[doc] fixed command-line examples

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

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
 ---------------------------------

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