#!/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 6396.0 8166.0 27.54109 56.37432 -gcp 42690.0 8100.0 27.58275 56.37432 -gcp 42690.0 40686.0 27.58275 56.35349 -gcp 6384.0 40740.0 27.54109 56.35349 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-004331-PLANSETE-104-d-10_4331.JPG LVVA-001679-0217-004331-PLANSETE-104-d-10_4331.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "6396.0 8166.0\n42690.0 8100.0\n42690.0 40686.0\n6384.0 40740.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-004331-PLANSETE-104-d-10_4331.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-004331-PLANSETE-104-d-10_4331.vrt LVVA-001679-0217-004331-PLANSETE-104-d-10_4331.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-004331-PLANSETE-104-d-10_4331.cut.vrt LVVA-001679-0217-004331-PLANSETE-104-d-10_4331.xyz