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Update in train

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Florent Guiotte 2018-06-14 15:15:53 +02:00
parent f003715d34
commit c27b6ac2fe
1 changed files with 58 additions and 12 deletions
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70
Notebooks/Custom rasters from LiDAR data.ipynb
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@ -70,7 +70,7 @@
" xdata.append(infile.x)\n", " xdata.append(infile.x)\n",
" ydata.append(infile.y)\n", " ydata.append(infile.y)\n",
" #idata.append(infile.intensity)\n", " #idata.append(infile.intensity)\n",
" idata.append(infile.z)\n", " idata.append(infile.num_returns)\n",
" \n", " \n",
" \n", " \n",
"data = np.array((np.concatenate(xdata), np.concatenate(ydata), np.concatenate(idata))).T\n", "data = np.array((np.concatenate(xdata), np.concatenate(ydata), np.concatenate(idata))).T\n",
@ -83,7 +83,7 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"plt.hist(data[:,2], 1000)\n", "plt.hist(data[:,2], 4)\n",
"plt.show()" "plt.show()"
] ]
}, },
@ -93,18 +93,36 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"extremum = .001\n", "extremum = 0.5\n",
"tresholds = np.percentile(data[:,2], [extremum, 1 - extremum])\n", "tresholds = np.percentile(data[:,2], [extremum, 100 - extremum])\n",
"display(tresholds)\n", "display(tresholds)\n",
"\n", "\n",
"filtered_data = data.copy()\n", "filtered_data = data[:,2].copy()\n",
"filtered_data[:,2][data[:,2] < tresholds[0]] = tresholds[0]\n", "filtered_data[data[:,2] < tresholds[0]] = tresholds[0]\n",
"filtered_data[:,2][data[:,2] > tresholds[1]] = tresholds[1]\n", "filtered_data[data[:,2] > tresholds[1]] = tresholds[1]\n",
"\n", "\n",
"plt.hist(filtered_data[:,2], 1000)\n", "plt.hist(filtered_data, 100)\n",
"plt.show()" "plt.show()"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"(data[:,2] < tresholds[0]).sum(), (data[:,2] > tresholds[1]).sum()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"tresholds[1]"
]
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
@ -391,8 +409,12 @@
"sampled_data = np.array([[0, 0, 5], [9, 9, 5], [0, 9, 10], [20, 0, 10]])\n", "sampled_data = np.array([[0, 0, 5], [9, 9, 5], [0, 9, 10], [20, 0, 10]])\n",
"\n", "\n",
"def rasterize(coords, values, resolution, method='cubic'):\n", "def rasterize(coords, values, resolution, method='cubic'):\n",
" xmin, xmax = coords[:,0].min(), coords[:,0].max()\n", " #if isinstance(coords, np.array):\n",
" ymin, ymax = coords[:,1].min(), coords[:,1].max()\n", " # xmin, xmax = coords[:,0].min(), coords[:,0].max()\n",
" # ymin, ymax = coords[:,1].min(), coords[:,1].max()\n",
" #else:\n",
" xmin, xmax = coords[0].min(), coords[0].max()\n",
" ymin, ymax = coords[1].min(), coords[1].max()\n",
"\n", "\n",
" gridx, gridy = np.mgrid[xmin:xmax:resolution, ymin:ymax:resolution]\n", " gridx, gridy = np.mgrid[xmin:xmax:resolution, ymin:ymax:resolution]\n",
" \n", " \n",
@ -418,6 +440,15 @@
"plt.show()" "plt.show()"
] ]
}, },
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"data.shape, filtered_data.shape"
]
},
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": null,
@ -425,7 +456,8 @@
"outputs": [], "outputs": [],
"source": [ "source": [
"treshold = -1\n", "treshold = -1\n",
"raster = rasterize(data[:treshold,:2], should_have_keep_idata[:treshold], 0.5, 'nearest')\n", "#raster = rasterize(data[:treshold,:2], should_have_keep_idata[:treshold], 0.5, 'nearest')\n",
"raster = rasterize(data[:,:2], filtered_data, 0.5, 'cubic')\n",
"\n", "\n",
"plt.figure(figsize=figsize)\n", "plt.figure(figsize=figsize)\n",
"plt.imshow(raster.T, origin='lower')\n", "plt.imshow(raster.T, origin='lower')\n",
@ -438,7 +470,21 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"plt.imsave('../Res/my_raster.png', raster.T, origin='lower')" "#raster = rasterize(data[:treshold,:2], should_have_keep_idata[:treshold], 0.5, 'nearest')\n",
"raster = rasterize((infile.x, infile.y), infile.num_returns, 1, 'nearest')\n",
"\n",
"plt.figure(figsize=figsize)\n",
"plt.imshow(raster.T, origin='lower')\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"plt.imsave('../Res/my_raster_cubic.png', raster.T, origin='lower')"
] ]
}, },
{ {