#!/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 0.0 0.0 23.272031197529778 57.00213292509276 -gcp 37206.0 0.0 23.579572861562234 57.00198510129332 -gcp 37206.0 40395.0 23.580317646387815 56.8212481329024 -gcp 0.0 40395.0 23.272573416883947 56.822240654126055 113+127+128_6.7.17+16.3.17+Januar1917.jpg 113+127+128_6.7.17+16.3.17+Januar1917.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "561.0 474.0\n36849.0 444.0\n36759.0 19188.0\n18678.0 19242.0\n18702.0 37941.0\n501.0 37911.0" | \
  gdaltransform -tps -output_xy 113+127+128_6.7.17+16.3.17+Januar1917.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  113+127+128_6.7.17+16.3.17+Januar1917.vrt 113+127+128_6.7.17+16.3.17+Januar1917.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES 113+127+128_6.7.17+16.3.17+Januar1917.cut.vrt 113+127+128_6.7.17+16.3.17+Januar1917.xyz