#!/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 2952.0 3426.0 25.6084 55.9133 -gcp 43959.0 3105.0 26.789983333333332 55.94805 -gcp 44064.0 32085.0 26.836 55.47593333333333 -gcp 3144.0 32388.0 25.666816666666666 55.43803333333334 1880_3vers_ru_126k/VTK_Ryad_XI_List_5_1877.jpg VTK_Ryad_XI_List_5_1877.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "3030.0 17911.50249861188\n2952.0 3426.0\n23458.5 3235.4833425874513\n43959.0 3105.0\n44010.0 17607.00666296502\n44064.0 32085.0\n23611.5 32238.00083287063\n3144.0 32388.0" | \
  gdaltransform -tps -output_xy VTK_Ryad_XI_List_5_1877.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  VTK_Ryad_XI_List_5_1877.vrt VTK_Ryad_XI_List_5_1877.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES VTK_Ryad_XI_List_5_1877.cut.vrt VTK_Ryad_XI_List_5_1877.xyz