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As said in the documentation, it produces instances masks, I tried to use the following command to extract masks by class (if I understand well the doc)
Hi, I'm not sure I understood well the result you're trying to achieve. The actions above should be enough to produce panoptic masks in the COCO format, they're going to be in the annotations/panoptic/ directory.
As said in the documentation, it produces instances masks, I tried to use the following command to extract masks by class (if I understand well the doc)
COCO panoptic format contains .png masks with special encoding. Please check the VOC segmentation format, which contains "normal" 3-channel colored masks. To convert from your project, call
Hi,
I tried to create semantic masks (or at least panoptic masks) for a segmentation task. I used CVAT to annotate and I tried multiple export formats.
I achieve to create masks only with COCO format but it not matters.
I follow the following steps :
!datum create -o ./coco_project
!datum import -p ./coco_project -f coco ./dataset_coco
!datum transform -t polygons_to_masks -p ./coco_project/ --overwrite source-1
As said in the documentation, it produces instances masks, I tried to use the following command to extract masks by class (if I understand well the doc)
!datum transform -t merge_instance_segments -p ./coco_project/ --overwrite source-1 --include-polygons
But it didn't change anything ..
Is it the right way to create semantic masks ? Is it possible with datumaro ?
Thanks for your help !!
PS : Using datumaro==0.3
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