#!/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 7260.0 8580.0 27.249463333333335 56.35349 -gcp 43626.0 8706.0 27.291125 56.35349 -gcp 43470.0 41268.0 27.291125 56.33266 -gcp 7098.0 41112.0 27.249463333333335 56.33266 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-004312-PLANSETE-95-e-15_4312.JPG LVVA-001679-0217-004312-PLANSETE-95-e-15_4312.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "7260.0 8580.0\n43626.0 8706.0\n43470.0 41268.0\n7098.0 41112.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-004312-PLANSETE-95-e-15_4312.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-004312-PLANSETE-95-e-15_4312.vrt LVVA-001679-0217-004312-PLANSETE-95-e-15_4312.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-004312-PLANSETE-95-e-15_4312.cut.vrt LVVA-001679-0217-004312-PLANSETE-95-e-15_4312.xyz