#!/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 618.8264818355641 911.3578567462521 22.38543983 57.69142463 -gcp 9407.311424474188 902.7139089394781 22.44794028 57.69142564 -gcp 9419.439770554494 11908.623681288173 22.44794264 57.64975838 -gcp 618.939292543021 11915.441143808996 22.38544219 57.64975737 k_001_ktl2-0-132_0017.jpg k_001_ktl2-0-132_0017.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "618.8264818355641 911.3578567462521\n9407.311424474188 902.7139089394781\n9419.439770554494 11908.623681288173\n618.939292543021 11915.441143808996" | \
  gdaltransform -tps -output_xy k_001_ktl2-0-132_0017.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-0-132_0017.vrt k_001_ktl2-0-132_0017.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_0017.cut.vrt k_001_ktl2-0-132_0017.xyz