#!/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 4824.0 6126.0 22.625103333333332 56.52013 -gcp 40902.0 6114.0 22.666765 56.52013 -gcp 41028.0 39864.0 22.666765 56.4993 -gcp 4896.0 39876.0 22.625103333333332 56.4993 LVVA_F1679_US217_GV1-4373/LVVA-001679-0217-001686-PLANSETE-025-g-16_1686.JPG LVVA-001679-0217-001686-PLANSETE-025-g-16_1686.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "4824.0 6126.0\n40902.0 6114.0\n41028.0 39864.0\n4896.0 39876.0" | \
  gdaltransform -tps -output_xy LVVA-001679-0217-001686-PLANSETE-025-g-16_1686.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  LVVA-001679-0217-001686-PLANSETE-025-g-16_1686.vrt LVVA-001679-0217-001686-PLANSETE-025-g-16_1686.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES LVVA-001679-0217-001686-PLANSETE-025-g-16_1686.cut.vrt LVVA-001679-0217-001686-PLANSETE-025-g-16_1686.xyz