#!/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 2175.0 2679.0 25.490083333333335 56.85845 -gcp 29628.0 2634.0 26.69558333333333 56.89803333333333 -gcp 29586.0 22185.0 26.743133333333333 56.423116666666665 -gcp 2163.0 22197.0 25.549733333333332 56.38473333333334 1915_3verst_de_126k/uw/Reihe_IX_Blatt_5_Jakobstadt_1915_uw.jpg Reihe_IX_Blatt_5_Jakobstadt_1915_uw.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2172.75 12441.752082176568\n2175.0 2679.0\n15909.0 2630.9850083287065\n29628.0 2634.0\n29611.5 12411.751249305942\n29586.0 22185.0\n15865.5 22201.505830094393\n2163.0 22197.0" | \
  gdaltransform -tps -output_xy Reihe_IX_Blatt_5_Jakobstadt_1915_uw.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Reihe_IX_Blatt_5_Jakobstadt_1915_uw.vrt Reihe_IX_Blatt_5_Jakobstadt_1915_uw.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Reihe_IX_Blatt_5_Jakobstadt_1915_uw.cut.vrt Reihe_IX_Blatt_5_Jakobstadt_1915_uw.xyz