BIWI tests

natanielruiz

2017-09-23 d9781608243c42d55ced0c1d529f25eb30aeceb9

 practice/smoothing_ypr.ipynb

@@ -3,9 +3,7 @@
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
@@ -17,33 +15,29 @@
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "video_path = '../data/video/SWC016_2016_04_08_pivothead_AVI.avi'\n",
    "bbox_path = '../data/video/annotations/SWC016_childface.txt'\n",
    "video_path = '../data/video/SGT036_2016_07_25_pivothead_AVI.avi'\n",
    "bbox_path = '../data/video/annotations/SGT036_childface.txt'\n",
    "\n",
    "annot_path = '../output/video/output-SWC016_normal_1e-5_epoch_20.txt'\n",
    "output_string = 'SWC016_normal_1e-5_epoch_20_smooth'"
    "annot_path = '../output/video/output-SGT036_set4_normal_a1_epoch_25.txt'\n",
    "output_string = 'SGT036_set4_normal_a1_epoch_25_smooth'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ -1.15884  -14.885593 -16.727406 ..., -57.590378 -56.963156 -58.641377]\n",
      "(9322,)\n",
      "(63691,)\n"
      "[ 2.843239  6.065323  6.614468 ..., -0.936905 -1.396786 -3.20248 ]\n",
      "(8508,)\n",
      "(53464,)\n"
     ]
    }
   ],
@@ -93,10 +87,8 @@
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
@@ -107,7 +99,7 @@
    }
   ],
   "source": [
    "window_len = 7\n",
    "window_len = 3\n",
    "pad = window_len / 2\n",
    "window = 'flat'\n",
    "window_2 = 'flat'\n",
@@ -160,9 +152,7 @@
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
@@ -174,11 +164,20 @@
   ],
   "source": [
    "video = cv2.VideoCapture(video_path)\n",
    "width = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))   # float\n",
    "height = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT)) # float\n",
    "# New cv2\n",
    "# width = int(video.get(cv2.CAP_PROP_FRAME_WIDTH))   # float\n",
    "# height = int(video.get(cv2.CAP_PROP_FRAME_HEIGHT)) # float\n",
    "#\n",
    "# # Define the codec and create VideoWriter object\n",
    "# fourcc = cv2.VideoWriter_fourcc(*'MJPG')\n",
    "# out = cv2.VideoWriter('output/video/output-%s.avi' % args.output_string, fourcc, 30.0, (width, height))\n",
    "\n",
    "# Old cv2\n",
    "width = int(video.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH))   # float\n",
    "height = int(video.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)) # float\n",
    "\n",
    "# Define the codec and create VideoWriter object\n",
    "fourcc = cv2.VideoWriter_fourcc(*'MJPG')\n",
    "fourcc = cv2.cv.CV_FOURCC(*'MJPG')\n",
    "out = cv2.VideoWriter('../output/video/output-%s.avi' % output_string, fourcc, 30.0, (width, height))\n",
    "\n",
    "txt_out = open('../output/video/output-%s.txt' % output_string, 'w')\n",
@@ -234,9 +233,9 @@
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "display_name": "Python 2",
   "language": "python",
   "name": "conda-root-py"
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
@@ -248,7 +247,7 @@
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
   "version": "2.7.13"
  }
 },
 "nbformat": 4,