#!/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 1758.0 1239.0 21.837216666666666 57.25 -gcp 16092.0 1269.0 22.337216666666666 57.25 -gcp 16092.0 14421.0 22.337216666666666 57 -gcp 1692.0 14379.0 21.837216666666666 57 bruno/ignore_Watermarked/K13_Roennen_1918_400dpi.jpg K13_Roennen_1918_400dpi.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1758.0 1239.0\n16092.0 1269.0\n16092.0 14421.0\n1692.0 14379.0" | \
  gdaltransform -tps -output_xy K13_Roennen_1918_400dpi.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  K13_Roennen_1918_400dpi.vrt K13_Roennen_1918_400dpi.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES K13_Roennen_1918_400dpi.cut.vrt K13_Roennen_1918_400dpi.xyz