#!/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 0.0 0.0 27.27693112890023 57.35264541397055 -gcp 14340.0 0.0 27.6148861957501 57.35400164588511 -gcp 14340.0 16677.0 27.6151982287293 57.14233785638848 -gcp 0.0 16677.0 27.278910860173415 57.14176656123105 251-Kuprava_1923.jpg 251-Kuprava_1923.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"7414.125 1572.7491671293724\n2109.0 1537.4991671293724\n2067.0 8136.756871182676\n2046.9375 14711.437187673517\n7380.9375 14732.8125\n12707.4375 14754.18427262632\n12714.0 8181.374167129373\n12722.625 1611.3735424764022\" | \
  gdaltransform -tps -output_xy 251-Kuprava_1923.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  251-Kuprava_1923.vrt 251-Kuprava_1923.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES 251-Kuprava_1923.cut.vrt 251-Kuprava_1923.xyz