peer review changes

shogun-toolbox · Aug 18, 2014 · f2b9237 · f2b9237
1 parent c85bfce
commit f2b9237
Showing 1 changed file with 11 additions and 4 deletions.
diff --git a/doc/ipython-notebooks/computer_vision/Scene_classification.ipynb b/doc/ipython-notebooks/computer_vision/Scene_classification.ipynb
@@ -1,7 +1,7 @@
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@@ -21,7 +21,7 @@
      "level": 4,
      "metadata": {},
      "source": [
-      "By Abhijeet Kislay (GitHub ID: <a href='https://github.com/kislayabhi'>kislayabhi</a>)"
+      "By Abhijeet Kislay (GitHub ID: <a href='https://github.com/kislayabhi'>kislayabhi</a>) as a GSoC'14 project under Kevin Hughes(GitHub ID: <a href='https://github.com/pickle27'>pickle27</a>)"
      ]
     },
     {
@@ -152,7 +152,8 @@
       "sift=cv2.SIFT()\n",
       "fig = plt.figure()\n",
       "plt.title('SIFT detected Keypoints')\n",
-      "\n",
+      "plt.xticks(())\n",
+      "plt.yticks(())\n",
       "for image_no in xrange(3):\n",
       "    img=cv2.imread(filenames[0][image_no])\n",
       "    img=cv2.resize(img, (500, 300), interpolation=cv2.INTER_AREA)\n",
@@ -261,6 +262,8 @@
       "\n",
       "plt.rcParams['figure.figsize']=21,16\n",
       "fig=plt.figure()\n",
+      "plt.xticks(())\n",
+      "plt.yticks(())\n",
       "plt.title('10 training images for each class')\n",
       "for image_no in xrange(30):\n",
       "    fig.add_subplot(6,5, image_no+1)\n",
@@ -418,7 +421,9 @@
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "***4. After that, train a one-vs-all SVM for each category of object using the training data***:\n",
+      "We have to solve a multiclass classification problem here. In Shogun these are implemented in: <a href=\"http://www.shogun-toolbox.org/doc/en/latest/classshogun_1_1CMulticlassMachine.html\">MulticlassMachine</a> \n",
+      "\n",
+      "***4. We train a one-vs-all SVM for each category of object using the training data***:\n",
       "\n",
       "The following function returns a trained <a href=\"http://www.shogun-toolbox.org/doc/en/latest/classshogun_1_1CGMNPSVM.html\">GMNPSVM</a>, which is a true Multiclass SVM in Shogun employing **one vs rest** approach.\n",
       "Inputs are:\n",
@@ -479,6 +484,8 @@
       "\n",
       "plt.rcParams['figure.figsize']=20,8\n",
       "fig=plt.figure()\n",
+      "plt.xticks(())\n",
+      "plt.yticks(())\n",
       "plt.title('Test Images')\n",
       "for image_no in xrange(len(filenames[0])):\n",
       "    fig.add_subplot(3,8, image_no+1)\n",