Notebook to process samples

.gitignore

@@ -7,3 +7,4 @@ src/objs
 build
 .DS_Store
 *.exr
+.ipynb_checkpoints

tools/rpf.ipynb

@@ -0,0 +1,92 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import struct\n",
+    "import cv2 as cv\n",
+    "from sklearn.feature_selection import mutual_info_regression\n",
+    "from sklearn.preprocessing import scale"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "100 100 8 28\n"
+     ]
+    }
+   ],
+   "source": [
+    "with open('../scenes/sample.dat', 'rb') as f:\n",
+    "    fileContent = f.read()\n",
+    "    width, height, spp, SL = struct.unpack(\"QQQQ\", fileContent[:32])\n",
+    "    m = struct.unpack(\"f\" * ((len(fileContent) - 32) // 4), fileContent[32:])\n",
+    "print(width, height, spp, SL)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def preprocess(x, y, b, M):\n",
+    "    N = np.random.normal(scale=b/4, size=(M - spp, 1))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "boxSizes = [55, 35, 17, 7]\n",
+    "for t in range(4):\n",
+    "    b = boxSizes[t]\n",
+    "    maxNumOfSamples = (b * b * spp) // 2\n",
+    "    for i in range(height):\n",
+    "        for j in range(width):\n",
+    "            N = preprocess(i, j, b, maxNumOfSamples)"
+   ]
+  },
+  {
+   "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": "3.9.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}