#!/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 606.0 813.0 21.837216666666666 56.75 -gcp 11688.0 888.0 22.337216666666666 56.75 -gcp 11688.0 10998.0 22.337216666666666 56.5 -gcp 543.0 10944.0 21.837216666666666 56.5 bruno/K15_Skrunda_1919.jpg K15_Skrunda_1919.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "606.0 813.0\n11688.0 888.0\n11688.0 10998.0\n543.0 10944.0" | \
  gdaltransform -tps -output_xy K15_Skrunda_1919.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  K15_Skrunda_1919.vrt K15_Skrunda_1919.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES K15_Skrunda_1919.cut.vrt K15_Skrunda_1919.xyz