#!/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 2421.0 2244.0 23.576666666666668 57.083333333333336 -gcp 21804.0 2313.0 24.026666666666667 57.083333333333336 -gcp 21957.0 29154.0 24.026666666666667 56.75 -gcp 2355.0 29097.0 23.576666666666668 56.75 lvva/Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Slokas_apkartne__6828__A1_L22_18_02.JPG Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Slokas_apkartne__6828__A1_L22_18_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2421.0 2244.0\n21804.0 2313.0\n21957.0 29154.0\n2355.0 29097.0" | \
  gdaltransform -tps -output_xy Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Slokas_apkartne__6828__A1_L22_18_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Slokas_apkartne__6828__A1_L22_18_02.vrt Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Slokas_apkartne__6828__A1_L22_18_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_Slokas_apkartne__6828__A1_L22_18_02.cut.vrt Kurzemes,Vidzemes,Kaunas_un_Vitebskas_gubernas_Slokas_apkartne__6828__A1_L22_18_02.xyz