COFGA: Classification Of Fine-Grained Features In Aerial Images

pip install -upgrade pip  
pip install -r requirments.txt  

downloading pretrained was not working for some reason. Mannualy downlod model

wget https://download.pytorch.org/models/resnet18-5c106cde.pth                                 
mv resnet18-5c106cde.pth  ~/.torch/models/  

visualization

use display_class and display_test. the differences are that test doesn't have labels

prepare split

The train set (as it turns out) contains overlapping strips. Hence the same instance can appear in multiple images. Use train_split.py to detect overlaping image groups (or use data/train_image_groups.yaml that was computed with train_split.py). Use the yaml file to initialize the data_loaders.