ovidijusparsiunas / myvision Goto Github PK

Hello!

Do you have plans on implementing a support for COCO RLE format annotations and not only polygons?

{"segmentation": {"counts": [], "size": []}}

Also if it is not your priorities, any suggestions how would you go to implement such a feature in terms of your apps architecture?

Thank you for all the work till now.

Reproduce:

1. Load a 512x512 image and accurately label a very small object with full zoom.
2. Export (VOC XML or Yolo Text)
3. Open a new tab and reimport

Can i load a custom trained model to autodetect labels as COCO-SSD?

Thank you

when i export, i got unwanted classes like: dog, cat etc. how to mannually set my own classes ?

Sometimes when I select a new image and accidentaly drag and drop, the application tends to freeze.

Noticed this when pycocotools started complaining.

Data format page for COCO (section 1 - Object Detection) mentions that for detection tasks, segmentation field in annotation object must be either RLE or [polygon]:

"segmentation": RLE or [polygon],

Looks like a polygon itself is a list of vertices (however, i could not find any specification on that).

If we take a look at the annotated picture and its json annotation file, we see that segmentation field for annotation with id=0 (made with Bounding box tool) is a list of floats, but for annotation with id=1 (made with Polygon tool) is a list of lists.

Here is the zip with json file - the result of COCO JSON import.
annotations.zip

Could you check this out?

appBundle.2404691effe4ecfa2988.js:2 Uncaught TypeError: Cannot read properties of null (reading 'addEventListener')

I auto-annotated a sample image using COCO-SSD pretrained model.
The default class numbers are 0,1,2 for dog, bicycle and car.

How can I change the default class numbers ?