#!/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 624.0 881.3882565241532 25.072942554651842 58.02480636481817 -gcp 9333.0 874.6836479733481 25.135443116762968 58.02480737475911 -gcp 9348.0 11880.107856746252 25.13544550506156 57.983140096145235 -gcp 624.0 11895.1973903387 25.07294494360305 57.98313908665643 k_001_ktl2-0-132_0008.jpg k_001_ktl2-0-132_0008.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "624.0 881.3882565241532\n9333.0 874.6836479733481\n9348.0 11880.107856746252\n624.0 11895.1973903387" | \
  gdaltransform -tps -output_xy k_001_ktl2-0-132_0008.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-0-132_0008.vrt k_001_ktl2-0-132_0008.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_0008.cut.vrt k_001_ktl2-0-132_0008.xyz