#!/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 2771.504085539059 2901.745649535218 25.26211739 57.16195165 -gcp 19111.188196394058 5324.723793220025 25.2806139 57.22637512 -gcp 17651.180740784628 15903.098162332702 25.35756111 57.22021831 -gcp 696.7149695374248 14469.103493748797 25.34691811 57.15343916 GX10802/c_GX_10802_SK_frame_396.jpg c_GX_10802_SK_frame_396.vrt

# Add cutline to VRT
gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \
  -cutline "POLYGON(($(echo -e "0.0 0.0\n20448.0 0.0\n20448.0 16935.0\n0.0 16935.0" | \
  gdaltransform -tps -output_xy c_GX_10802_SK_frame_396.vrt | \
  awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \
  c_GX_10802_SK_frame_396.vrt c_GX_10802_SK_frame_396.cut.vrt

# Generate tiles
gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES c_GX_10802_SK_frame_396.cut.vrt c_GX_10802_SK_frame_396.xyz