#!/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 1143.0 1629.0 24 57 -gcp 20274.0 1659.0 24.5 57 -gcp 20292.0 19128.0 24.5 56.75 -gcp 1026.0 19131.0 24 56.75 LAT075_039_Riga_1929_300dpi.jpg LAT075_039_Riga_1929_300dpi.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1143.0 1629.0\n20274.0 1659.0\n20292.0 19128.0\n1026.0 19131.0\" | \
  gdaltransform -tps -output_xy LAT075_039_Riga_1929_300dpi.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  LAT075_039_Riga_1929_300dpi.vrt LAT075_039_Riga_1929_300dpi.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LAT075_039_Riga_1929_300dpi.cut.vrt LAT075_039_Riga_1929_300dpi.xyz