From 2e1ead5d9d816e6c9afe9448776da2045defa425 Mon Sep 17 00:00:00 2001 From: Caesar2011 Date: Tue, 15 May 2018 18:04:51 +0200 Subject: [PATCH] Hausaufgabe 4 - Noise Update --- assignments/03_assignment.ipynb | 6 +++--- assignments/04_assignment.ipynb | 28 +++++++++++++++------------- 2 files changed, 18 insertions(+), 16 deletions(-) diff --git a/assignments/03_assignment.ipynb b/assignments/03_assignment.ipynb index e663842..c358c4c 100644 --- a/assignments/03_assignment.ipynb +++ b/assignments/03_assignment.ipynb @@ -314,7 +314,7 @@ "language_info": { "codemirror_mode": { "name": "ipython", - "version": 3 + "version": 3.0 }, "file_extension": ".py", "mimetype": "text/x-python", @@ -325,5 +325,5 @@ } }, "nbformat": 4, - "nbformat_minor": 1 -} + "nbformat_minor": 0 +} \ No newline at end of file diff --git a/assignments/04_assignment.ipynb b/assignments/04_assignment.ipynb index 14fd037..d544a90 100644 --- a/assignments/04_assignment.ipynb +++ b/assignments/04_assignment.ipynb @@ -82,7 +82,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 17, "metadata": { "collapsed": true }, @@ -93,15 +93,15 @@ "" ] }, - "execution_count": 12, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -114,18 +114,18 @@ " You may find a window that is contant in the images.\n", " \"\"\"\n", " # your code here\n", - " WINDOW_SIZE = 16\n", - " SHIFT = 16\n", + " WINDOW_SIZE = 4\n", + " SHIFT = 4\n", " w, h, d = img.shape\n", - " std_min = np.inf\n", + " std = []\n", " for ox in range(0, w-WINDOW_SIZE+1, SHIFT):\n", " for oy in range(0, h-WINDOW_SIZE+1, SHIFT):\n", " std_sum = np.std(img[ox:ox+WINDOW_SIZE, oy:oy+WINDOW_SIZE, 0]) + \\\n", " np.std(img[ox:ox+WINDOW_SIZE, oy:oy+WINDOW_SIZE, 0]) + \\\n", " np.std(img[ox:ox+WINDOW_SIZE, oy:oy+WINDOW_SIZE, 0])\n", - " std_min = min(std_min, std_sum)\n", + " std.append(std_sum)\n", " \n", - " return std_min\n", + " return np.average(std)\n", "\n", "plt.bar(range(len(sample_images)), [qualify_noise(i) for i in sample_images])" ] @@ -308,7 +308,9 @@ "execution_count": 27, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "" + ] } ], "metadata": { @@ -320,7 +322,7 @@ "language_info": { "codemirror_mode": { "name": "ipython", - "version": 3 + "version": 3.0 }, "file_extension": ".py", "mimetype": "text/x-python", @@ -331,5 +333,5 @@ } }, "nbformat": 4, - "nbformat_minor": 1 -} + "nbformat_minor": 0 +} \ No newline at end of file