#!/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 1896.0 3165.0 27.25 55.833333333333336 -gcp 24093.0 3108.0 27.5 55.833333333333336 -gcp 24213.0 29532.0 27.5 55.666666666666664 -gcp 1971.0 29691.0 27.25 55.666666666666664 mapster/RKKA050_N-35-7-D_Druya_1-1939_UInd-VAC9619-000410@1734516.jpg RKKA050_N-35-7-D_Druya_1-1939_UInd-VAC9619-000410@1734516.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1896.0 3165.0\n24093.0 3108.0\n24213.0 29532.0\n1971.0 29691.0" | \
  gdaltransform -tps -output_xy RKKA050_N-35-7-D_Druya_1-1939_UInd-VAC9619-000410@1734516.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  RKKA050_N-35-7-D_Druya_1-1939_UInd-VAC9619-000410@1734516.vrt RKKA050_N-35-7-D_Druya_1-1939_UInd-VAC9619-000410@1734516.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES RKKA050_N-35-7-D_Druya_1-1939_UInd-VAC9619-000410@1734516.cut.vrt RKKA050_N-35-7-D_Druya_1-1939_UInd-VAC9619-000410@1734516.xyz