#!/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 4230.0 3687.0 28 56 -gcp 26283.0 3441.0 28.25 56 -gcp 26571.0 29769.0 28.25 55.833333333333336 -gcp 4422.0 29991.0 28 55.833333333333336 mapster/RKKA050_N-35-9-A_Koxanovichi_IV-1932_UInd-VAC9619-000416@1734591.jpg RKKA050_N-35-9-A_Koxanovichi_IV-1932_UInd-VAC9619-000416@1734591.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4230.0 3687.0\n26283.0 3441.0\n26571.0 29769.0\n4422.0 29991.0" | \
  gdaltransform -tps -output_xy RKKA050_N-35-9-A_Koxanovichi_IV-1932_UInd-VAC9619-000416@1734591.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  RKKA050_N-35-9-A_Koxanovichi_IV-1932_UInd-VAC9619-000416@1734591.vrt RKKA050_N-35-9-A_Koxanovichi_IV-1932_UInd-VAC9619-000416@1734591.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES RKKA050_N-35-9-A_Koxanovichi_IV-1932_UInd-VAC9619-000416@1734591.cut.vrt RKKA050_N-35-9-A_Koxanovichi_IV-1932_UInd-VAC9619-000416@1734591.xyz