#!/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 934.5 1498.6266016713091 26.5 56.75 -gcp 13898.670788662916 1596.2901276191985 27 56.75 -gcp 13876.235741859633 13355.782017485933 27 56.5 -gcp 831.0 13288.660027855154 26.5 56.5 85-Varaklani_1933.jpg 85-Varaklani_1933.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"934.5 1498.6266016713091\n13898.670788662916 1596.2901276191985\n13876.235741859633 13355.782017485933\n831.0 13288.660027855154\" | \
  gdaltransform -tps -output_xy 85-Varaklani_1933.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  85-Varaklani_1933.vrt 85-Varaklani_1933.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES 85-Varaklani_1933.cut.vrt 85-Varaklani_1933.xyz