How to use the annotation from tools other than labelme

[arunmp2004]

Hi, Thank you Ayoola Olafenwa and team for the continued support and for this beneficial library to speed up custom training from scratch.

Which section of the code/what changes need to be made, if instead of individual 'jsons' for each image from 'LabelMe', annotated coco for the overall dataset (e.g. from coco annotator) need to be used with PixelLib for training?

This primarily can skip one step of accumulating all the individual jsons' from LabelMe to one json.

Thanks,
Arun

[ayoolaolafenwa]

Thank you @arunmp2004. I am presently busy with some commitments and when I have the time I will work on it.

[arunmp2004]

Thank you for the response, Ayoola.

[khanfarhan10]

Thanks for the response @arunmp2004! How to train from a single JSON file from VGG Image Annotator Tool? @ayoolaolafenwa ??

[ayoolaolafenwa]

Thanks for the response @arunmp2004! How to train from a single JSON file from VGG Image Annotator Tool? @ayoolaolafenwa ??

PixelLib does not support VGG Image Annotator. Annotate your dataset with labelme. Check the tutorial on how to use labelme.

[kavi0786]

Hi mam, How we can draw loss vs epoch and mAP vs epoch using with pixel lib custom training instance segmentation model.

[ayoolaolafenwa]

Hi mam, How we can draw loss vs epoch and mAP vs epoch using with pixel lib custom training instance segmentation model.

@kavi0786 I have not provided that feature and I will let you know when PixelLib supports it.

[kavi0786]

Thank you for your response mam.. Regards, Kavitha

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On Mon, May 31, 2021 at 3:31 PM ayoolaolafenwa ***@***.***> wrote: Hi mam, How we can draw loss vs epoch and mAP vs epoch using with pixel lib custom training instance segmentation model. @kavi0786 <https://github.com/kavi0786> I have not provided that feature and I will let you know when PixelLib supports it. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#27 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AJ73CPAHAKYXAEKT77SYKCTTQNM6DANCNFSM4VC4R3UQ> .