pointclouds baby

GitwellAnyohub · Aug 23, 2018 · 09b9d0f · 09b9d0f
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diff --git a/data_acquisition/Viz_PointCloud.ipynb b/data_acquisition/Viz_PointCloud.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#install pointcloud with\n",
+    "#conda install numpy\n",
+    "#conda install numba\n",
+    "#conda install cython\n",
+    "#conda install pandas\n",
+    "#conda install scipy\n",
+    "\n",
+    "import pyntcloud"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "180731_000001\r\n",
+      "180731_000002\r\n",
+      "180731_000003\r\n",
+      "180801_000001\r\n",
+      "180816_000001\r\n",
+      "180820_000001\r\n",
+      "binary2mp4.ipynb\r\n",
+      "canonical-params.json\r\n",
+      "CFvsCT.png\r\n",
+      "CFvsFS.png\r\n",
+      "compression_test.ipynb\r\n",
+      "convert_bag_2_mp4.ipynb\r\n",
+      "d415_acquisition_color_and_rgb_and_compress.ipynb\r\n",
+      "d415_acquisition_color_and_rgb.ipynb\r\n",
+      "d415_acquisition_color_and_rgb_ply_and_compress.ipynb\r\n",
+      "d415_acquisition_for_leap.ipynb\r\n",
+      "d415_acquisition.ipynb\r\n",
+      "d415_acquisition_process_depth_and_color.ipynb\r\n",
+      "d415_acquisition_process_only.ipynb\r\n",
+      "d415_acquisition_save_mp4.ipynb\r\n",
+      "d415paramset_1.json\r\n",
+      "d415paramset_640480.json\r\n",
+      "d415paramset_848480_2.json\r\n",
+      "d415paramset_848480.json\r\n",
+      "d415_rgb_acquisition_save_mp4.ipynb\r\n",
+      "d415_RGB_paramset_640480.json\r\n",
+      "dlc_Movie\r\n",
+      "FSvsCT.png\r\n",
+      "glassbox\r\n",
+      "Mini_Batch_Results.png\r\n",
+      "nowalls\r\n",
+      "plytest\r\n",
+      "pointcloud\r\n",
+      "sdsb.cpp\r\n",
+      "sr300_acquisition_color_and_rgb_and_compress.ipynb\r\n",
+      "sr300_acquisition_for_leap.ipynb\r\n",
+      "sr300test\r\n",
+      "sr300test2\r\n",
+      "sr300test3\r\n",
+      "Viz_PointCloud.ipynb\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "!ls"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "94740ddbfe434c6dbf7e947c3fd677f5",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Renderer(camera=PerspectiveCamera(aspect=1.6, fov=90.0, position=(0.015767041593790054, 0.27228369750082493, 3…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "251a307a03b2486ba8e1371fd31078a1",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "HBox(children=(Label(value='Point size:'), FloatSlider(value=0.24246833324432374, max=2.4246833324432373, step…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pc = pyntcloud.PyntCloud.from_file(\"pointcloud/000001.ply\")\n",
+    "\n",
+    "pc.plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}