#!/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 4854.0 6264.0 22.625103333333332 56.41598 -gcp 41022.0 6354.0 22.666765 56.41598 -gcp 41034.0 40122.0 22.666765 56.39515 -gcp 4836.0 39990.0 22.625103333333332 56.39515 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-001766-PLANSETE-026-d-4_1766.JPG LVVA-001679-0217-001766-PLANSETE-026-d-4_1766.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4854.0 6264.0\n41022.0 6354.0\n41034.0 40122.0\n4836.0 39990.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-001766-PLANSETE-026-d-4_1766.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-001766-PLANSETE-026-d-4_1766.vrt LVVA-001679-0217-001766-PLANSETE-026-d-4_1766.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-001766-PLANSETE-026-d-4_1766.cut.vrt LVVA-001679-0217-001766-PLANSETE-026-d-4_1766.xyz