#!/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 2328.0 3066.0 24 57 -gcp 13095.0 3078.0 24.5 57 -gcp 13170.0 16563.0 24.5 56.666666666666664 -gcp 2328.0 16557.0 24 56.666666666666664 LVVA/Latvijas-Lietuvas_rep_un_Vitebskas_apg-Riga_un_apkartne_6828_A1_L34_17_02.JPG Latvijas-Lietuvas_rep_un_Vitebskas_apg-Riga_un_apkartne_6828_A1_L34_17_02.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "2328.0 3066.0\n13095.0 3078.0\n13170.0 16563.0\n2328.0 16557.0" | \
  gdaltransform -tps -output_xy Latvijas-Lietuvas_rep_un_Vitebskas_apg-Riga_un_apkartne_6828_A1_L34_17_02.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  Latvijas-Lietuvas_rep_un_Vitebskas_apg-Riga_un_apkartne_6828_A1_L34_17_02.vrt Latvijas-Lietuvas_rep_un_Vitebskas_apg-Riga_un_apkartne_6828_A1_L34_17_02.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Latvijas-Lietuvas_rep_un_Vitebskas_apg-Riga_un_apkartne_6828_A1_L34_17_02.cut.vrt Latvijas-Lietuvas_rep_un_Vitebskas_apg-Riga_un_apkartne_6828_A1_L34_17_02.xyz