#!/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 4584.0 1854.0 26.833333333333332 56 -gcp 26790.0 1908.0 27.333333333333332 56 -gcp 26835.0 21684.0 27.333333333333332 55.75 -gcp 4485.0 21672.0 26.833333333333332 55.75 wgs84/P25_S44_KRASLAW_(Kraslava)_1933_600dpi_BCUJ297029-284268.jpg P25_S44_KRASLAW_(Kraslava)_1933_600dpi_BCUJ297029-284268.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4584.0 1854.0\n26790.0 1908.0\n26835.0 21684.0\n4485.0 21672.0" | \
  gdaltransform -tps -output_xy P25_S44_KRASLAW_(Kraslava)_1933_600dpi_BCUJ297029-284268.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  P25_S44_KRASLAW_(Kraslava)_1933_600dpi_BCUJ297029-284268.vrt P25_S44_KRASLAW_(Kraslava)_1933_600dpi_BCUJ297029-284268.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES P25_S44_KRASLAW_(Kraslava)_1933_600dpi_BCUJ297029-284268.cut.vrt P25_S44_KRASLAW_(Kraslava)_1933_600dpi_BCUJ297029-284268.xyz