#!/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 3932.615724664265 5439.08580145601 26.86611056 56.79277054 -gcp 17622.541645297326 4570.229787970442 26.86468363 56.8460091 -gcp 19549.091768518825 20122.765607877078 26.9772774 56.85020991 -gcp 3218.320510613864 19829.99021013459 26.96824908 56.78689419 GX10673/GX_10673_SK_frame_956_copy.jpg GX_10673_SK_frame_956_copy.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "432.0 3983.802570694088\n20448.0 3840.1233933161957\n20544.0 20880.0\n528.0 20785.480719794345" | \
  gdaltransform -tps -output_xy GX_10673_SK_frame_956_copy.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  GX_10673_SK_frame_956_copy.vrt GX_10673_SK_frame_956_copy.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES GX_10673_SK_frame_956_copy.cut.vrt GX_10673_SK_frame_956_copy.xyz