#!/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 411.0 723.0 26.5 56 -gcp 15132.0 858.0 27 56 -gcp 15060.0 13998.0 27 55.75 -gcp 222.0 13857.0 26.5 55.75 LAT075_088_Daugavpils_1924_300dpi.jpg LAT075_088_Daugavpils_1924_300dpi.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"411.0 723.0\n15132.0 858.0\n15060.0 13998.0\n222.0 13857.0\" | \
  gdaltransform -tps -output_xy LAT075_088_Daugavpils_1924_300dpi.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  LAT075_088_Daugavpils_1924_300dpi.vrt LAT075_088_Daugavpils_1924_300dpi.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LAT075_088_Daugavpils_1924_300dpi.cut.vrt LAT075_088_Daugavpils_1924_300dpi.xyz