#!/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 852.7332695984704 1404.8262076624096 26 56 -gcp 15556.77724665392 1422.3847862298721 26.5 56 -gcp 15588.392925430211 18009.317323709052 26.5 55.68333333 -gcp 750.3078393881453 17992.865630205444 26 55.68333333 LAT075_079_Ilukste_1933_300dpi.jpg LAT075_079_Ilukste_1933_300dpi.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "852.7332695984704 1404.8262076624096\n15556.77724665392 1422.3847862298721\n15588.392925430211 18009.317323709052\n750.3078393881453 17992.865630205444" | \
  gdaltransform -tps -output_xy LAT075_079_Ilukste_1933_300dpi.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LAT075_079_Ilukste_1933_300dpi.vrt LAT075_079_Ilukste_1933_300dpi.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LAT075_079_Ilukste_1933_300dpi.cut.vrt LAT075_079_Ilukste_1933_300dpi.xyz