yisun98 / LSIF-RAOD

Learning Semantic-aligned Cross-modal Discriminative Fusion Features for Aerial Object Detection

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LSCDF-VIAOD

Learning Semantic-aligned Cross-modal Discriminative Fusion Features for Aerial Object Detection

Datasets

DroneVehicle: https://github.com/SunYM2020/UA-CMDet

Environments

  • Ubuntu 18.04
  • CUDA 10.0
  • NCCL 2+
  • GCC 4.9+
  • PyTorch 1.1
  • Python 3.7
  • torch-vision 0.3
  • mmcv 0.4.3

Getting Started

Train

python tools/train.py configs/DroneVehicle/LSCDF.py

Test

python tools/test.py configs/DroneVehicle/LSCDF.py work_dirs/LSCDF/latest.pth --out work_dirs/LSCDF/results.pkl

Parse the results.pkl

python tools/parse_results.py --config configs/DroneVehicle/LSCDF.py --type OBB

Evaluation

python eval/DroneVehicleEval.py LSCDF

About

Learning Semantic-aligned Cross-modal Discriminative Fusion Features for Aerial Object Detection

License:Apache License 2.0


Languages

Language:Python 88.3%Language:Cuda 7.7%Language:C++ 3.4%Language:Cython 0.3%Language:Shell 0.2%Language:SWIG 0.0%