#!/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 0.0 0.0 27.53018686323043 57.52058749688945 -gcp 14340.0 0.0 27.87051183523922 57.51878625802553 -gcp 14340.0 16704.0 27.86430633776259 57.306440735344 -gcp 0.0 16704.0 27.525902646140725 57.3087203987209 262-Kacanava_1923.jpg 262-Kacanava_1923.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"1979.4375 1597.8743753470294\n2132.0625 14731.3132287618\n12718.3125 14601.750416435316\n12522.0 1488.0\" | \
  gdaltransform -tps -output_xy 262-Kacanava_1923.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  262-Kacanava_1923.vrt 262-Kacanava_1923.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES 262-Kacanava_1923.cut.vrt 262-Kacanava_1923.xyz