#!/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 715.5 866.5960577456968 25.135443112244868 58.02480737433516 -gcp 9429.75 859.6836479733481 25.19794367682741 58.02480838400388 -gcp 9438.75 11873.299972237646 25.197946064470763 57.98314110493618 -gcp 710.25 11876.439061632427 25.135445500543675 57.98314009571945 k_001_ktl2-0-132_0009.jpg k_001_ktl2-0-132_0009.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "715.5 866.5960577456968\n9429.75 859.6836479733481\n9438.75 11873.299972237646\n710.25 11876.439061632427" | \
  gdaltransform -tps -output_xy k_001_ktl2-0-132_0009.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-0-132_0009.vrt k_001_ktl2-0-132_0009.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_0009.cut.vrt k_001_ktl2-0-132_0009.xyz