#!/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 1956.0 2521.085972850679 24.837216666666666 56.75 -gcp 18246.0 2535.9773755656106 27.837216666666666 56.75 -gcp 18402.0 12474.191553544493 27.837216666666666 55.75 -gcp 1821.0 12568.450980392157 24.837216666666666 55.75 NLL241_Latvijas_satiksmes_ceļu_karte_1928-k_001_ktl1-3-124_4.jpg NLL241_Latvijas_satiksmes_ceļu_karte_1928-k_001_ktl1-3-124_4.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "843.0 13843.500754147812\n1003.5 1355.997737556561\n20904.0 1337.8536953242835\n20986.5 13702.520361990952" | \
  gdaltransform -tps -output_xy NLL241_Latvijas_satiksmes_ceļu_karte_1928-k_001_ktl1-3-124_4.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  NLL241_Latvijas_satiksmes_ceļu_karte_1928-k_001_ktl1-3-124_4.vrt NLL241_Latvijas_satiksmes_ceļu_karte_1928-k_001_ktl1-3-124_4.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES NLL241_Latvijas_satiksmes_ceļu_karte_1928-k_001_ktl1-3-124_4.cut.vrt NLL241_Latvijas_satiksmes_ceļu_karte_1928-k_001_ktl1-3-124_4.xyz