#!/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 2448.0 2436.0 21.56985 58.0923 -gcp 29664.0 2295.0 22.820666666666668 58.16635 -gcp 29745.0 21984.0 22.913183333333333 57.69295 -gcp 2496.0 22245.0 21.6816 57.61686666666667 1915_3verst_de_126k/uw/Reihe_VI_Blatt_2_Jamma_1916_uw.jpg Reihe_VI_Blatt_2_Jamma_1916_uw.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2446.5 12346.503331482509\n2448.0 2436.0\n16054.5 2357.995835646863\n29664.0 2295.0\n29727.75 12152.257079400333\n29745.0 21984.0\n16110.0 22176.033314825097\n2496.0 22245.0" | \
  gdaltransform -tps -output_xy Reihe_VI_Blatt_2_Jamma_1916_uw.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Reihe_VI_Blatt_2_Jamma_1916_uw.vrt Reihe_VI_Blatt_2_Jamma_1916_uw.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Reihe_VI_Blatt_2_Jamma_1916_uw.cut.vrt Reihe_VI_Blatt_2_Jamma_1916_uw.xyz