#!/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 2775.0 5103.0 27.5 55.833333333333336 -gcp 24957.0 5124.0 27.75 55.833333333333336 -gcp 24897.0 31518.0 27.75 55.666666666666664 -gcp 2691.0 31482.0 27.5 55.666666666666664 mapster/RKKA050_N-35-8-C_CHury`lovo_9-1938_UInd-VAC9619-000413@1734537.jpg RKKA050_N-35-8-C_CHury`lovo_9-1938_UInd-VAC9619-000413@1734537.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2775.0 5103.0\n24957.0 5124.0\n24897.0 31518.0\n2691.0 31482.0" | \
  gdaltransform -tps -output_xy RKKA050_N-35-8-C_CHury`lovo_9-1938_UInd-VAC9619-000413@1734537.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  RKKA050_N-35-8-C_CHury`lovo_9-1938_UInd-VAC9619-000413@1734537.vrt RKKA050_N-35-8-C_CHury`lovo_9-1938_UInd-VAC9619-000413@1734537.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES RKKA050_N-35-8-C_CHury`lovo_9-1938_UInd-VAC9619-000413@1734537.cut.vrt RKKA050_N-35-8-C_CHury`lovo_9-1938_UInd-VAC9619-000413@1734537.xyz