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Training on Custom Data

Open DecentMakeover opened this issue 6 years ago • 5 comments

Hi , Thanks for sharing your work, Could you please post an some guidelines/steps to train on custom data?

Thanks

DecentMakeover avatar Aug 01 '19 09:08 DecentMakeover

Yes, I am also struggling to make this work on my own dataset

thekeviv avatar Aug 05 '19 07:08 thekeviv

Did you have any success training on your own data?

AndrejHafner avatar Dec 10 '19 21:12 AndrejHafner

ended up using this, https://github.com/CSAILVision/semantic-segmentation-pytorch. This has a HRNet Backbone support.

DecentMakeover avatar Dec 11 '19 05:12 DecentMakeover

@sunke123

How to do training from scratch on a custom dataset (with base model without any pretraining on CityScapes or any other dataset) with this library for HRNETV2-Small-W18?

I was hoping I don't have to use a separate library to achieve this.

Thanks!

InternetMaster1 avatar May 26 '20 06:05 InternetMaster1

@InternetMaster1

If you are using this file, then it doesn't need any pretrained network. Every time you run the code, it runs from scratch.

ghost avatar Aug 08 '20 11:08 ghost