82 lines
1.6 KiB
Plaintext
82 lines
1.6 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import sys\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"\n",
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"sys.path.append(\"..\")\n",
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"import rasterizer\n",
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"import raster_assistant as ra\n",
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"\n",
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"sys.path.append('../triskele/python/')\n",
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"import triskele\n",
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"\n",
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"figsize = np.array((16, 3)) * 1.5"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Cubic-Clip Test"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"C1 = ra.bulk_load('../Data/lidar/C1', 'C1', filter_treshold=0.01, clip_treshold=0.1, dtype=np.float32)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"raster = ra.rasterize_cache('intensity', C1, .5, 'cubic-clip', False, cache_dir='../Res/enrichment_rasters')\n",
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"\n",
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"plt.figure(figsize=figsize)\n",
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"plt.imshow(raster)\n",
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"plt.colorbar()\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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