#!/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 639.0 970.7661021654635 22.135438046984536 57.69142055531654 -gcp 9420.75 958.6807329261522 22.19793848927376 57.69142157322499 -gcp 9433.5 11951.389922265409 22.197940852165846 57.649754316660044 -gcp 633.75 11957.442393114936 22.135440410383485 57.649753299213245 k_001_ktl2-0-132_0011.jpg k_001_ktl2-0-132_0011.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "639.0 970.7661021654635\n9420.75 958.6807329261522\n9433.5 11951.389922265409\n633.75 11957.442393114936" | \
  gdaltransform -tps -output_xy k_001_ktl2-0-132_0011.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-0-132_0011.vrt k_001_ktl2-0-132_0011.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_0011.cut.vrt k_001_ktl2-0-132_0011.xyz