update

notebooks/ade20k_starter.ipynb

@@ -10,26 +10,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "ln: failed to create symbolic link './utils': File exists\n",
+      "ln: ./utils: File exists\n",
-      "ln: failed to create symbolic link './dataset': File exists\n",
+      "ln: ./dataset: File exists\n",
-      "--2021-02-28 10:56:34--  http://groups.csail.mit.edu/vision/datasets/ADE20K/toolkit/index_ade20k.pkl\n",
+      "--2021-05-12 21:27:23--  http://groups.csail.mit.edu/vision/datasets/ADE20K/toolkit/index_ade20k.pkl\n",
-      "Resolving groups.csail.mit.edu (groups.csail.mit.edu)... 128.30.2.44\n",
+      "Resolving groups.csail.mit.edu... 128.30.2.44\n",
-      "Connecting to groups.csail.mit.edu (groups.csail.mit.edu)|128.30.2.44|:80... connected.\n",
+      "Connecting to groups.csail.mit.edu|128.30.2.44|:80... connected.\n",
       "HTTP request sent, awaiting response... 200 OK\n",
       "Length: 817537016 (780M)\n",
-      "Saving to: ‘index_ade20k.pkl’\n",
+      "Saving to: 'index_ade20k.pkl'\n",
       "\n",
-      "index_ade20k.pkl    100%[===================>] 779.66M  65.8MB/s    in 12s     \n",
+      "index_ade20k.pkl      0%[                    ]   5.75M  12.6KB/s    eta 13h 54m^C\n"
-      "\n",
-      "2021-02-28 10:57:44 (63.1 MB/s) - ‘index_ade20k.pkl’ saved [817537016/817537016]\n",
-      "\n"
      ]
     }
    ],
@@ -322,7 +319,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.1"
+   "version": "3.7.3"
   }
  },
  "nbformat": 4,

notebooks/dataset

@@ -0,0 +1 @@
+../dataset/

notebooks/mask_generation.ipynb

@@ -0,0 +1,106 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The autoreload extension is already loaded. To reload it, use:\n",
+      "  %reload_ext autoreload\n"
+     ]
+    }
+   ],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2\n",
+    "import IPython.display\n",
+    "import matplotlib.pyplot as plt\n",
+    "import cv2\n",
+    "import numpy as np\n",
+    "import pickle as pkl\n",
+    "from utils import utils_ade20k\n",
+    "import os"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "DATASET_PATH = '../dataset/ADE20K_2021_17_01/images/ADE/training/urban/street'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "KeyError",
+     "evalue": "'partclass_mask'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-8-0eeb232ce9a7>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconcatenate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mseg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mseg_mask\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'off'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 15\u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'partclass_mask'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     16\u001b[0m     \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minfo\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'partclass_mask'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     17\u001b[0m     \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtitle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Parts'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mKeyError\u001b[0m: 'partclass_mask'"
+     ]
+    }
+   ],
+   "source": [
+    "root_path = DATASET_PATH\n",
+    "info = {}\n",
+    "info['img_name']=os.path.join(DATASET_PATH,'ADE_train_00016869.jpg')\n",
+    "info['segm_name']=os.path.join(DATASET_PATH,'ADE_train_00016869_seg.png')\n",
+    "img = cv2.imread(info['img_name'])[:,:,::-1]\n",
+    "seg = cv2.imread(info['segm_name'])[:,:,::-1]\n",
+    "seg_mask = seg.copy()\n",
+    "\n",
+    "# The 0 index in seg_mask corresponds to background (not annotated) pixels\n",
+    "#seg_mask[info['class_mask'] != obj_id+1] *= 0\n",
+    "plt.figure(figsize=(15,5))\n",
+    "\n",
+    "plt.imshow(np.concatenate([img, seg, seg_mask], 1))\n",
+    "plt.axis('off')\n",
+    "if len(info['partclass_mask']):\n",
+    "    plt.figure(figsize=(5*len(info['partclass_mask']), 5))\n",
+    "    plt.title('Parts')\n",
+    "    plt.imshow(np.concatenate(info['partclass_mask'],1))\n",
+    "    plt.axis('off')"
+   ]
+  },
+  {
+   "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": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

notebooks/utils

@@ -0,0 +1 @@
+../utils/