#!/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 543.75 1227.8720155469184 29 57 -gcp 6585.75 1178.4099111604664 29.5 57 -gcp 6651.0 8672.396585230428 29.5 56.66666667 -gcp 548.25 8679.191143808996 29 56.66666667 001/krievija/O-35-119.jpg O-35-119.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "543.75 1227.8720155469184\n6585.75 1178.4099111604664\n6651.0 8672.396585230428\n548.25 8679.191143808996" | \
  gdaltransform -tps -output_xy O-35-119.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  O-35-119.vrt O-35-119.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES O-35-119.cut.vrt O-35-119.xyz