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satellite-image-deep-learning · Apr 22, 2021 · eabb64e · eabb64e
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@@ -578,6 +578,7 @@ A conceptually simple approach to serving up deep learning model inference code
 * [tiler](https://github.com/nuno-faria/tiler) -> split images into tiles and merge tiles into a large image
 * [felicette](https://github.com/plant99/felicette) -> Satellite imagery for dummies. Generate JPEG earth imagery from coordinates/location name with publicly available satellite data.
 * [imagehash](https://github.com/JohannesBuchner/imagehash) -> Image hashes tell whether two images look nearly identical.
+* [xbatcher](https://github.com/pangeo-data/xbatcher) -> Xbatcher is a small library for iterating xarray DataArrays in batches. The goal is to make it easy to feed xarray datasets to machine learning libraries such as Keras.
 
 ## Python deep learning toolsets
 * [torchvision-enhance](https://github.com/sshuair/torchvision-enhance) -> Enhance PyTorch vision for semantic segmentation, multi-channel images and TIF file