#!/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 1122.0 1977.0 24.076666666666668 57 -gcp 29322.0 1848.0 24.576666666666668 57 -gcp 29520.0 19266.0 24.576666666666668 56.833333333333336 -gcp 1068.0 19449.0 24.076666666666668 56.833333333333336 99_110_Riga_Salaspils_1925_1_50K.jpg 99_110_Riga_Salaspils_1925_1_50K.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"15216.0 1944.0200111172876\n8163.0 1983.0133407448582\n1123.125 1976.6095747637578\n1066.5 19447.50917176209\n8193.0 19449.016675931074\n15285.0 19389.019177320733\n29520.0 19261.59088382435\n29325.75 1842.0008337965537\" | \
  gdaltransform -tps -output_xy 99_110_Riga_Salaspils_1925_1_50K.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  99_110_Riga_Salaspils_1925_1_50K.vrt 99_110_Riga_Salaspils_1925_1_50K.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES 99_110_Riga_Salaspils_1925_1_50K.cut.vrt 99_110_Riga_Salaspils_1925_1_50K.xyz