#!/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 23.50462003686516 56.609773821635194 -gcp 0.0 16353.0 23.531984079845337 56.61605643863254 -gcp 12165.0 16353.0 23.54045446063964 56.60482981484841 -gcp 12165.0 0.0 23.5130971064142 56.59854906095854 07_Rajons_Zalenieki/LNA_KFFDA_F106_1_4261N.jpg LNA_KFFDA_F106_1_4261N.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 16353.0\n12165.0 16353.0\n12165.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_4261N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_4261N.vrt LNA_KFFDA_F106_1_4261N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_4261N.cut.vrt LNA_KFFDA_F106_1_4261N.xyz