YOLO-Airbus Oil tank detection

Modular implementation of YOLOX

Installation - Requirements

Note: Both CUDA-10.1 and CUDA-10.2 should be added to /usr/local/, and add below line to the .bashrc

export LD_LIBRARY_PATH=/usr/local/cuda-10.2/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}

Make sure to run environment.yml to install all necessary packages, and the YOLOX detection is adapted from the given link, make sure to clone the repo and install it as editable.

and

Download https://github.com/Megvii-BaseDetection/YOLOX/releases/download/0.1.1rc0/yolox_s.pth

Configuration

Make sure to run the coco and configuration files as explained in the instructions, especially adding the "oil" in the COCO class pre-defined coco classes

Instructions of usage

• Add YOLOX as env with path to YOLOX detection
• Add AIRBUS_SPOT as env with path to Airbus imagery folder. src/cfg/splits.py-->src/coco/tiles.py--->src/coco/oil_coco.py--->src/coco/annots.py