#!/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 2931.0 1383.0 23 57.25 -gcp 12369.0 1377.0 23.333333333333332 57.25 -gcp 12423.0 14559.0 23.333333333333332 57 -gcp 2880.0 14556.0 23 57 k_001_ktl2-1-85_033.jpg k_001_ktl2-1-85_033.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2931.0 1383.0\n12369.0 1377.0\n12423.0 14559.0\n2880.0 14556.0" | \
  gdaltransform -tps -output_xy k_001_ktl2-1-85_033.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-1-85_033.vrt k_001_ktl2-1-85_033.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_033.cut.vrt k_001_ktl2-1-85_033.xyz