#!/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 1774.876673040153 2362.9855635757913 24.5 58 -gcp 20421.44359464627 2383.888117712382 25 58 -gcp 20410.868068833654 19863.259855635755 25 57.75 -gcp 1633.7848948374763 19851.368128817325 24.5 57.75 Lat075_044_Aloja_1927_400dpi.jpg Lat075_044_Aloja_1927_400dpi.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1774.876673040153 2362.9855635757913\n20421.44359464627 2383.888117712382\n20410.868068833654 19863.259855635755\n1633.7848948374763 19851.368128817325" | \
  gdaltransform -tps -output_xy Lat075_044_Aloja_1927_400dpi.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Lat075_044_Aloja_1927_400dpi.vrt Lat075_044_Aloja_1927_400dpi.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Lat075_044_Aloja_1927_400dpi.cut.vrt Lat075_044_Aloja_1927_400dpi.xyz