#!/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 2475.0 2823.0 21.326666666666668 57.5 -gcp 21615.0 3009.0 21.776666666666667 57.5 -gcp 21576.0 23178.0 21.776666666666667 57.25 -gcp 2310.0 23013.0 21.326666666666668 57.25 lvva/Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Ventspils_apkartne___6828__A1_L22_3_02.JPG Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Ventspils_apkartne___6828__A1_L22_3_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2475.0 2823.0\n21615.0 3009.0\n21576.0 23178.0\n2310.0 23013.0" | \
  gdaltransform -tps -output_xy Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Ventspils_apkartne___6828__A1_L22_3_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Ventspils_apkartne___6828__A1_L22_3_02.vrt Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Ventspils_apkartne___6828__A1_L22_3_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_Ventspils_apkartne___6828__A1_L22_3_02.cut.vrt Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Ventspils_apkartne___6828__A1_L22_3_02.xyz