#!/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 5489.356854842252 8384.930854688793 24.05247331 56.94126924 -gcp 40642.014218141674 6670.522206189897 24.07311022 56.94156824 -gcp 37596.167223762925 32775.14892211336 24.07112136 56.93326259 -gcp 5694.787824924566 39064.47033339951 24.0523982 56.93133959 GX4799/GX_4799_SD_frame_111_copy.jpg GX_4799_SD_frame_111_copy.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1920.0 38640.588300835654\n1440.0 4176.0534818941505\n42048.0 5714.727576601671\n42192.0 38542.28857938719" | \
  gdaltransform -tps -output_xy GX_4799_SD_frame_111_copy.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  GX_4799_SD_frame_111_copy.vrt GX_4799_SD_frame_111_copy.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES GX_4799_SD_frame_111_copy.cut.vrt GX_4799_SD_frame_111_copy.xyz