The cascade classifier changes its structure on new version of OpenCV 2.4.11.
It is need to migrate to C++ to utilize the new load method of OpenCV which
allows to load the old and new classifiers.
https://bugzilla.gnome.org/show_bug.cgi?id=752528
Change the gsthanddetect.c file to cpp and add it into Makefile.
It is necessary to migrate the handdetect plugin to C++,
in order to load new and old classifiers, to make handdetect work
with newer versions of Opencv.
https://bugzilla.gnome.org/show_bug.cgi?id=752528
Transform is set to be done in place in gstcvdilateerode.c, so the in-place
transform function is always used and the other is redundant. Removing it.
https://bugzilla.gnome.org/show_bug.cgi?id=753885
Transform is set to be done in place in gstcvdilateerode.c, so the in-place
transform function is always used and the other is redundant. Removing it.
https://bugzilla.gnome.org/show_bug.cgi?id=753885
When running GStreamer from uninstalled sources, the location of the haar
cascade files will be local. Check if running in uninstalled and set the
file paths accordingly.
The cvSmooth cvNot functions and do not have the correct input parameters.
Furthermore, cvSmooth function is not necessary for edge detection,
because the Canny function makes the step of smoothing the image.
And cvNot function is useless because there aren't changes if this
function is eliminated.
https://bugzilla.gnome.org/show_bug.cgi?id=754148
The cascade classifier changes its structure on new version of OpenCV 2.4.11.
It is need to migrate to C++ to utilize the new load method of OpenCV which
allows to load the old and new classifiers.
https://bugzilla.gnome.org/show_bug.cgi?id=753994
For PROP_PROFILE case that exist inside gst_face_blur_set_property
function loads the new XML file in the CvHaarClassifierCascade property
without first checking that it is released because maybe there is an XML
file previously loaded.
https://bugzilla.gnome.org/show_bug.cgi?id=753994
Changes inside the gst_face_blur_load_profile function, the number of
input parameters and in lines where it is used due to it cannot be used
generically.
https://bugzilla.gnome.org/show_bug.cgi?id=753994
Change the gstfaceblur.c file to cpp and add it into Makefile.
It is necessary to migrate the faceblur plugin to C++,
in order to load new and old classifiers, to make faceblur work
with newer versions of Opencv.
https://bugzilla.gnome.org/show_bug.cgi?id=753994
Some distributions store OpenCV files in /usr/share/opencv and some others
(and default when building from source) install them in
/usr/share/OpenCV. Support both to find cascade files.
https://bugzilla.gnome.org/show_bug.cgi?id=753651
Checking the vector is not empty and checking the vector size is greater
than zero are the same thing, this is a redundancy in the code. Only
checking the vector is not empty is sufficient, therefore removing the
other check.
Since the profile gchar depends on DEFAULT_FACE_PROFILE, it should never be
NULL. Furthermore CascadeClassifier accepts any input, even
an empty one, but if the profile fails to load it returns an empty cascade.
Check for this instead, and inform the user if there was an Error.
Check if profile is NULL before dereferencing it with new. Also, new will
never return NULL; if allocation fails, a std::bad_alloc exception will be
thrown instead. Remove check for a NULL return.
CID #1315258
With the switch of gstopencv.c to C++, all OpenCV elements are built with
g++. The template variable clashes with C++'s feature of the same name.
Rename template to templ to avoid any clash.
The cascade classifier changes its structure on new version of OpenCV.
The need to migrate to C++ to utilize the new load method of OpenCV which
allows to load the new classifiers.
https://bugzilla.gnome.org/show_bug.cgi?id=748377
The property level has a minimum value of 0. But when we set the level as 0,
it gets an assertion error. The function icvPyrSegmentation8uC3R returns false
if level is set as 0, since the minimum level cant be 0 and thus results in error.
Hence changing the minimum value to 1.
https://bugzilla.gnome.org/show_bug.cgi?id=749525
Variable hands is already checked to contain a value previously at the beginning
of the current block. There is no need to check again. This is logically dead code.
CID 1197693
If old opencv1-style legacy include directory is available,
this change becomes purely cosmetic (maybe will compile a bit faster).
It becomes an FTBFS fix when opencv1-style include directory is missing
(possibly because opencv package maintainer decided not to pack it).
https://bugzilla.gnome.org/show_bug.cgi?id=747705
If searchIdx() doesn't find the id it returns -1, which breaks
motioncelssvector.at (idx). Check for it and return if not found.
