#!/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 375.0 690.0 23.337216666666666 57 -gcp 11115.0 702.0 23.837216666666666 57 -gcp 11127.0 10545.0 23.837216666666666 56.75 -gcp 315.0 10506.0 23.337216666666666 56.75 bruno/N14_Schlok 1919.jpg N14_Schlok 1919.vrt # Add cutline to VRT gdalwarp -r $GDAL_SAMPLING_WARP -tps -dstalpha -cutline_srs EPSG:4326 \ -cutline "POLYGON(($(echo -e "375.0 690.0\n11115.0 702.0\n11127.0 10545.0\n315.0 10506.0" | \ gdaltransform -tps -output_xy N14_Schlok 1919.vrt | \ awk 'NR==1{first=$0} {printf "%s %s,", $1,$2} END{print " " first}')))" \ N14_Schlok 1919.vrt N14_Schlok 1919.cut.vrt # Generate tiles gdal2tiles.py -r $GDAL_SAMPLING_TILE --xyz -z $GDAL_TILE_ZOOMS -x --processes=$GDAL_TILE_PROCESSES N14_Schlok 1919.cut.vrt N14_Schlok 1919.xyz