#!/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 24.039854659649812 57.02155730602647 -gcp 13767.0 0.0 24.364004804859597 57.020086636497204 -gcp 13767.0 16821.0 24.361344153346224 56.808087065517796 -gcp 0.0 16821.0 24.0401982608104 56.80917730366054 k_001_ktl1-0-140_2.jpg k_001_ktl1-0-140_2.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1561.5 1684.4975013881178\n1576.5 8290.50249861188\n1559.25 14887.495835646861\n6914.25 14873.261660188782\n12270.0 14817.0\n12186.0 1596.0\" | \
  gdaltransform -tps -output_xy k_001_ktl1-0-140_2.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  k_001_ktl1-0-140_2.vrt k_001_ktl1-0-140_2.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_2.cut.vrt k_001_ktl1-0-140_2.xyz