From c13dba86b2dbe581353b72602d7fa6e40991964c Mon Sep 17 00:00:00 2001 From: natanielruiz <nataniel777@hotmail.com> Date: 星期三, 27 九月 2017 04:11:23 +0800 Subject: [PATCH] next --- practice/.ipynb_checkpoints/load_AFLW-Copy1-checkpoint.ipynb | 55 ++++++++++++++++++++++++++++++++++++++++++------------- 1 files changed, 42 insertions(+), 13 deletions(-) diff --git a/practice/.ipynb_checkpoints/load_AFLW-Copy1-checkpoint.ipynb b/practice/.ipynb_checkpoints/load_AFLW-Copy1-checkpoint.ipynb index edac84d..856fbb4 100644 --- a/practice/.ipynb_checkpoints/load_AFLW-Copy1-checkpoint.ipynb +++ b/practice/.ipynb_checkpoints/load_AFLW-Copy1-checkpoint.ipynb @@ -31,16 +31,24 @@ "source": [ "#Change this paths according to your directories\n", "images_path = \"/Data/nruiz9/data/facial_landmarks/AFLW/aflw/data/flickr/\"\n", - "storing_path = \"/Data/nruiz9/data/facial_landmarks/AFLW/aflw_cropped/\"" + "storing_path = \"/Data/nruiz9/data/facial_landmarks/AFLW/aflw_cropped_loose/\"" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Done\n" + ] + } + ], "source": [ "#Image counter\n", "counter = 1\n", @@ -92,17 +100,19 @@ " face_h = row[8]\n", "\n", " #Error correction\n", - " if(face_x < 0): face_x = 0\n", - " if(face_y < 0): face_y = 0\n", - " if(face_w > image_w): \n", - " face_w = image_w\n", - " face_h = image_w\n", - " if(face_h > image_h): \n", - " face_h = image_h\n", - " face_w = image_h\n", - "\n", + " k = 0.35\n", + " x_min = face_x - face_w * k * 0.6\n", + " x_max = face_x + face_w + face_w * k * 0.6\n", + " y_min = face_y - face_h * k * 2\n", + " y_max = face_y + face_h + face_h * k * 0.6\n", + " \n", + " x_min = int(max(0, x_min))\n", + " x_max = int(min(image_w, x_max))\n", + " y_min = int(max(0, y_min))\n", + " y_max = int(min(image_h, y_max))\n", + " \n", " #Crop the face from the image\n", - " image_cropped = np.copy(image[face_y:face_y+face_h, face_x:face_x+face_w])\n", + " image_cropped = np.copy(image[y_min:y_max, x_min:x_max])\n", " #Uncomment the lines below if you want to rescale the image to a particular size\n", " to_size = 240\n", " image_cropped = cv2.resize(image_cropped, (to_size,to_size), interpolation = cv2.INTER_AREA)\n", @@ -134,6 +144,25 @@ }, { "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "test\n" + ] + } + ], + "source": [ + "print 'test'" + ] + }, + { + "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true -- Gitblit v1.8.0