#!/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 20.774639632550205 57.24749768235821 -gcp 32388.0 0.0 25.307828952680676 57.20452662675985 -gcp 32388.0 36849.0 25.07337265031637 54.51917984853889 -gcp 0.0 36849.0 20.828260650805372 54.55518519334377 Latv.Lietuv.Prus.Baltk.Kriev.Igaun.top.kartes_Latvijas_top._karte_6828_A1_L57_03.JPG Latv.Lietuv.Prus.Baltk.Kriev.Igaun.top.kartes_Latvijas_top._karte_6828_A1_L57_03.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "930.0 3.0033314825096795\n756.0 35577.0\n31902.0 34965.0\n31935.0 3.0" | \
  gdaltransform -tps -output_xy Latv.Lietuv.Prus.Baltk.Kriev.Igaun.top.kartes_Latvijas_top._karte_6828_A1_L57_03.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_03.vrt Latv.Lietuv.Prus.Baltk.Kriev.Igaun.top.kartes_Latvijas_top._karte_6828_A1_L57_03.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_03.cut.vrt Latv.Lietuv.Prus.Baltk.Kriev.Igaun.top.kartes_Latvijas_top._karte_6828_A1_L57_03.xyz