sh /path/to/config-file num-gpus --work-dir /path/to/work-dir ```

Checkpoints:

We provide the following checkpoints: - GFL v1 baseline, corresponding to baselinegflres18_visdrone: Google Drive - GFL v1 CEASC, corresponding to dynamicgflres18_visdrone: Google Drive - RetinaNet baseline, corresponding to baselineretinanetres18_visdrone: Google Drive - RetinaNet CEASC, corresponding to dynamicretinanetres18_visdrone: Google Drive

3. Test

shell python tools/test.py /path/to/config-file /path/to/work-dir/latest.pth --eval bbox

Citation

If you find our paper or this project helps your research, please kindly consider citing our paper in your publication.

@misc{ceasc, title={Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images}, author={Bowei Du and Yecheng Huang and Jiaxin Chen and Di Huang}, year={2023}, eprint={2303.14488}, archivePrefix={arXiv}, primaryClass={cs.CV} }

Owner

  • Login: Cuogeihong
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - name: "MMDetection Contributors"
title: "OpenMMLab Detection Toolbox and Benchmark"
date-released: 2018-08-22
url: "https://github.com/open-mmlab/mmdetection"
license: Apache-2.0

GitHub Events

Total
  • Issues event: 5
  • Watch event: 22
  • Issue comment event: 23
  • Fork event: 1
Last Year
  • Issues event: 5
  • Watch event: 22
  • Issue comment event: 23
  • Fork event: 1

Dependencies

.github/workflows/build.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
  • codecov/codecov-action v1.0.10 composite
  • codecov/codecov-action v2 composite
.github/workflows/build_pat.yml actions
  • actions/checkout v2 composite
.github/workflows/deploy.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
.github/workflows/lint.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
docker/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
docker/serve/Dockerfile docker
  • pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build
Sparse_conv/setup.py pypi
Sparse_conv_cpu/setup.py pypi
requirements/albu.txt pypi
  • albumentations >=0.3.2
requirements/build.txt pypi
  • cython *
  • numpy *
requirements/docs.txt pypi
  • docutils ==0.16.0
  • myst-parser *
  • sphinx ==4.0.2
  • sphinx-copybutton *
  • sphinx_markdown_tables *
  • sphinx_rtd_theme ==0.5.2
requirements/mminstall.txt pypi
  • mmcv-full >=1.3.17
requirements/optional.txt pypi
  • cityscapesscripts *
  • imagecorruptions *
  • scipy *
  • sklearn *
  • timm *
requirements/readthedocs.txt pypi
  • mmcv *
  • torch *
  • torchvision *
requirements/runtime.txt pypi
  • matplotlib *
  • numpy *
  • pycocotools *
  • six *
  • terminaltables *
requirements/tests.txt pypi
  • asynctest * test
  • codecov * test
  • flake8 * test
  • interrogate * test
  • isort ==4.3.21 test
  • kwarray * test
  • onnx ==1.7.0 test
  • onnxruntime >=1.8.0 test
  • pytest * test
  • ubelt * test
  • xdoctest >=0.10.0 test
  • yapf * test
requirements.txt pypi
setup.py pypi