How can I transfer the label number to its class name?

[coldtomatojuice]

❓ How to use Detectron2

edit 1: Sorry It's from LXMERT.. I was confused. but anyway It would be very helpful if I can get an answer!

Thanks for your great work!

I got the file "vg_gqa_obj36.tsv" from gdrive
and
among fields, there is objects_id
which i guess indicates a label of an object
then, How can I alias this label to the real class name?
Is there a kind of like LABEL2NAME file?

`"""
Example in obj tsv:

FIELDNAMES = ["img_id", "img_h", "img_w", "objects_id", "objects_conf", "attrs_id", "attrs_conf", "num_boxes", "boxes", "features"]
"""`

'
OrderedDict([('img_id', 'n116329'),
('img_h', 427),
('img_w', 640),
('objects_id',
array([177, 397, 453, 397, 453, 177, 291, 90, 397, 128, 177, 397, 299,
308, 50, 236, 397, 314, 291, 98, 364, 50, 601, 50, 50, 299,
50, 50, 209, 397, 51, 299, 50, 453, 51, 776])),
'
177 -> What?

Thank you!

[airsplay]

The mapping is available here:
https://github.com/airsplay/py-bottom-up-attention/tree/master/demo/data/genome/1600-400-20

which is copied from here:
https://github.com/peteanderson80/bottom-up-attention/tree/master/data/genome/1600-400-20

[coldtomatojuice]

@airsplay Thank you!

[yezhengli-Mr9]

❓ How to use Detectron2

edit 1: Sorry It's from LXMERT.. I was confused. but anyway It would be very helpful if I can get an answer!

Thanks for your great work!

I got the file "vg_gqa_obj36.tsv" from gdrive
and
among fields, there is objects_id
which i guess indicates a label of an object
then, How can I alias this label to the real class name?
Is there a kind of like LABEL2NAME file?

`"""
Example in obj tsv:

FIELDNAMES = ["img_id", "img_h", "img_w", "objects_id", "objects_conf", "attrs_id", "attrs_conf", "num_boxes", "boxes", "features"]
"""`

'
OrderedDict([('img_id', 'n116329'),
('img_h', 427),
('img_w', 640),
('objects_id',
array([177, 397, 453, 397, 453, 177, 291, 90, 397, 128, 177, 397, 299,
308, 50, 236, 397, 314, 291, 98, 364, 50, 601, 50, 50, 299,
50, 50, 209, 397, 51, 299, 50, 453, 51, 776])),
'
177 -> What?

Thank you!

Hi @coldtomatojuice , objects_conf and attrs_conf are just corresponding probability, correct? I follows #6 and I am looking into demo_feature_extraction_attr.ipynb.

[rubencart]

And do you have a mapping from these to COCO categories? :)

[darwann]

And do you have a mapping from these to COCO categories? :)

Did you get these mappings of COCO? :）