#!/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 27.5301597815738 57.020773756737114 -gcp 14520.0 0.0 27.86947489020767 57.01935452461311 -gcp 14520.0 16629.0 27.86510420000338 56.80892302714633 -gcp 0.0 16629.0 27.527679340314553 56.80985943480789 265-Baltinava_1922.jpg 265-Baltinava_1922.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1996.6875 1617.5611465852305\n2037.375 8193.001457523598\n2089.875 14763.375208217656\n12842.625 14704.12562465297\n12782.625 8123.25124930594\n12703.5 1537.8743753470294\" | \
  gdaltransform -tps -output_xy 265-Baltinava_1922.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  265-Baltinava_1922.vrt 265-Baltinava_1922.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES 265-Baltinava_1922.cut.vrt 265-Baltinava_1922.xyz