#!/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 603.0 867.259855635758 25.447945959619908 58.02481241988927 -gcp 9324.75 868.6865630205441 25.510446536430212 58.024813428157216 -gcp 9324.75 11877.934897279289 25.510448920753685 57.983146146831366 -gcp 600.75 11877.937395891171 25.447948344613028 57.983145139014795 k_001_ktl2-0-132_0010.jpg k_001_ktl2-0-132_0010.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "603.0 867.259855635758\n9324.75 868.6865630205441\n9324.75 11877.934897279289\n600.75 11877.937395891171" | \
  gdaltransform -tps -output_xy k_001_ktl2-0-132_0010.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-0-132_0010.vrt k_001_ktl2-0-132_0010.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES k_001_ktl2-0-132_0010.cut.vrt k_001_ktl2-0-132_0010.xyz