#!/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 737.25 912.9049139367019 22.51043838 57.73309392 -gcp 9523.5 908.7164075513604 22.57293884 57.73309493 -gcp 9532.125 11897.292684619655 22.5729412 57.69142768 -gcp 736.125 11905.548618822875 22.51044075 57.69142666 k_001_ktl2-0-132_0022.jpg k_001_ktl2-0-132_0022.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "737.25 912.9049139367019\n9523.5 908.7164075513604\n9532.125 11897.292684619655\n736.125 11905.548618822875" | \
  gdaltransform -tps -output_xy k_001_ktl2-0-132_0022.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-0-132_0022.vrt k_001_ktl2-0-132_0022.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_0022.cut.vrt k_001_ktl2-0-132_0022.xyz