#!/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 342.0 741.0 27.5 57.25 -gcp 18375.0 591.0 28.133333333333333 57.25 -gcp 18534.0 13695.0 28.133333333333333 57 -gcp 396.0 13836.0 27.5 57 Lat075_101_Jaunlategale_ca1930.jpg Lat075_101_Jaunlategale_ca1930.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"342.0 741.0\n18375.0 591.0\n18534.0 13695.0\n396.0 13836.0\" | \
  gdaltransform -tps -output_xy Lat075_101_Jaunlategale_ca1930.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  Lat075_101_Jaunlategale_ca1930.vrt Lat075_101_Jaunlategale_ca1930.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES Lat075_101_Jaunlategale_ca1930.cut.vrt Lat075_101_Jaunlategale_ca1930.xyz