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R2IPoints : Pursuing Rotation-Insensitive Point Representation for Aerial Object Detection
Codes for R2IPoints : Pursuing Rotation-Insensitive Point Representation for Aerial Object Detection.
The overview of R2IPoints:
Getting Started
Prerequisties
- pip install torch==1.1.0
- pip install torchvision==0.3.0
- pip install mmdet==1.2.0
- pip install mmcv==0.3.1
- pip install -r requirements/build.txt
- pip install -v -e .
Datasets preparation
- DIOR: http://www.escience.cn/people/gongcheng/DIOR.html
- DOTA: https://captain-whu.github.io/DOTA/
- code for cutting images: https://github.com/dingjiansw101/AerialDetection/tree/master/DOTA_devkit
Quick start
- python tools/train.py ./configs/R2IPoints/R2IPoints_moment_r101_fpn_2x_DIOR.py
- python tools/test.py ./configs/R2IPoints/R2IPoints_moment_r101_fpn_2x_DIOR.py ${CHECKPOINT_FILE} --eval mAP