#!/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 681.0 929.4485165794067 22.260438939641173 57.69142259158196 -gcp 9481.5 928.6871727748692 22.32293938681169 57.69142360904582 -gcp 9488.25 11922.048865619545 22.322941748681565 57.649756351560214 -gcp 680.25 11928.939790575916 22.260441302023537 57.649755334557824 k_001_ktl2-0-132_0013.jpg k_001_ktl2-0-132_0013.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "681.0 929.4485165794067\n9481.5 928.6871727748692\n9488.25 11922.048865619545\n680.25 11928.939790575916" | \
  gdaltransform -tps -output_xy k_001_ktl2-0-132_0013.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-0-132_0013.vrt k_001_ktl2-0-132_0013.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_0013.cut.vrt k_001_ktl2-0-132_0013.xyz