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Update README.md
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README.md
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@@ -32,5 +32,8 @@ The model follows the [original mae repo](https://github.com/facebookresearch/ma
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2. replace 2D positional embed with 3D positional embed;
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3. replace 2D patchify and unpatchify with 3D.
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### Finetuning examples
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Two examples of finetuning the model for image segmentation (i.e. flood detection and burn scars detection) using the mmsegmentation library are available through [github](https://github.com/NASA-IMPACT/hls-foundation-os/tree/main/fine-tuning-examples).
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2. replace 2D positional embed with 3D positional embed;
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3. replace 2D patchify and unpatchify with 3D.
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### Inference
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There is an inference script (`Prithvi_run_inference.py`) that allows to run the image reconstruction on a set of three HLS images. These images have to be geotiff format, including the channels described above (Blue, Green, Red, Narrow NIR, SWIR, SWIR 2) in reflectance units.
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### Finetuning examples
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Two examples of finetuning the model for image segmentation (i.e. flood detection and burn scars detection) using the mmsegmentation library are available through [github](https://github.com/NASA-IMPACT/hls-foundation-os/tree/main/fine-tuning-examples).
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