Remote Sensing Processor 0.2.2

This update reworks semantic segmentation functions and improves processing speed and stability

• Now uses xarray, dask and rioxarray instead of numpy and rasterio
• Now stores tiles in zarr containers instead of hdf5
• Syntax, inputs and outputs of all segmentation functions are reworked
• Custom kwargs can be used when initialising models
• Augmentations can be applied while training with augment arg
• Dataset size can be increased by repeating it n times while training with repeat arg
• Raster histograms now can be matched while creating mosaic using match_hist arg
• Specific value in a raster can be replaced using replace_value function
• Nodata value in a raster can be replaced using replace_nodata function
• Vector file can be rasterized using rasterize function
• Sentinel2 now can be upscaled using resampling algorithm. superres arg is renamed to upscale, resample arg added
• Sentinel2 now can be normalized using normalize arg
• Landsat thermal bands now can be normalized using normalize_t arg
• clipper argument is renamed to clip
• projection argument is renamed to crs