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Fixing all wrong uses of RGB channels instead of the OpenCV BGR standard

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StevenPuttemans
2015-04-30 10:51:16 +02:00
parent 5c12c92243
commit f4eebc46b2
16 changed files with 31 additions and 31 deletions
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6
doc/user_guide/ug_intelperc.rst
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@@ -7,7 +7,7 @@ Senz3D and Intel Perceptual Computing SDK
Using Creative Senz3D and other Intel Perceptual Computing SDK compatible depth sensors
=======================================================================================
Depth sensors compatible with Intel Perceptual Computing SDK are supported through ``VideoCapture`` class. Depth map, RGB image and some other formats of output can be retrieved by using familiar interface of ``VideoCapture``.
Depth sensors compatible with Intel Perceptual Computing SDK are supported through ``VideoCapture`` class. Depth map, BGR image and some other formats of output can be retrieved by using familiar interface of ``VideoCapture``.
In order to use depth sensor with OpenCV you should do the following preliminary steps:
@@ -28,7 +28,7 @@ VideoCapture can retrieve the following data:
* ``CV_CAP_INTELPERC_UVDEPTH_MAP`` - each pixel contains two 32-bit floating point values in the range of 0-1, representing the mapping of depth coordinates to the color coordinates. (CV_32FC2)
* ``CV_CAP_INTELPERC_IR_MAP`` - each pixel is a 16-bit integer. The value indicates the intensity of the reflected laser beam. (CV_16UC1)
#.
data given from RGB image generator:
data given from BGR image generator:
* ``CV_CAP_INTELPERC_IMAGE`` - color image. (CV_8UC3)
In order to get depth map from depth sensor use ``VideoCapture::operator >>``, e. g. ::
@@ -76,4 +76,4 @@ Since two types of sensor's data generators are supported (image generator and d
For more information please refer to the example of usage intelperc_capture.cpp_ in ``opencv/samples/cpp`` folder.
.. _intelperc_capture.cpp: https://github.com/Itseez/opencv/tree/master/samples/cpp/intelperc_capture.cpp
.. _intelperc_capture.cpp: https://github.com/Itseez/opencv/tree/master/samples/cpp/intelperc_capture.cpp

6
doc/user_guide/ug_kinect.rst
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@@ -7,7 +7,7 @@ Kinect and OpenNI
Using Kinect and other OpenNI compatible depth sensors
======================================================
Depth sensors compatible with OpenNI (Kinect, XtionPRO, ...) are supported through ``VideoCapture`` class. Depth map, RGB image and some other formats of output can be retrieved by using familiar interface of ``VideoCapture``.
Depth sensors compatible with OpenNI (Kinect, XtionPRO, ...) are supported through ``VideoCapture`` class. Depth map, BGR image and some other formats of output can be retrieved by using familiar interface of ``VideoCapture``.
In order to use depth sensor with OpenCV you should do the following preliminary steps:
@@ -47,7 +47,7 @@ VideoCapture can retrieve the following data:
* ``CV_CAP_OPENNI_DISPARITY_MAP_32F`` - disparity in pixels (CV_32FC1)
* ``CV_CAP_OPENNI_VALID_DEPTH_MASK`` - mask of valid pixels (not ocluded, not shaded etc.) (CV_8UC1)
#.
data given from RGB image generator:
data given from BGR image generator:
* ``CV_CAP_OPENNI_BGR_IMAGE`` - color image (CV_8UC3)
* ``CV_CAP_OPENNI_GRAY_IMAGE`` - gray image (CV_8UC1)
@@ -69,7 +69,7 @@ For getting several data maps use ``VideoCapture::grab`` and ``VideoCapture::ret
for(;;)
{
Mat depthMap;
Mat rgbImage
Mat bgrImage;
capture.grab();