#!/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 2369.5018818634367 6272.62353282574 26.81268096 56.78503681 -gcp 20036.97668427282 5823.594855557083 26.81284189 56.85297284 -gcp 19947.465021004697 19364.192275563124 26.91009343 56.85082591 -gcp 3373.0646629919493 17851.851571832387 26.89522326 56.78691184 GX10673/GX_10673_SK_frame_957_copy.jpg GX_10673_SK_frame_957_copy.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "576.0 3455.9259640102837\n20544.0 3216.2467866323914\n20688.0 20592.04935732648\n528.0 20304.616966580976" | \
  gdaltransform -tps -output_xy GX_10673_SK_frame_957_copy.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  GX_10673_SK_frame_957_copy.vrt GX_10673_SK_frame_957_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_957_copy.cut.vrt GX_10673_SK_frame_957_copy.xyz