#!/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 2352.0 2319.0 23.004 57.22128333333333 -gcp 29790.0 2346.0 24.215583333333335 57.2808 -gcp 29712.0 22251.0 24.295066666666667 56.80938333333334 -gcp 2298.0 22128.0 23.093783333333334 56.74915 1915_3verst_de_126k/uw/Reihe_VIII_Blatt_3_Riga_1915_uw.jpg Reihe_VIII_Blatt_3_Riga_1915_uw.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2352.0 2319.0\n29790.0 2346.0\n29712.0 22251.0\n2298.0 22128.0" | \
  gdaltransform -tps -output_xy Reihe_VIII_Blatt_3_Riga_1915_uw.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Reihe_VIII_Blatt_3_Riga_1915_uw.vrt Reihe_VIII_Blatt_3_Riga_1915_uw.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Reihe_VIII_Blatt_3_Riga_1915_uw.cut.vrt Reihe_VIII_Blatt_3_Riga_1915_uw.xyz