#!/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 22.57583828019577 57.015160656767904 -gcp 0.0 16026.0 22.59974840993827 57.01629564339424 -gcp 12048.0 16026.0 22.60130914462986 57.00648949604508 -gcp 12048.0 0.0 22.5774052494087 57.00535483604587 38_Rajons_Sabile_Vane/LNA_KFFDA_F106_1_8832N.jpg LNA_KFFDA_F106_1_8832N.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 16026.0\n12048.0 16026.0\n12048.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_8832N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_8832N.vrt LNA_KFFDA_F106_1_8832N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_8832N.cut.vrt LNA_KFFDA_F106_1_8832N.xyz