example of encoding

madhavkhoslaa · Oct 13, 2019 · c5407fb · c5407fb
1 parent bd01139
commit c5407fb
Showing 1 changed file with 194 additions and 0 deletions.
diff --git a/example.ipynb b/example.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from utils.one_hot_encoder import HotEncoder\n",
+    "import  numpy as np\n",
+    "import torch\n",
+    "import skimage\n",
+    "import matplotlib.pyplot as plt\n",
+    "import skimage"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Image= skimage.io.imread(\"/home/fatjuicyboi/Downloads/kitti/training/semantic_rgb/000051_10.png\")\n",
+    "encoder= HotEncoder(dir= '/home/fatjuicyboi/Downloads/kitti/training/semantic_rgb', extension=\"png\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7fd21271a490>"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "skimage.io.imshow(Image)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Generating Color Pallte to Hot Encode: 100%|██████████| 200/200 [05:27<00:00,  1.63s/it]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "{(107, 142, 35): 1,\n",
+       " (70, 130, 180): 2,\n",
+       " (70, 70, 70): 3,\n",
+       " (153, 153, 153): 4,\n",
+       " (0, 0, 0): 5,\n",
+       " (220, 20, 60): 6,\n",
+       " (0, 0, 230): 7,\n",
+       " (119, 11, 32): 8,\n",
+       " (0, 0, 142): 9,\n",
+       " (111, 74, 0): 10,\n",
+       " (220, 220, 0): 11,\n",
+       " (244, 35, 232): 12,\n",
+       " (128, 64, 128): 13,\n",
+       " (152, 251, 152): 14,\n",
+       " (0, 0, 70): 15,\n",
+       " (255, 0, 0): 16,\n",
+       " (230, 150, 140): 17,\n",
+       " (190, 153, 153): 18,\n",
+       " (250, 170, 30): 19,\n",
+       " (250, 170, 160): 20,\n",
+       " (81, 0, 81): 21,\n",
+       " (180, 165, 180): 22,\n",
+       " (102, 102, 156): 23,\n",
+       " (150, 100, 100): 24,\n",
+       " (0, 60, 100): 25,\n",
+       " (0, 80, 100): 26,\n",
+       " (0, 0, 110): 27,\n",
+       " (0, 0, 90): 28,\n",
+       " (150, 120, 90): 29}"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "color_dict= encoder.gen_colors()\n",
+    "color_dict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "onehottt= encoder.PerPixelClassMatrix(Image)\n",
+    "encoded= encoder.HotEncode(onehottt)\n",
+    "ch= encoder.channelSplit(encoded)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
+      "Lossy conversion from float64 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n"
+     ]
+    }
+   ],
+   "source": [
+    "for _ in range(29):\n",
+    "    skimage.io.imsave(arr= ch[_], fname= str(_)+\".jpeg\")\n"
+   ]
+  }
+ ],
+ "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": "3.7.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}