#!/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 645.0 682.8781232648529 25.010441990423203 58.02480535416924 -gcp 9357.0 676.8747917823431 25.072942550109904 58.024806364389875 -gcp 9373.5 11682.084952803998 25.072944939061333 57.983139086226274 -gcp 645.0 11692.878956135479 25.010444380024392 57.983138076457884 k_001_ktl2-0-132_0005.jpg k_001_ktl2-0-132_0005.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "645.0 682.8781232648529\n9357.0 676.8747917823431\n9373.5 11682.084952803998\n645.0 11692.878956135479" | \
  gdaltransform -tps -output_xy k_001_ktl2-0-132_0005.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-0-132_0005.vrt k_001_ktl2-0-132_0005.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_0005.cut.vrt k_001_ktl2-0-132_0005.xyz