#!/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 20.820829457268285 58.57748509116062 -gcp 32388.0 0.0 25.4850228699852 58.49819521936672 -gcp 32388.0 36849.0 25.206738322444853 55.812274438643094 -gcp 0.0 36849.0 20.82250657281591 55.87408390256648 Latv.Lietuv.Prus.Baltk.Kriev.Igaun.top.kartes_Latvijas_top._karte_6828_A1_L57_02.JPG Latv.Lietuv.Prus.Baltk.Kriev.Igaun.top.kartes_Latvijas_top._karte_6828_A1_L57_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "585.0 2625.0\n657.0 36846.0\n31872.0 36846.0\n31704.0 1721.9950027762352" | \
  gdaltransform -tps -output_xy Latv.Lietuv.Prus.Baltk.Kriev.Igaun.top.kartes_Latvijas_top._karte_6828_A1_L57_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Latv.Lietuv.Prus.Baltk.Kriev.Igaun.top.kartes_Latvijas_top._karte_6828_A1_L57_02.vrt Latv.Lietuv.Prus.Baltk.Kriev.Igaun.top.kartes_Latvijas_top._karte_6828_A1_L57_02.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Latv.Lietuv.Prus.Baltk.Kriev.Igaun.top.kartes_Latvijas_top._karte_6828_A1_L57_02.cut.vrt Latv.Lietuv.Prus.Baltk.Kriev.Igaun.top.kartes_Latvijas_top._karte_6828_A1_L57_02.xyz