Utility scripts for COCO json annotation format. The COCO Format is defined here.

cocojson package can be installed through pip3 install -e . (editable install) or pip3 install .

Please click into each for more details (if applicable).

Please use https://github.com/levan92/cocoapi.

Merges multiple datasets

python3 -m cocojson.run.merge -h

Merges multiple datasets

python3 -m cocojson.run.merge_from_file -h

Samples k images from a dataset

python3 -m cocojson.run.sample -h

Split up a COCO JSON file by images into N sets defined by ratio of total images

python3 -m cocojson.run.split -h

Visualise annotations onto images. Best used for sanity check.

python3 -m cocojson.run.viz -h

Mapping categories to a new dataset. Usually used for converting annotation labels to actual class label for training.

python3 -m cocojson.run.map_cat -h

Filter categories from COCO JSON.

python3 -m cocojson.run.filter_cat -h

Remove images annotated with certain "ignore" category labels. This is usually used for removing rubbish images that are pointed out by annotators to ignore frame.

python3 -m cocojson.run.ignore_prune -h

Insert any extra attributes/image meta information associated with the images into the coco json file.

python3 -m cocojson.run.insert_img_meta -h

Split up a COCO JSON file by images' meta-information/attributes

python3 -m cocojson.run.split_by_meta -h

Match images between a reference COCO JSON A and COCO JSON B (to be trimmed). Any images in JSON B that is not found in JSON A will be removed (along with associated annotations)

python3 -m cocojson.run.match_imgs -h

Get annotations/predictions only from a COCO JSON. Usually used to generate a list of predictions for COCO evaluation.

python3 -m cocojson.run.pred_only -h

Convert CVAT Video XML to COCO JSON whilst preserving track information.

python3 -m cocojson.run.cvatvid2coco -h

TODO

Converts CrowdHuman's odgt annotation format to COCO JSON format.

python3 -m cocojson.run.crowdhuman2coco -h

Converts Custom Object Detection Logging format to COCO JSON format.

python3 -m cocojson.run.log2coco -h

TODO