oxford_sorter.py is experimental. Mostly used it to get the index set but have...
oxford_sorter.py is experimental. Mostly used it to get the index set but have to understand the dataset better before building it. - removed extract_features function form util -> model can now get all features per image, experiment manager will run retrieval/ data loading - added custom dataset to dataloader.py that also returns filepaths - perform retrieval so far extracts index features and performs pca note: pca in test run only explains ~40% of variance. is that feasible? TODO: extract features should return rf centers instead of boxes write matching function incorporate it into experiment manager
Showing with 245 additions and 22 deletions