#!/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 27.27752331071531 57.018836765416985 -gcp 14340.0 0.0 27.611673995354895 57.018594045498226 -gcp 14340.0 16326.0 27.610061963732 56.81140710282913 -gcp 0.0 16326.0 27.277381959654736 56.81147345461771 253-Kokoreva_1922.jpg 253-Kokoreva_1922.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"7476.75 1462.4958356468628\n2107.875 1476.1876041088285\n2112.375 8042.62635341477\n2119.5 14604.189269850081\n7512.9375 14596.872709605774\n12895.125 14597.812395891171\n12876.1875 8034.939790394225\n12843.0 1464.0\" | \
  gdaltransform -tps -output_xy 253-Kokoreva_1922.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  253-Kokoreva_1922.vrt 253-Kokoreva_1922.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES 253-Kokoreva_1922.cut.vrt 253-Kokoreva_1922.xyz