Closed prnr closed 9 months ago
im facing the same issue here the label files are blank, did you find any solution for it?
Same issue over here.
same issue here
I ended up using rectangular bounding boxes. I will consider doing object segmentation later.
I export the dataset into coco format first. Then convert it to yolo using roboflow
im facing the same issue here the label files are blank, did you find any solution for it?
I replaced the work with another tool. I tried many conversion methods with cvat but couldn't solve it.
I ended up using rectangular bounding boxes. I will consider doing object segmentation later.
I ended up doing image segmentation instead.
I exported the masks and converted them to polygons.
Turns out that segmentation is all I needed for my problem.
Workaround: On app.cvat.ai you may now convert polygons to rectangles:
Check and save job, export to YOLO.
My actions before raising this issue
Steps to Reproduce (for bugs)
The imported cocojson file contains only B.box data, so I think it is not a problem that polygon is not recognized. Also, since jobs normally display B.box, there seems to be no problem until import, but I think there is a problem with YOLO 1.1 export. The imported cocojson file is a file exported while working on another platform. Could this be the cause of the problem? (some images have not been annotated)
I've tried a bunch of other coco2yolo tools, but most of them couldn't work normally (no expected results due to env issues etc), and I'm trying to convert them using cvat.
Your Environment
docker version
(e.g. Docker 17.0.05):Docker Desktop 4.16.3