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@zabop
Created August 4, 2025 13:28
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "e29a24bd",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Input file size is 4, 5\n",
"0...10...20...30...40...50...60...70...80...90...100 - done.\n"
]
}
],
"source": [
"from PIL import Image\n",
"import numpy as np\n",
"\n",
"arr = np.array([\n",
" [1, 0.2, 0, 1],\n",
" [0.2, 0.4, 0.6, 0.4], \n",
" [0.4, 0.6, 0.8, 0.8], \n",
" [0.6, 0.8, 0.6, 0.4], \n",
" [0.8, 0.6, 1, 1], \n",
" ])\n",
"arr *= 255\n",
"\n",
"im = Image.fromarray(arr.astype(np.uint8))\n",
"im.save(\"example.png\", format=\"PNG\", compress_level=0)\n",
"\n",
"ulx, uly = 935764.3,6668575.4\n",
"\n",
"pixelsize = 250\n",
"lrx, lry = ulx + pixelsize * arr.shape[1], uly - pixelsize * arr.shape[0]\n",
"\n",
"!rm -f georeferenced_mock_small.tif\n",
"!gdal_translate \\\n",
" -a_srs EPSG:25831 \\\n",
" -a_ullr {ulx} {uly} {lrx} {lry} \\\n",
" -a_nodata 255 \\\n",
" \"example.png\" \"example.tif\""
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "1ab468e8",
"metadata": {},
"outputs": [],
"source": [
"!open ."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "venv (3.13.2)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.2"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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