#!/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 0.0 0.0 24.290194313514192 57.0181884402685 -gcp 13905.0 0.0 24.61292172548241 57.01835776140641 -gcp 13905.0 16575.0 24.611663260601695 56.81166558720947 -gcp 0.0 16575.0 24.29047513970623 56.81172765606149 k_001_ktl1-0-140_3.jpg k_001_ktl1-0-140_3.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1572.75 1459.4975013881176\n1569.0 14838.0\n12390.75 14837.247917823432\n12348.0 1467.7504164353138\" | \
  gdaltransform -tps -output_xy k_001_ktl1-0-140_3.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  k_001_ktl1-0-140_3.vrt k_001_ktl1-0-140_3.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES k_001_ktl1-0-140_3.cut.vrt k_001_ktl1-0-140_3.xyz