#!/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 689.25 882.9190727373682 24.94794143318541 58.02480434367445 -gcp 9402.0 875.4332315380344 25.010441990423203 58.02480535416924 -gcp 9406.5 11887.541643531371 25.010444380024392 57.983138076457884 -gcp 684.75 11896.692393114936 24.94794382343353 57.98313706641547 k_001_ktl2-0-132_0004.jpg k_001_ktl2-0-132_0004.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "689.25 882.9190727373682\n9402.0 875.4332315380344\n9406.5 11887.541643531371\n684.75 11896.692393114936" | \
  gdaltransform -tps -output_xy k_001_ktl2-0-132_0004.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-0-132_0004.vrt k_001_ktl2-0-132_0004.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_0004.cut.vrt k_001_ktl2-0-132_0004.xyz