Commit 8b1e2e54 authored by Guillaume HEUSCH's avatar Guillaume HEUSCH

rPPG done

parent cdf5e96b
This source diff could not be displayed because it is too large. You can view the blob instead.
......@@ -36,7 +36,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 2,
"metadata": {
"scrolled": true,
"slideshow": {
......@@ -72,53 +72,13 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 3,
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"bob.extension.download@2018-12-10 15:02:27,861 -- INFO: Downloading from http://www.idiap.ch/private/wheels/gitlab/shape_predictor_68_face_landmarks.dat.bz2 ...\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"bob.extension.download@2018-12-10 15:02:27,890 -- WARNING: Could not download from the http://www.idiap.ch/private/wheels/gitlab/shape_predictor_68_face_landmarks.dat.bz2 url\n",
"Traceback (most recent call last):\n",
" File \"/idiap/user/heusch/miniconda2/envs/lab-pad/lib/python3.6/site-packages/bob/extension/download.py\", line 94, in download_and_unzip\n",
" download_file(url, filename)\n",
" File \"/idiap/user/heusch/miniconda2/envs/lab-pad/lib/python3.6/site-packages/bob/extension/download.py\", line 60, in download_file\n",
" with urlopen(url) as response:\n",
" File \"/idiap/user/heusch/miniconda2/envs/lab-pad/lib/python3.6/urllib/request.py\", line 223, in urlopen\n",
" return opener.open(url, data, timeout)\n",
" File \"/idiap/user/heusch/miniconda2/envs/lab-pad/lib/python3.6/urllib/request.py\", line 532, in open\n",
" response = meth(req, response)\n",
" File \"/idiap/user/heusch/miniconda2/envs/lab-pad/lib/python3.6/urllib/request.py\", line 642, in http_response\n",
" 'http', request, response, code, msg, hdrs)\n",
" File \"/idiap/user/heusch/miniconda2/envs/lab-pad/lib/python3.6/urllib/request.py\", line 570, in error\n",
" return self._call_chain(*args)\n",
" File \"/idiap/user/heusch/miniconda2/envs/lab-pad/lib/python3.6/urllib/request.py\", line 504, in _call_chain\n",
" result = func(*args)\n",
" File \"/idiap/user/heusch/miniconda2/envs/lab-pad/lib/python3.6/urllib/request.py\", line 650, in http_error_default\n",
" raise HTTPError(req.full_url, code, msg, hdrs, fp)\n",
"urllib.error.HTTPError: HTTP Error 404: Not Found\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"bob.extension.download@2018-12-10 15:02:27,906 -- INFO: Downloading from http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2 ...\n",
"bob.extension.download@2018-12-10 15:02:56,077 -- INFO: Unbz2 in /idiap/user/heusch/miniconda2/envs/lab-pad/lib/python3.6/site-packages/bob/ip/dlib/data/shape_predictor_68_face_landmarks.dat.bz2\n"
]
},
{
"data": {
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\n",
......@@ -160,7 +120,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 4,
"metadata": {
"scrolled": false,
"slideshow": {
......@@ -245,7 +205,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 5,
"metadata": {
"scrolled": false,
"slideshow": {
......@@ -317,7 +277,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 6,
"metadata": {
"scrolled": false,
"slideshow": {
......@@ -376,7 +336,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 7,
"metadata": {
"slideshow": {
"slide_type": "slide"
......@@ -422,7 +382,7 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 8,
"metadata": {
"scrolled": true,
"slideshow": {
......@@ -452,7 +412,7 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 9,
"metadata": {
"slideshow": {
"slide_type": "slide"
......@@ -476,17 +436,9 @@
"from plot import plot_det\n",
"plot_det([scores_dev_attack, scores_dev_real], [scores_eval_attack, scores_eval_real], [1, 60, 1, 60])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"celltoolbar": "Slideshow",
"kernelspec": {
"display_name": "Python 3",
"language": "python",
......
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