#!/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 605.25 905.3817626527051 22.385437468548403 57.733091884319215 -gcp 9394.5 910.2216404886562 22.44793792114195 57.733092901799864 -gcp 9405.75 11901.898778359511 22.44794028850821 57.69142564330825 -gcp 604.5 11904.18717277487 22.3854398364342 57.691424626288295 k_001_ktl2-0-132_0015.jpg k_001_ktl2-0-132_0015.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "605.25 905.3817626527051\n9394.5 910.2216404886562\n9405.75 11901.898778359511\n604.5 11904.18717277487" | \
  gdaltransform -tps -output_xy k_001_ktl2-0-132_0015.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-0-132_0015.vrt k_001_ktl2-0-132_0015.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_0015.cut.vrt k_001_ktl2-0-132_0015.xyz