#!/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 1201.8078393881453 2515.80149916713 27.5 56.25 -gcp 20638.79158699809 2497.864797334814 28 56.25 -gcp 20709.419694072658 20076.433092726264 28 56 -gcp 1146.3393881453155 20076.374791782342 27.5 56 LAT075_105_Dagda_1928_400dpi.jpg LAT075_105_Dagda_1928_400dpi.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "1201.8078393881453 2515.80149916713\n20638.79158699809 2497.864797334814\n20709.419694072658 20076.433092726264\n1146.3393881453155 20076.374791782342" | \
  gdaltransform -tps -output_xy LAT075_105_Dagda_1928_400dpi.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LAT075_105_Dagda_1928_400dpi.vrt LAT075_105_Dagda_1928_400dpi.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LAT075_105_Dagda_1928_400dpi.cut.vrt LAT075_105_Dagda_1928_400dpi.xyz