#!/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 4896.0 6414.0 23.291678333333333 56.60344833333333 -gcp 40908.0 6522.0 23.33334 56.60344833333333 -gcp 40926.0 40272.0 23.33334 56.582618333333336 -gcp 4890.0 40176.0 23.291678333333333 56.582618333333336 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-002131-PLANSETE-030-e-16_2131.JPG LVVA-001679-0217-002131-PLANSETE-030-e-16_2131.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4896.0 6414.0\n40908.0 6522.0\n40926.0 40272.0\n4890.0 40176.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-002131-PLANSETE-030-e-16_2131.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-002131-PLANSETE-030-e-16_2131.vrt LVVA-001679-0217-002131-PLANSETE-030-e-16_2131.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-002131-PLANSETE-030-e-16_2131.cut.vrt LVVA-001679-0217-002131-PLANSETE-030-e-16_2131.xyz