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Do you have a plan to release FastSAM-n by training with YOLO-v8-n

Open sunwoo76 opened this issue 2 years ago • 6 comments

Hello :)

I wonder that you have a plan to release the version of FastSAM-n with YOLOv8-n structure which is the smallest version of YOLOv8

Thank you.

sunwoo76 avatar Sep 15 '23 06:09 sunwoo76

Currently, we think YOLOv8n is too small to perform well.

zxDeepDiver avatar Sep 20 '23 06:09 zxDeepDiver

Currently, we think YOLOv8n is too small to perform well.

Thanks for replying the question :)

Additionally, is it possible to train the FastSAM with YOLOv8n with currently released code in this repository?

I'm trying to train the model but, the released code seems to be fitted to the COCO training. ( SA-1b's lable format is "json" but, the label is processed with "txt" format in the current training code.)

Thank you :)!

sunwoo76 avatar Sep 20 '23 07:09 sunwoo76

Yes, convert the json to yolo's txt format.

zxDeepDiver avatar Sep 21 '23 02:09 zxDeepDiver

Yes, convert the json to yolo's txt format.

In addition, Should the converted segmentation coordinates be normalized?

sunwoo76 avatar Sep 25 '23 06:09 sunwoo76

Yes, convert the json to yolo's txt format.

How to convert the json to yolo's txt format?

gahunghsu avatar Jan 03 '24 06:01 gahunghsu

Yes, convert the json to yolo's txt format.

How to convert the json to yolo's txt format?

convert compressed RLE format to normalized xy polygon format

sunwoo76 avatar Jan 03 '24 23:01 sunwoo76