#!/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 3359.25 28309.77015008338 26.333333333333332 56.25 -gcp 3361.5 5863.59046692607 27.333333333333332 56.25 -gcp 23000.230626607357 5769.543454260678 27.333333333333332 55.75 -gcp 23010.75 28492.749722067812 26.333333333333332 55.75 Latvijas_un_Lietuvas_topogr._kartes__Daugavpils_un_apkartne__6828_A1_L32_9_02.JPG Latvijas_un_Lietuvas_topogr._kartes__Daugavpils_un_apkartne__6828_A1_L32_9_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "13180.5 5815.5\n3360.0 5862.0\n3384.0 17094.00333148251\n3360.0 28311.0\n13177.5 28393.495835646863\n23010.0 28491.0\n23049.0 17105.986674069958\n23001.0 5769.0" | \
  gdaltransform -tps -output_xy Latvijas_un_Lietuvas_topogr._kartes__Daugavpils_un_apkartne__6828_A1_L32_9_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Latvijas_un_Lietuvas_topogr._kartes__Daugavpils_un_apkartne__6828_A1_L32_9_02.vrt Latvijas_un_Lietuvas_topogr._kartes__Daugavpils_un_apkartne__6828_A1_L32_9_02.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Latvijas_un_Lietuvas_topogr._kartes__Daugavpils_un_apkartne__6828_A1_L32_9_02.cut.vrt Latvijas_un_Lietuvas_topogr._kartes__Daugavpils_un_apkartne__6828_A1_L32_9_02.xyz