#!/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 3681.0 2988.0 26.25 55.833333333333336 -gcp 25770.0 3243.0 26.5 55.833333333333336 -gcp 25512.0 29496.0 26.5 55.666666666666664 -gcp 3399.0 29280.0 26.25 55.666666666666664 mapster/RKKA050_N-35-5-D_Novo-Aleksandrovsk_X-1932_UInd-VAC9619-000402@1734449.jpg RKKA050_N-35-5-D_Novo-Aleksandrovsk_X-1932_UInd-VAC9619-000402@1734449.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "3681.0 2988.0\n25770.0 3243.0\n25512.0 29496.0\n3399.0 29280.0" | \
  gdaltransform -tps -output_xy RKKA050_N-35-5-D_Novo-Aleksandrovsk_X-1932_UInd-VAC9619-000402@1734449.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  RKKA050_N-35-5-D_Novo-Aleksandrovsk_X-1932_UInd-VAC9619-000402@1734449.vrt RKKA050_N-35-5-D_Novo-Aleksandrovsk_X-1932_UInd-VAC9619-000402@1734449.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES RKKA050_N-35-5-D_Novo-Aleksandrovsk_X-1932_UInd-VAC9619-000402@1734449.cut.vrt RKKA050_N-35-5-D_Novo-Aleksandrovsk_X-1932_UInd-VAC9619-000402@1734449.xyz