#!/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 832.5 915.1297993019198 22.322937012808282 57.73309086595629 -gcp 9597.0 903.1841186736474 22.385437462971822 57.73309188366509 -gcp 9619.5 11907.791884816754 22.3854398308577 57.69142462563182 -gcp 832.6028852562104 11923.692849711402 22.322939381210876 57.69142360838384 k_001_ktl2-0-132_0014.jpg k_001_ktl2-0-132_0014.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "6.0 11922.287958115183\n510.0 11673.143106457243\n831.0 10895.844677137871\n832.5 915.1297993019198\n9597.0 903.1841186736474\n9619.5 11907.791884816754\n832.6028852562104 11923.692849711402" | \
  gdaltransform -tps -output_xy k_001_ktl2-0-132_0014.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  k_001_ktl2-0-132_0014.vrt k_001_ktl2-0-132_0014.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_0014.cut.vrt k_001_ktl2-0-132_0014.xyz