#!/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 622.7906309751435 894.4280955024985 22.44793555 57.77476016 -gcp 9395.396271510515 891.1857301499167 22.51043601 57.77476118 -gcp 9403.688336520077 11896.626179900055 22.51043838 57.73309392 -gcp 619.6854684512429 11903.441143808996 22.44793793 57.7330929 k_001_ktl2-0-132_0018.jpg k_001_ktl2-0-132_0018.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "622.7906309751435 894.4280955024985\n9395.396271510515 891.1857301499167\n9403.688336520077 11896.626179900055\n619.6854684512429 11903.441143808996" | \
  gdaltransform -tps -output_xy k_001_ktl2-0-132_0018.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-0-132_0018.vrt k_001_ktl2-0-132_0018.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_0018.cut.vrt k_001_ktl2-0-132_0018.xyz