- Add support to process coco dataset
- add support to download files and archives from the web and google drive
- addedd support for removing categories and other utilities
- addedd support to create a dataset from scratch
- added support to visualize images and annotations
- make image removing optional during annotations and categories deletion
- added copy dataset
- added split dataset
- fixed a bug in colors generation for show images
- update signature for function def update_images_path(self, func):
- add method to dump dataset in format segmentation map
- fixed bug in maskutils.mask_to_polygons
- add class to transform the predictions from instance and semantic segmentation in coco format
- fixed bug in add_image, add_annotation, add_category
- make load_image and load_images load random images sampled from the dataset
- fixed bug for tqdm when removing a category and its annotations from the dataset
- removed the prefix jpg when saving masks
- update draw instance to draw only bounding boxes
- fixed bug in enum for draw instances
- add show bounding boxes
- changed representation for masks from [width, height, labels] to [labels, width, height]
- added method to crop images
- added method to move annotations with respect a bounding box
- support fully creation o a new dataset
- fixed vairous bugs
- fixed bug when the size of the segments is equal to 4
- fixed bug in json dump to serialize numpy array
- fixed bug in json dump to serialize numpy types
- fixed various bugs
- add index for speedup lookup operations
- add new feature to compute mean average precision and recall per class and global
- add computation of mean average precision and mean average recall per image
- fixed bug in score computation
- fixed bug in mask generation
- feature that allows us to add a single mask per component when saving segmentation results
- add min confidence when displaying prediction from a segmentation mask model
- now semantic coco accepts only logits to create annotations
- add new method to remap category idxs
- add new feature to save images and masks to a folder and filter out images and mask with less than k annotations
- the method get_segmentation_mask return also the avg score of the image annotations
- the method save_mask_images save also a weight files with the avg score for the image