#!/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 816.0 858.5613548028873 25.072940154493466 58.06647364261196 -gcp 9522.0 855.7595780122155 25.135440717282858 58.06647465300885 -gcp 9527.25 11862.112021099389 25.135443112244868 58.02480737433516 -gcp 813.0 11871.192393114936 25.072942550109904 58.024806364389875 k_001_ktl2-0-132_0006.jpg k_001_ktl2-0-132_0006.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "816.0 858.5613548028873\n9522.0 855.7595780122155\n9527.25 11862.112021099389\n813.0 11871.192393114936" | \
  gdaltransform -tps -output_xy k_001_ktl2-0-132_0006.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-0-132_0006.vrt k_001_ktl2-0-132_0006.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_0006.cut.vrt k_001_ktl2-0-132_0006.xyz