#!/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 1923.0 1713.0 24.333333333333332 55 -gcp 22053.0 1641.0 26.333333333333332 55 -gcp 22311.0 19146.0 26.333333333333332 54 -gcp 1647.0 19194.0 24.333333333333332 54 1943_300K_Osteuropa_T55_Wilna_mapywig_COMP.jpg 1943_300K_Osteuropa_T55_Wilna_mapywig_COMP.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1923.0 1713.0\n22053.0 1641.0\n22311.0 19146.0\n1647.0 19194.0" | \
  gdaltransform -tps -output_xy 1943_300K_Osteuropa_T55_Wilna_mapywig_COMP.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  1943_300K_Osteuropa_T55_Wilna_mapywig_COMP.vrt 1943_300K_Osteuropa_T55_Wilna_mapywig_COMP.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES 1943_300K_Osteuropa_T55_Wilna_mapywig_COMP.cut.vrt 1943_300K_Osteuropa_T55_Wilna_mapywig_COMP.xyz