#!/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 4962.0 5652.0 27.041158333333332 56.43681 -gcp 41298.0 5544.0 27.08282 56.43681 -gcp 41358.0 38394.0 27.08282 56.41598 -gcp 4998.0 38484.0 27.041158333333332 56.41598 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-003704-PLANSETE-095-a-14_3704.JPG LVVA-001679-0217-003704-PLANSETE-095-a-14_3704.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4962.0 5652.0\n41298.0 5544.0\n41358.0 38394.0\n4998.0 38484.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-003704-PLANSETE-095-a-14_3704.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-003704-PLANSETE-095-a-14_3704.vrt LVVA-001679-0217-003704-PLANSETE-095-a-14_3704.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-003704-PLANSETE-095-a-14_3704.cut.vrt LVVA-001679-0217-003704-PLANSETE-095-a-14_3704.xyz