#!/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 2889.0 1359.0 25.666666666666668 58 -gcp 16854.0 1329.0 26 58 -gcp 16944.0 21102.0 26 57.75 -gcp 2883.0 21129.0 25.666666666666668 57.75 k_001_ktl2-1-85_79.jpg k_001_ktl2-1-85_79.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2889.0 1359.0\n16854.0 1329.0\n16944.0 21102.0\n2883.0 21129.0" | \
  gdaltransform -tps -output_xy k_001_ktl2-1-85_79.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-1-85_79.vrt k_001_ktl2-1-85_79.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES k_001_ktl2-1-85_79.cut.vrt k_001_ktl2-1-85_79.xyz