#!/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 1084.5 1428.1888579387187 26.5 56 -gcp 14061.0 1462.9370473537606 27 56 -gcp 14061.0 13059.035933147632 27 55.75 -gcp 1020.75 13032.467757660168 26.5 55.75 88-Daugavpils_1932.jpg 88-Daugavpils_1932.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1084.5 1428.1888579387187\n14061.0 1462.9370473537606\n14061.0 13059.035933147632\n1020.75 13032.467757660168\" | \
  gdaltransform -tps -output_xy 88-Daugavpils_1932.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  88-Daugavpils_1932.vrt 88-Daugavpils_1932.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES 88-Daugavpils_1932.cut.vrt 88-Daugavpils_1932.xyz