#!/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 27.527693668204023 57.35328534901017 -gcp 14340.0 0.0 27.86585945745984 57.35375225478245 -gcp 14340.0 16686.0 27.86573722460833 57.142216783422974 -gcp 0.0 16686.0 27.529735123581325 57.14201459965991 263-Vilaka_1922.jpg 263-Vilaka_1922.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"2070.0 1575.0\n2027.25 8159.626873958912\n2010.9375 14737.6867712382\n12677.53125 14751.375208217656\n12679.5 8179.8777068295385\n12681.375 1598.8123958911715\" | \
  gdaltransform -tps -output_xy 263-Vilaka_1922.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  263-Vilaka_1922.vrt 263-Vilaka_1922.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES 263-Vilaka_1922.cut.vrt 263-Vilaka_1922.xyz