#!/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 2868.251789221406 1401.9185094208506 25.15595555 56.62552546 -gcp 25107.35603938516 5185.609926048996 25.1155293 56.52459829 -gcp 25344.430314178142 26946.33387930152 24.93436217 56.52950684 -gcp 835.5228872843533 26228.703081050742 24.94855642 56.6377401 GX10518/GX_10518B_SK_frame_910_copy.jpg GX_10518B_SK_frame_910_copy.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2976.0 1007.5721448467971\n25392.0 1055.6791086350968\n25536.0 27696.0\n3120.0 27744.1069637883" | \
  gdaltransform -tps -output_xy GX_10518B_SK_frame_910_copy.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  GX_10518B_SK_frame_910_copy.vrt GX_10518B_SK_frame_910_copy.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES GX_10518B_SK_frame_910_copy.cut.vrt GX_10518B_SK_frame_910_copy.xyz