Changing a few other lines for style consistency.
Some variables are not initialized in the constructor. It is highly unlikely
they are used before being set, but it is safer to initialize them.
CID #1197704
Variable hands is already checked to contain a value previously at the beginning
of the current block (in line 504). There is no need to check again. This is
logically dead code.
CID 1197693
face detection will be performed only if image standard deviation is
greater that min-stddev. Default min-stddev is 0 for backward
compatibility. This property will avoid to perform face detection on
images with little changes improving cpu usage and reducing false
positives
https://bugzilla.gnome.org/show_bug.cgi?id=730510
templatematch operates on BGR data. In fact, OpenCV's IplImage always
stores color image data in BGR order -- this isn't documented at all in
the OpenCV source code, but there are hints around the web (see for
example
http://www.cs.iit.edu/~agam/cs512/lect-notes/opencv-intro/opencv-intro.html#SECTION00041000000000000000
and http://www.comp.leeds.ac.uk/vision/opencv/iplimage.html ).
gst_templatematch_load_template loads the template (the image to find)
from disk using OpenCV's cvLoadImage, so it is stored in an IplImage in
BGR order. But in gst_templatematch_chain, no OpenCV conversion
functions are used: the imageData pointer of the IplImage for the video
frame (the image to search in) is just set to point to the raw buffer
data. Without this fix, that raw data is in RGB order, so the call to
cvMatchTemplate ends up comparing the template's Blue channel against
the frame's Red channel, producing very poor results.
Previously changing the template property resulted in an exception
thrown from cvMatchTemplate, because "dist_image" (the intermediate
match-certainty-distribution) was the wrong size (because the
template image size had changed).
Locking has also been added to allow changing the properties (e.g. the
pattern to match) while the pipeline is playing.
* gst_element_post_message is moved outside of the lock, because it will
call into arbitrary user code (otherwise, if that user code calls into
gst_templatematch_set_property on this same thread it would deadlock).
* gst_template_match_load_template: If we fail to load the new template
we still unload the previous template, so this element becomes a no-op
in the pipeline. The alternative would be to keep the previous template;
I believe unloading the previous template is a better choice, because it
is consistent with the state this element would be in if it fails to
load the very first template at start-up.
Thanks to Will Manley for the bulk of this work; any errors are probably
mine.
The early return was bypassing the call to gst_pad_push. With no
filter->template (and thus no filter->cvTemplateImage) the rest of this
function is essentially a no-op (except for the call to gst_pad_push).
This (plus the previous commit) allows templatematch to be
enabled/disabled without removing it entirely from the pipeline, by
setting/unsetting the template property.
First this is handle by base transform, hence this is a no-op, and if it wasn't it
would lead to a buffer copy being leaked, and then an unreffed buffer being
pushed downstream.
https://bugzilla.gnome.org/show_bug.cgi?id=732756
Previously faces would only be detected if they were at least 30x30 pixels
large and at most 32x32 pixels. We keep the minimum setting (maybe needs
a property as in facedetect) but disable the maximum feature size.
See https://bugzilla.gnome.org/show_bug.cgi?id=722158
This disables the "max feature size" feature. The current configuration
is totally busted: The max feature size is hard-coded to 2 pixels more
than the user-supplied min feature size which pretty much means you need
to guess the size of the person's face to within a few pixels to get the
code to find it.
https://bugzilla.gnome.org/show_bug.cgi?id=722158
Fixes:
In file included from gstsegmentation.h:51:0,
from gstopencv.c:42:
/usr/include/opencv2/video/background_segm.hpp:47:16: fatal error: list:
No such file or directory
#include <list>
^
compilation terminated.
https://bugzilla.gnome.org/show_bug.cgi?id=702297
Add colour image enhancement element based on Retinex algorithm. Two types
exist, namely basic and multiscale; both are described in this article:
Rahman, Zia-ur, Daniel J. Jobson, and Glenn A. Woodell. "Multi-scale retinex
for color image enhancement." Image Processing, 1996. Proceedings.,
International Conference on. Vol. 3. IEEE, 1996
Visually speaking the result looks a bit funny, but is pretty invariable to
lightning changes, which is good for some applications, like image
segmentation.
https://bugzilla.gnome.org/show_bug.cgi?id=700977
