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AstilePeter / HSI-PNG-Semantic-Segmentation-UNet

This repository contains an object detection model based on the YOLOv5 architecture, designed to accurately localize, count, and classify objects in images or videos. Built upon the state-of-the-art YOLOv5 framework, this model offers robust and efficient object detection capabilities for various applications.
MIT License
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HSI Data File Structure #1

Closed JacCubk closed 1 year ago

JacCubk commented 1 year ago

Hello!

Thank you for contributing such a great work.

I'm very interested in it. Unfortunately, I am unable to download the HSI data from the link provided. I hope to use this network to train my own HSI dataset, but as a beginner, I'm unsure about how to prepare the data files. I have a 512ｘ512ｘ101 HSI dataset.

Could you please guide me on how to prepare the data to make it work?

Thank you! Wish you more success!

AstilePeter commented 1 year ago

Hey,

I think you can upscale the number of channels from 101 to 204. Then I think the model will work.

JacCubk commented 1 year ago

Thank‘s a lot!