#!/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 4782.0 5790.0 21.50026 56.39515 -gcp 40932.0 5862.0 21.54192 56.39515 -gcp 41004.0 39612.0 21.54192 56.37432 -gcp 4824.0 39516.0 21.50026 56.37432 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-000951-PLANSETE-013-d-5_0951.JPG LVVA-001679-0217-000951-PLANSETE-013-d-5_0951.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4782.0 5790.0\n40932.0 5862.0\n41004.0 39612.0\n4824.0 39516.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-000951-PLANSETE-013-d-5_0951.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-000951-PLANSETE-013-d-5_0951.vrt LVVA-001679-0217-000951-PLANSETE-013-d-5_0951.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-000951-PLANSETE-013-d-5_0951.cut.vrt LVVA-001679-0217-000951-PLANSETE-013-d-5_0951.xyz