Fine Tuning on our custom dataset

[Arnab1181412]

Hi I have image pairs for my own data and I want to fine tune using this dataset. There are around 500 images of 255 X 255 size. How do I do it?
Thanks in advance

[MengyangPu]

@Arnab1181412
The process is the same as the training process:
1 Data augment, and generate a train_pair.txt of your data.
2 Modify the path in the configuration file.
3 Adjust parameters, e.g., learning rate, and batch size.

[Arnab1181412]

Thank you for your help. Just had one question: should I change the path at this line <https://github.com/MengyangPu/EDTER/blob/3fe76f3d938206ef9dc8b857a9767b8cd3d28fc7/configs/bsds/EDTER_BIMLA_320x320_80k_bsds_bs_8.py#L3C66-L3C66>. ? Regards

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On Tue, Jan 16, 2024 at 8:36 AM Mengyang Pu ***@***.***> wrote: The process is the same as the training process <https://github.com/MengyangPu/EDTER?tab=readme-ov-file#2-training>: 1 Data augment, and generate a train_pair.txt <https://github.com/MengyangPu/EDTER/blob/main/data/BSDS/ImageSets/train_pair.txt> of your data. 2 Modify the path in the configuration file <https://github.com/MengyangPu/EDTER/blob/main/configs/bsds/EDTER_BIMLA_320x320_80k_bsds_bs_8.py> . 3 Adjust parameters, e.g., learning rate, and batch size. — Reply to this email directly, view it on GitHub <#91 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ASBBP455YEFY6KNQ2RPCEULYOXVEHAVCNFSM6AAAAABB3UEDN2VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQOJTGAYDGOBTGE> . You are receiving this because you authored the thread.Message ID: ***@***.***>

[MengyangPu]

Yes, and you could create your dataset.py based on configs/base/datasets/bsds.py.

[Arnab1181412]

Thank you for your help. Let me try this. I will get back to you if I have any questions. Regards

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On Tue, Jan 16, 2024 at 6:29 PM Mengyang Pu ***@***.***> wrote: Yes, and you could create your dataset.py based on configs/*base* /datasets/bsds.py <https://github.com/MengyangPu/EDTER/blob/3fe76f3d938206ef9dc8b857a9767b8cd3d28fc7/configs/_base_/datasets/bsds.py> . — Reply to this email directly, view it on GitHub <#91 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ASBBP4ZHWUQMJFLGVAUHRA3YOZ2U3AVCNFSM6AAAAABB3UEDN2VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQOJTGY4TQNJSGA> . You are receiving this because you were mentioned.Message ID: ***@***.***>

[Arnab1181412]

Hi I tried following the steps you told me but it didn't work. I did it on a kaggle notebook and the linux commands are not working. That is the first training process 2.1. On Wed, Jan 17, 2024 at 12:54 AM Arnab Samanta < ***@***.***> wrote:

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Thank you for your help. Let me try this. I will get back to you if I have any questions. Regards On Tue, Jan 16, 2024 at 6:29 PM Mengyang Pu ***@***.***> wrote: > Yes, and you could create your dataset.py based on configs/*base* > /datasets/bsds.py > <https://github.com/MengyangPu/EDTER/blob/3fe76f3d938206ef9dc8b857a9767b8cd3d28fc7/configs/_base_/datasets/bsds.py> > . > > — > Reply to this email directly, view it on GitHub > <#91 (comment)>, > or unsubscribe > <https://github.com/notifications/unsubscribe-auth/ASBBP4ZHWUQMJFLGVAUHRA3YOZ2U3AVCNFSM6AAAAABB3UEDN2VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTQOJTGY4TQNJSGA> > . > You are receiving this because you were mentioned.Message ID: > ***@***.***> >