#!/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 23.024858966279766 56.980598171252836 -gcp 0.0 16128.0 23.052043451623693 56.979497600802105 -gcp 12306.0 16128.0 23.05050174735088 56.96817132165708 -gcp 12306.0 0.0 23.023325473914174 56.969271586789304 V_Rajons_Jaunsati_DA/LNA_KFFDA_F106_1_4793N.jpg LNA_KFFDA_F106_1_4793N.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "0.0 0.0\n0.0 16128.0\n12306.0 16128.0\n12306.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_4793N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_4793N.vrt LNA_KFFDA_F106_1_4793N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_4793N.cut.vrt LNA_KFFDA_F106_1_4793N.xyz