#!/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 26.533423017766943 57.1853522372401 -gcp 14340.0 0.0 26.869893377669815 57.1844639808538 -gcp 14340.0 16374.0 26.866737770453092 56.977196964348764 -gcp 0.0 16374.0 26.53251838542885 56.977744160505374 216-Jaungulbene_1924.jpg 216-Jaungulbene_1924.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e \"7168.875 1426.871356191005\n1843.875 1459.5008328706276\n1857.75 8035.313332870627\n1884.0 14608.130621876735\n7251.9375 14584.308647973348\n12606.9375 14574.375208217656\n12567.75 7991.625416435314\n12509.625 1407.373542476402\" | \
  gdaltransform -tps -output_xy 216-Jaungulbene_1924.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}'))))" \
  216-Jaungulbene_1924.vrt 216-Jaungulbene_1924.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES 216-Jaungulbene_1924.cut.vrt 216-Jaungulbene_1924.xyz