From 41668342eb34d231acb1238429635beffa387d9d Mon Sep 17 00:00:00 2001
From: Guillaume Heusch <guillaumeheusch@Guillaumes-MacBook-Pro.local>
Date: Wed, 27 Jun 2018 15:36:21 +0200
Subject: [PATCH] [doc] fixed command-line examples
---
doc/guide_chrom.rst | 4 ++--
doc/guide_cvpr14.rst | 8 ++++----
doc/guide_ssr.rst | 4 ++--
3 files changed, 8 insertions(+), 8 deletions(-)
diff --git a/doc/guide_chrom.rst b/doc/guide_chrom.rst
index 8d27144..72ce4a2 100644
--- a/doc/guide_chrom.rst
+++ b/doc/guide_chrom.rst
@@ -94,11 +94,11 @@ given below.
The execution of this script is very slow - mainly due to the face detection.
You can speed it up using the gridtk_ (especially, if you're at Idiap). For example::
- $ ./bin/jman sub -t 3490 -- ./bin/bob_rppg_chrom_pulse.py cohface
+ $ ./bin/jman sub -t 3490 -- ./bin/bob_rppg_chrom_pulse.py config.py
The number of jobs (i.e. 3490) is given by typing::
- $ ./bin/bob_rppg_chrom_pulse.py cohface --gridcount
+ $ ./bin/bob_rppg_chrom_pulse.py config.py --gridcount
.. _gridtk: https://pypi.python.org/pypi/gridtk
diff --git a/doc/guide_cvpr14.rst b/doc/guide_cvpr14.rst
index 5dd152d..0ae80b3 100644
--- a/doc/guide_cvpr14.rst
+++ b/doc/guide_cvpr14.rst
@@ -84,7 +84,7 @@ the command-line overrides the configuration file though.
The number of jobs (i.e. 3490) is given by typing::
- $ ./bin/bob_rppg_cvpr14_extract_face_and_bg_signals.py cohface --gridcount
+ $ ./bin/bob_rppg_cvpr14_extract_face_and_bg_signals.py config.py --gridcount
Step 2: Illumination Rectification
@@ -113,8 +113,8 @@ channel on all the segment of all sequences. By default, the threshold is set su
of all the segments will be retained. To get the signals where large motion has
been eliminated, execute the following commands::
- $ ./bin/bob_rppg_cvpr14_motion.py cohface --save-threshold threshold.txt -vv
- $ ./bin/bob_rppg_cvpr14_motion.py cohface --load-threshold threshold.txt -vv
+ $ ./bin/bob_rppg_cvpr14_motion.py config.py --save-threshold threshold.txt -vv
+ $ ./bin/bob_rppg_cvpr14_motion.py config.py --load-threshold threshold.txt -vv
Step 4: Filtering
@@ -129,7 +129,7 @@ window. Finally, a bandpass filter is applied to restrict the
frequencies to the range corresponding to a plausible heart-rate. To filter the
signal, you should execute the following command::
- $ ./bin/bob_rppg_cvpr14_filter.py cohface -vv
+ $ ./bin/bob_rppg_cvpr14_filter.py config.py -vv
A Full Configuration File Example
---------------------------------
diff --git a/doc/guide_ssr.rst b/doc/guide_ssr.rst
index d4237ab..090ee66 100644
--- a/doc/guide_ssr.rst
+++ b/doc/guide_ssr.rst
@@ -86,11 +86,11 @@ given below.
The execution of this script is very slow - mainly due to the face detection.
You can speed it up using the gridtk_ (especially, if you're at Idiap). For example::
- $ ./bin/jman sub -t 3490 -- ./bin/bob_rppg_ssr_pulse.py cohface
+ $ ./bin/jman sub -t 3490 -- ./bin/bob_rppg_ssr_pulse.py config.py
The number of jobs (i.e. 3490) is given by typing::
- $ ./bin/bob_rppg_ssr_pulse.py cohface --gridcount
+ $ ./bin/bob_rppg_ssr_pulse.py config.py --gridcount
.. _gridtk: https://pypi.python.org/pypi/gridtk
--
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