fix: Remove two empty blocks of code

Author: raphtrajano

notebooks/3-Features.ipynb

@@ -21,8 +21,7 @@
     },
     "colab": {
       "name": "3-Features.ipynb",
-      "provenance": [],
-      "toc_visible": true
+      "provenance": []
     }
   },
   "cells": [
@@ -50,15 +49,13 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 0,
       "metadata": {
-        "colab": {},
         "colab_type": "code",
         "deletable": true,
         "editable": true,
-        "id": "_8B7e-Rn5NY_"
+        "id": "_8B7e-Rn5NY_",
+        "colab": {}
       },
-      "outputs": [],
       "source": [
         "# Download the test image and utils files\n",
         "!wget --no-check-certificate \\\n",
@@ -82,7 +79,9 @@
         "\n",
         "\n",
         "input_image=cv2.imread('noidea.jpg')"
-      ]
+      ],
+      "execution_count": 0,
+      "outputs": []
     },
     {
       "cell_type": "markdown",
@@ -99,15 +98,13 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 0,
       "metadata": {
-        "colab": {},
         "colab_type": "code",
         "deletable": true,
         "editable": true,
-        "id": "JdU2qm635NZC"
+        "id": "JdU2qm635NZC",
+        "colab": {}
       },
-      "outputs": [],
       "source": [
         "harris_test=input_image.copy()\n",
         "#greyscale it\n",
@@ -125,7 +122,9 @@
         "#we then plot these on the input image for visualisation purposes, using bright red\n",
         "harris_test[dst>0.01*dst.max()]=[0,0,255]\n",
         "plt.imshow(cv2.cvtColor(harris_test, cv2.COLOR_BGR2RGB))"
-      ]
+      ],
+      "execution_count": 0,
+      "outputs": []
     },
     {
       "cell_type": "markdown",
@@ -142,18 +141,18 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 0,
       "metadata": {
-        "colab": {},
         "colab_type": "code",
         "deletable": true,
         "editable": true,
-        "id": "7z0RTbtO5NZF"
+        "id": "7z0RTbtO5NZF",
+        "colab": {}
       },
-      "outputs": [],
       "source": [
         "plt.imshow(dst,cmap = 'gray') \n"
-      ]
+      ],
+      "execution_count": 0,
+      "outputs": []
     },
     {
       "cell_type": "markdown",
@@ -182,15 +181,13 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 0,
       "metadata": {
-        "colab": {},
         "colab_type": "code",
         "deletable": true,
         "editable": true,
-        "id": "DXu8K_FJ5NZI"
+        "id": "DXu8K_FJ5NZI",
+        "colab": {}
       },
-      "outputs": [],
       "source": [
         "orbimg=input_image.copy()\n",
         "\n",
@@ -203,7 +200,9 @@
         "cv2.drawKeypoints(orbimg,kp,orbimg)\n",
         "\n",
         "plt.imshow(cv2.cvtColor(orbimg, cv2.COLOR_BGR2RGB))"
-      ]
+      ],
+      "execution_count": 0,
+      "outputs": []
     },
     {
       "cell_type": "markdown",
@@ -222,23 +221,23 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 0,
       "metadata": {
-        "colab": {},
         "colab_type": "code",
         "deletable": true,
         "editable": true,
-        "id": "xyjEKvnK5NZK"
+        "id": "xyjEKvnK5NZK",
+        "colab": {}
       },
-      "outputs": [],
       "source": [
         "img2match=np.zeros(input_image.shape,np.uint8)\n",
         "dogface=input_image[60:250, 70:350] # copy out a bit\n",
         "img2match[60:250,70:350]=[0,0,0] # blank that region\n",
         "dogface=cv2.flip(dogface,0) #flip the copy\n",
         "img2match[200:200+dogface.shape[0], 200:200+dogface.shape[1]]=dogface # paste it back somewhere else\n",
         "plt.imshow(cv2.cvtColor(img2match, cv2.COLOR_BGR2RGB))"
-      ]
+      ],
+      "execution_count": 0,
+      "outputs": []
     },
     {
       "cell_type": "markdown",
@@ -258,15 +257,13 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 0,
       "metadata": {
-        "colab": {},
         "colab_type": "code",
         "deletable": true,
         "editable": true,
-        "id": "a8pk6NeP5NZN"
+        "id": "a8pk6NeP5NZN",
+        "colab": {}
       },
-      "outputs": [],
       "source": [
         "\n",
         "kp2 = orb.detect(img2match,None)\n",
@@ -284,7 +281,9 @@
         "oimg = cv2.drawMatches(orbimg,kp,img2match,kp2,matches[:50], orbimg)\n",
         " \n",
         "plt.imshow(cv2.cvtColor(oimg, cv2.COLOR_BGR2RGB))\n"
-      ]
+      ],
+      "execution_count": 0,
+      "outputs": []
     },
     {
       "cell_type": "markdown",
@@ -301,21 +300,6 @@
         "[here](https://docs.opencv.org/3.0-beta/doc/py_tutorials/py_feature2d/py_feature_homography/py_feature_homography.html)"
       ]
     },
-    {
-      "cell_type": "code",
-      "execution_count": 0,
-      "metadata": {
-        "colab": {},
-        "colab_type": "code",
-        "deletable": true,
-        "editable": true,
-        "id": "mfFgK2Ru5NZQ"
-      },
-      "outputs": [],
-      "source": [
-        ""
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {
@@ -325,13 +309,6 @@
       "source": [
         "[Previous](2-Image_stats_and_image_processing.ipynb) [Next](4-Cascade_classification.ipynb)"
       ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {},
-      "outputs": [],
-      "source": []
     }
   ]
-}
+}