@@ -41,16 +41,30 @@ You can find more detailled instructions in the documentation.
## Documentation
Documentation is available at ...
Documentation is available [here](https://iamap.readthedocs.io/en/latest/).
## FAQ
See FAQ at ...
### How does it handle more than three band images with pretrained models ?
## Aknowledgments
Our models are created using the `timm` librairy, which is widely used in deep learning research. [Here](https://timm.fast.ai/models#How-is-timm-able-to-use-pretrained-weights-and-handle-images-that-are-not-3-channel-RGB-images?) is the doc explaining how they handle non-RGB images when loading pre-trained models.
### How can I avoid tiling effects ?
You can create an overlap by selecting a stride smaller than the sampling size of your raster. In the advanced options, you can change how the tiles will be merged afterwards.
### How can I obtain a better resolution ?
This plugin was developped with ViTs in mind as template models. These have spatialy explicit features and divide the image into patches of typially `16x16` or `14x14` pixels. By having a smaller sampling size, you will have better resolution but with less context for the model to work with.
The feature extraction algorithm was inspired by the [Geo-SAM](https://github.com/coolzhao/Geo-SAM) plugin. The dependencies installation popup was modified from code by [Deepness plugin](https://github.com/PUTvision/qgis-plugin-deepness).
## Contributing
Feel free to fill an issue on GitHub or submit a PR. More detailled environment setup to come.
## Aknowledgments
The feature extraction algorithm was inspired by the [Geo-SAM](https://github.com/coolzhao/Geo-SAM) plugin. The dependencies installation popup was modified from code by [Deepness](https://github.com/PUTvision/qgis-plugin-deepness) plugin.
