#!/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 393.0 675.0 22.5 57.5 -gcp 14526.0 816.0 23 57.5 -gcp 14529.0 14085.0 23 57.25 -gcp 303.0 14091.0 22.5 57.25 Lat075_022_Valdemarpils_ca1930.jpg Lat075_022_Valdemarpils_ca1930.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"393.0 675.0\n14526.0 816.0\n14529.0 14085.0\n303.0 14091.0\" | \
  gdaltransform -tps -output_xy Lat075_022_Valdemarpils_ca1930.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Lat075_022_Valdemarpils_ca1930.vrt Lat075_022_Valdemarpils_ca1930.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Lat075_022_Valdemarpils_ca1930.cut.vrt Lat075_022_Valdemarpils_ca1930.xyz