#!/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 1491.0 1557.0 24.337216666666666 46 -gcp 15252.0 1548.0 28.337216666666666 46 -gcp 15780.0 21702.0 28.337216666666666 42 -gcp 1128.0 21729.0 24.337216666666666 42 Karadarb.Eiropas_centr.,dienv.,un_Afrikas_Bukareste__6828_A1_L87_13_02.JPG Karadarb.Eiropas_centr.,dienv.,un_Afrikas_Bukareste__6828_A1_L87_13_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1491.0 1557.0\n15252.0 1548.0\n15780.0 21702.0\n1128.0 21729.0" | \
  gdaltransform -tps -output_xy Karadarb.Eiropas_centr.,dienv.,un_Afrikas_Bukareste__6828_A1_L87_13_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Karadarb.Eiropas_centr.,dienv.,un_Afrikas_Bukareste__6828_A1_L87_13_02.vrt Karadarb.Eiropas_centr.,dienv.,un_Afrikas_Bukareste__6828_A1_L87_13_02.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Karadarb.Eiropas_centr.,dienv.,un_Afrikas_Bukareste__6828_A1_L87_13_02.cut.vrt Karadarb.Eiropas_centr.,dienv.,un_Afrikas_Bukareste__6828_A1_L87_13_02.xyz