#!/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 342.0 3411.0 23.5 57 -gcp 14664.0 3273.0 24 57 -gcp 14844.0 16395.0 24 56.75 -gcp 435.0 16524.0 23.5 56.75 Lat075_032_Sloka_ca1930.jpg Lat075_032_Sloka_ca1930.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"327.0 789.0\n14628.0 654.0\n14844.0 16395.0\n435.0 16524.0\" | \
  gdaltransform -tps -output_xy Lat075_032_Sloka_ca1930.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Lat075_032_Sloka_ca1930.vrt Lat075_032_Sloka_ca1930.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Lat075_032_Sloka_ca1930.cut.vrt Lat075_032_Sloka_ca1930.xyz