#!/bin/bash

GDAL_TILE_PROCESSES=16
GDAL_TILE_ZOOMS=8-14
GDAL_SAMPLING_WARP=cubic
GDAL_SAMPLING_TILE=antialias

# Create virtual dataset with coordinates
gdal_translate -of VRT -a_srs EPSG:4326 -outsize 300% 300% -gcp 2289.0 3267.0 25.75 55.833333333333336 -gcp 24456.0 3285.0 26 55.833333333333336 -gcp 24438.0 29667.0 26 55.666666666666664 -gcp 2175.0 29670.0 25.75 55.666666666666664 mapster/RKKA050_N-35-4-D_Dusyaty`_IX-1931_UInd-VAC9619-000398@1734445.jpg RKKA050_N-35-4-D_Dusyaty`_IX-1931_UInd-VAC9619-000398@1734445.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2289.0 3267.0\n24456.0 3285.0\n24438.0 29667.0\n2175.0 29670.0" | \
  gdaltransform -tps -output_xy RKKA050_N-35-4-D_Dusyaty`_IX-1931_UInd-VAC9619-000398@1734445.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  RKKA050_N-35-4-D_Dusyaty`_IX-1931_UInd-VAC9619-000398@1734445.vrt RKKA050_N-35-4-D_Dusyaty`_IX-1931_UInd-VAC9619-000398@1734445.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES RKKA050_N-35-4-D_Dusyaty`_IX-1931_UInd-VAC9619-000398@1734445.cut.vrt RKKA050_N-35-4-D_Dusyaty`_IX-1931_UInd-VAC9619-000398@1734445.xyz