#!/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 584.25 746.4836202109939 25.072937756728525 58.108140921316895 -gcp 9272.25 741.9348972792893 25.13543832015035 58.10814193216051 -gcp 9283.5 11743.713214880623 25.135440721801196 58.066474653430994 -gcp 584.25 11751.941976679624 25.072940159035635 58.066473643038435 k_001_ktl2-0-132_0001.jpg k_001_ktl2-0-132_0001.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "584.25 746.4836202109939\n9272.25 741.9348972792893\n9283.5 11743.713214880623\n584.25 11751.941976679624" | \
  gdaltransform -tps -output_xy k_001_ktl2-0-132_0001.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-0-132_0001.vrt k_001_ktl2-0-132_0001.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_0001.cut.vrt k_001_ktl2-0-132_0001.xyz