#!/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 6312.0 8322.0 27.291125 56.39515 -gcp 42630.0 8262.0 27.332785 56.39515 -gcp 42618.0 41028.0 27.332785 56.37432 -gcp 6276.0 41028.0 27.291125 56.37432 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-004309-PLANSETE-95-e-8_4309.JPG LVVA-001679-0217-004309-PLANSETE-95-e-8_4309.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "6312.0 8322.0\n42630.0 8262.0\n42618.0 41028.0\n6276.0 41028.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-004309-PLANSETE-95-e-8_4309.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-004309-PLANSETE-95-e-8_4309.vrt LVVA-001679-0217-004309-PLANSETE-95-e-8_4309.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-004309-PLANSETE-95-e-8_4309.cut.vrt LVVA-001679-0217-004309-PLANSETE-95-e-8_4309.xyz