py-bottom-up-attention
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How can I transfer the label number to its class name?
❓ 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!
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
@airsplay Thank you!
❓ 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.
And do you have a mapping from these to COCO categories? :)
And do you have a mapping from these to COCO categories? :)
Did you get these mappings of COCO? :)