Merge pull request #6884 from alalek:migration
This commit is contained in:
@@ -82,4 +82,4 @@ Block Matching algorithm has been successfully parallelized using the following
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3. Merge the results into a single disparity map.
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With this algorithm, a dual GPU gave a 180% performance increase comparing to the single Fermi GPU.
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For a source code example, see <https://github.com/Itseez/opencv/tree/master/samples/gpu/>.
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For a source code example, see <https://github.com/opencv/opencv/tree/master/samples/gpu/>.
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@@ -425,7 +425,7 @@ CV_EXPORTS_W double getWindowProperty(const String& winname, int prop_id);
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@param winname Name of the window.
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@param onMouse Mouse callback. See OpenCV samples, such as
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<https://github.com/Itseez/opencv/tree/master/samples/cpp/ffilldemo.cpp>, on how to specify and
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<https://github.com/opencv/opencv/tree/master/samples/cpp/ffilldemo.cpp>, on how to specify and
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use the callback.
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@param userdata The optional parameter passed to the callback.
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*/
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@@ -91,7 +91,7 @@ compensate for the differences in the size of areas. The sums of pixel values ov
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regions are calculated rapidly using integral images (see below and the integral description).
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To see the object detector at work, have a look at the facedetect demo:
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<https://github.com/Itseez/opencv/tree/master/samples/cpp/dbt_face_detection.cpp>
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<https://github.com/opencv/opencv/tree/master/samples/cpp/dbt_face_detection.cpp>
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The following reference is for the detection part only. There is a separate application called
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opencv_traincascade that can train a cascade of boosted classifiers from a set of samples.
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@@ -58,7 +58,7 @@ def deskew(img):
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class StatModel(object):
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def load(self, fn):
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self.model.load(fn) # Known bug: https://github.com/Itseez/opencv/issues/4969
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self.model.load(fn) # Known bug: https://github.com/opencv/opencv/issues/4969
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def save(self, fn):
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self.model.save(fn)
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@@ -43,7 +43,7 @@ class gaussian_mix_test(NewOpenCVTests):
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em.setCovarianceMatrixType(cv2.ml.EM_COV_MAT_GENERIC)
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em.trainEM(points)
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means = em.getMeans()
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covs = em.getCovs() # Known bug: https://github.com/Itseez/opencv/pull/4232
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covs = em.getCovs() # Known bug: https://github.com/opencv/opencv/pull/4232
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found_distrs = zip(means, covs)
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matches_count = 0
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@@ -21,7 +21,7 @@ class NewOpenCVTests(unittest.TestCase):
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repoPath = None
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extraTestDataPath = None
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# github repository url
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repoUrl = 'https://raw.github.com/Itseez/opencv/master'
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repoUrl = 'https://raw.github.com/opencv/opencv/master'
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def get_sample(self, filename, iscolor = cv2.IMREAD_COLOR):
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if not filename in self.image_cache:
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@@ -614,7 +614,7 @@ public:
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Also, when a connected camera is multi-head (for example, a stereo camera or a Kinect device), the
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correct way of retrieving data from it is to call VideoCapture::grab first and then call
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VideoCapture::retrieve one or more times with different values of the channel parameter. See
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<https://github.com/Itseez/opencv/tree/master/samples/cpp/openni_capture.cpp>
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<https://github.com/opencv/opencv/tree/master/samples/cpp/openni_capture.cpp>
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*/
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CV_WRAP virtual bool grab();
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@@ -16,7 +16,7 @@ For Release: OpenCV-Linux Beta4 opencv-0.9.6
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Tested On: LMLBT44 with 8 video inputs
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Problems? Post your questions at answers.opencv.org,
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Report bugs at code.opencv.org,
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Submit your fixes at https://github.com/Itseez/opencv/
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Submit your fixes at https://github.com/opencv/opencv/
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Patched Comments:
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TW: The cv cam utils that came with the initial release of OpenCV for LINUX Beta4
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@@ -16,7 +16,7 @@ For Release: OpenCV-Linux Beta4 opencv-0.9.6
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Tested On: LMLBT44 with 8 video inputs
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Problems? Post your questions at answers.opencv.org,
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Report bugs at code.opencv.org,
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Submit your fixes at https://github.com/Itseez/opencv/
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Submit your fixes at https://github.com/opencv/opencv/
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Patched Comments:
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TW: The cv cam utils that came with the initial release of OpenCV for LINUX Beta4
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