#!/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 2715.0 2925.0 21.776666666666667 57 -gcp 22149.0 3054.0 22.226666666666667 57 -gcp 22182.0 23268.0 22.226666666666667 56.75 -gcp 2625.0 23121.0 21.776666666666667 56.75 lvva/Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Kuldigas_apkartne__6828__A1_L22_14_02.JPG Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Kuldigas_apkartne__6828__A1_L22_14_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2715.0 2925.0\n22149.0 3054.0\n22182.0 23268.0\n2625.0 23121.0" | \
  gdaltransform -tps -output_xy Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Kuldigas_apkartne__6828__A1_L22_14_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Kuldigas_apkartne__6828__A1_L22_14_02.vrt Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Kuldigas_apkartne__6828__A1_L22_14_02.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Kuldigas_apkartne__6828__A1_L22_14_02.cut.vrt Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Kuldigas_apkartne__6828__A1_L22_14_02.xyz