Comments (2)
Hi, if you have a request I can work on it. What is the reason you want to do this? Do you want to convert it to Coco segmentation or do something else with it? I want to understand your total use case
from pylabel.
Yes, the idea is to use yolo to make a partial annotation of images than convert to COCO to make possible the upload on different annotation tool and finish the task
from pylabel.
Related Issues (20)
- Crash when converting an image from COCO to YOLO that has no annotation in it HOT 1
- AttributeError: 'DataFrame' object has no attribute 'append' HOT 4
- is CreateML json format supported? HOT 5
- Error when i transform a COCO dataset to a YOLO dataset with segmentation = true and cat_id_index = 0 HOT 3
- Annotation ids in '/content/test/img/coco128.json' are not unique! HOT 1
- StratifiedGroupShuffleSplit results in Empty DataFrame HOT 3
- yolo class label is unsorted HOT 1
- cat_id_index for yolov5 to coco format HOT 1
- how to edit yolo label with imported txt labels ? HOT 1
- Conversion from coco to YoloV5 fails HOT 2
- add in tqdm for progress tracking HOT 5
- vscode compatibility HOT 2
- Dataset splitting & negative samples annotation type importer does not work correctly HOT 1
- I want extract a specific category in coco stuff dataset HOT 6
- Class categories not correct after conversion from coco to yolo format. HOT 3
- Add tqdm to setup.py HOT 2
- Update Readme examples HOT 1
- Issue using both segmentation=True and cat_id_index=0 HOT 2
- YOLOv5 class index starts from 1 HOT 4
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from pylabel.