Utilities developed to tackle specific problems in one medical imaging "College student Innovation" program (Dachuang).

Testing different classifiers for determination of clue cells.

Test images and write clue cells detection results to file.

Slice images of various resolution to 1024*1024px images, preserving bounding boxes that mostly fit into the picture.

Convert PASCAL-VOC style annotations to MS COCO format.

Merge discrete JSON annotations into one, as MS COCO dataset.

Test a model and draw both generated and pre-annotated bounding boxes on testing images.

Test all epochs of a run with one config, and compare results of them.

Supervise the training progress in background, report at each epoch's start with email, also automatically test the last epoch and send the result with email when a new epoch starts.