#!/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 22.653733882748824 56.98143576527999 -gcp 0.0 16338.0 22.676268071690004 56.979409516244374 -gcp 12147.0 16338.0 22.673506825214076 56.97026131976331 -gcp 12147.0 0.0 22.650978026103772 56.97228709922732 38_Rajons_Sabile_Vane/LNA_KFFDA_F106_1_9024N.jpg LNA_KFFDA_F106_1_9024N.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 16338.0\n12147.0 16338.0\n12147.0 0.0" | \
  gdaltransform -tps -output_xy LNA_KFFDA_F106_1_9024N.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LNA_KFFDA_F106_1_9024N.vrt LNA_KFFDA_F106_1_9024N.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LNA_KFFDA_F106_1_9024N.cut.vrt LNA_KFFDA_F106_1_9024N.xyz