#!/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 0.0 0.0 23.802729026530205 57.01221980887669 -gcp 13638.0 0.0 24.12059436899451 57.011335417327935 -gcp 13638.0 14445.0 24.120998171516046 56.826034561466294 -gcp 0.0 14445.0 23.80313700385944 56.826707488387605 k_001_ktl1-0-140_1.jpg k_001_ktl1-0-140_1.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1027.5 958.5008328706275\n1005.0 13929.0\n13605.0 13893.0\n13593.75 887.9983342587452\" | \
  gdaltransform -tps -output_xy k_001_ktl1-0-140_1.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  k_001_ktl1-0-140_1.vrt k_001_ktl1-0-140_1.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES k_001_ktl1-0-140_1.cut.vrt k_001_ktl1-0-140_1.xyz