#!/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 655.875 776.7620072182121 25.135438315631767 58.10814193174018 -gcp 9349.125 769.2145335924486 25.19793888153071 58.10814294231131 -gcp 9360.75 11778.095780122154 25.197941282522688 58.06647566312904 -gcp 656.25 11788.693225985564 25.135440717282858 58.06647465300885 k_001_ktl2-0-132_0002.jpg k_001_ktl2-0-132_0002.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "655.875 776.7620072182121\n9349.125 769.2145335924486\n9360.75 11778.095780122154\n656.25 11788.693225985564" | \
  gdaltransform -tps -output_xy k_001_ktl2-0-132_0002.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-0-132_0002.vrt k_001_ktl2-0-132_0002.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_0002.cut.vrt k_001_ktl2-0-132_0002.xyz