#!/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 4722.0 6486.0 23.583305 56.54096 -gcp 40812.0 6528.0 23.624965 56.54096 -gcp 40872.0 40290.0 23.624965 56.52013 -gcp 4782.0 40242.0 23.583305 56.52013 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-002465-PLANSETE-033-g-11_2465.JPG LVVA-001679-0217-002465-PLANSETE-033-g-11_2465.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4722.0 6486.0\n40812.0 6528.0\n40872.0 40290.0\n4782.0 40242.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-002465-PLANSETE-033-g-11_2465.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-002465-PLANSETE-033-g-11_2465.vrt LVVA-001679-0217-002465-PLANSETE-033-g-11_2465.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-002465-PLANSETE-033-g-11_2465.cut.vrt LVVA-001679-0217-002465-PLANSETE-033-g-11_2465.xyz