#!/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 673.5 980.4144919489172 22.197938494923218 57.691421573898 -gcp 9461.25 974.4340644086619 22.260438939641173 57.69142259158196 -gcp 9472.5 11961.946973903387 22.260441302023537 57.649755334557824 -gcp 676.5 11978.446557468073 22.197940857815237 57.649754317335436 k_001_ktl2-0-132_0012.jpg k_001_ktl2-0-132_0012.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "673.5 980.4144919489172\n9461.25 974.4340644086619\n9472.5 11961.946973903387\n676.5 11978.446557468073" | \
  gdaltransform -tps -output_xy k_001_ktl2-0-132_0012.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-0-132_0012.vrt k_001_ktl2-0-132_0012.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES k_001_ktl2-0-132_0012.cut.vrt k_001_ktl2-0-132_0012.xyz