#!/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 2763.0 1884.0 27.333333333333332 56 -gcp 24888.0 1830.0 27.833333333333332 56 -gcp 25035.0 21498.0 27.833333333333332 55.75 -gcp 2790.0 21615.0 27.333333333333332 55.75 wgs84/P25_S45_DRUJA_WT_1932_600dpi_bcuj297030-284269.jpg P25_S45_DRUJA_WT_1932_600dpi_bcuj297030-284269.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2763.0 1884.0\n24888.0 1830.0\n25035.0 21498.0\n2790.0 21615.0" | \
  gdaltransform -tps -output_xy P25_S45_DRUJA_WT_1932_600dpi_bcuj297030-284269.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  P25_S45_DRUJA_WT_1932_600dpi_bcuj297030-284269.vrt P25_S45_DRUJA_WT_1932_600dpi_bcuj297030-284269.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES P25_S45_DRUJA_WT_1932_600dpi_bcuj297030-284269.cut.vrt P25_S45_DRUJA_WT_1932_600dpi_bcuj297030-284269.xyz