#!/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 612.0 878.502359800111 25.135440717282858 58.06647465300885 -gcp 9318.0 880.6886451971127 25.197941282522688 58.06647566312904 -gcp 9321.0 11892.072043309272 25.19794367682741 58.02480838400388 -gcp 611.25 11907.195724597446 25.135443112244868 58.02480737433516 k_001_ktl2-0-132_0007.jpg k_001_ktl2-0-132_0007.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "612.0 878.502359800111\n9318.0 880.6886451971127\n9321.0 11892.072043309272\n611.25 11907.195724597446" | \
  gdaltransform -tps -output_xy k_001_ktl2-0-132_0007.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-0-132_0007.vrt k_001_ktl2-0-132_0007.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_0007.cut.vrt k_001_ktl2-0-132_0007.xyz