#!/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 465.0 642.0 25.5 56.75 -gcp 14883.0 828.0 26 56.75 -gcp 14772.0 13950.0 26 56.5 -gcp 261.0 13758.0 25.5 56.5 Lat075_067_Plavinas_ca1930.jpg Lat075_067_Plavinas_ca1930.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"465.0 642.0\n14883.0 828.0\n14772.0 13950.0\n261.0 13758.0\" | \
  gdaltransform -tps -output_xy Lat075_067_Plavinas_ca1930.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Lat075_067_Plavinas_ca1930.vrt Lat075_067_Plavinas_ca1930.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Lat075_067_Plavinas_ca1930.cut.vrt Lat075_067_Plavinas_ca1930.xyz