#!/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 2951.065139049868 8375.600351015468 24.41320896 57.26582352 -gcp 20447.08972409159 7111.044626005808 24.40515161 57.33676021 -gcp 18675.02847625927 18584.212746831614 24.48988795 57.32916715 -gcp 4512.533718493814 18343.756376954232 24.48751688 57.27172306 GX8464/GX_8464_SK_frame_292.jpg GX_8464_SK_frame_292.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "768.0 2934.0\n21024.0 2256.1337047353763\n21072.0 19727.759331476325\n768.0 19679.91977715878" | \
  gdaltransform -tps -output_xy GX_8464_SK_frame_292.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  GX_8464_SK_frame_292.vrt GX_8464_SK_frame_292.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES GX_8464_SK_frame_292.cut.vrt GX_8464_SK_frame_292.xyz