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Fixed whitespace warnings in new tutorials
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Maksim Shabunin
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ecfd056111
@ -144,4 +144,3 @@ proper macros in their appropriate positions. Rest is done by generator scripts.
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may be an exceptional cases where generator scripts cannot create the wrappers. Such functions need
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to be handled manually. But most of the time, a code written according to OpenCV coding guidelines
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will be automatically wrapped by generator scripts.
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@ -65,4 +65,3 @@ Exercises
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-# OpenCV samples contain an example of generating disparity map and its 3D reconstruction. Check
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stereo_match.py in OpenCV-Python samples.
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@ -172,4 +172,3 @@ Exercises
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2. Fundamental Matrix estimation is sensitive to quality of matches, outliers etc. It becomes worse
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when all selected matches lie on the same plane. [Check this
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discussion](http://answers.opencv.org/question/18125/epilines-not-correct/).
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@ -80,4 +80,3 @@ Additional Resources
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Independent Elementary Features", 11th European Conference on Computer Vision (ECCV), Heraklion,
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Crete. LNCS Springer, September 2010.
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2. LSH (Locality Sensitive Hasing) at wikipedia.
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@ -109,4 +109,3 @@ Exercises
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-# In our last example, we drew filled rectangle. You modify the code to draw an unfilled
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rectangle.
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@ -72,4 +72,3 @@ Exercises
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-# Create a Paint application with adjustable colors and brush radius using trackbars. For drawing,
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refer previous tutorial on mouse handling.
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@ -135,4 +135,3 @@ Exercises
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-# OpenCV samples contain digits.py which applies a slight improvement of the above method to get
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improved result. It also contains the reference. Check it and understand it.
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@ -87,4 +87,3 @@ Exercises
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Adobe Photoshop. On further search, I was able to find that same technique is already there in
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GIMP with different name, "Resynthesizer" (You need to install separate plugin). I am sure you
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will enjoy the technique.
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@ -84,4 +84,3 @@ Additional Resources
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3. [Numpy Examples List](http://wiki.scipy.org/Numpy_Example_List)
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4. [OpenCV Documentation](http://docs.opencv.org/)
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5. [OpenCV Forum](http://answers.opencv.org/questions/)
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@ -223,4 +223,3 @@ Exercises
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-# Check the code in samples/python2/lk_track.py. Try to understand the code.
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2. Check the code in samples/python2/opt_flow.py. Try to understand the code.
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@ -183,4 +183,3 @@ Exercises
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-# OpenCV comes with a Python sample on interactive demo of camshift. Use it, hack it, understand
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it.
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@ -52,4 +52,3 @@ image.
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opencv/samples/cpp/calibration.cpp, function computeReprojectionErrors).
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Question: how to calculate the distance from the camera origin to any of the corners?
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@ -241,4 +241,3 @@ Result
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Compiling and running your program should give you a result like this:
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@ -50,5 +50,3 @@ known planar objects in scenes.
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Mat points1Projected; perspectiveTransform(Mat(points1), points1Projected, H);
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- Use drawMatches for drawing inliers.
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@ -137,5 +137,3 @@ Result
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-# And here is the result for the detected object (highlighted in green)
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@ -127,4 +127,3 @@ Result
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Here is the result:
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@ -33,4 +33,3 @@ Result
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@ -112,4 +112,3 @@ Result
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------
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@ -206,4 +206,3 @@ The original image:
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The detected corners are surrounded by a small black circle
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@ -74,4 +74,3 @@ As always, we would be happy to hear your comments and receive your contribution
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- @subpage tutorial_table_of_content_viz
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These tutorials show how to use Viz module effectively.
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@ -1,8 +1,5 @@
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HighGUI {#tutorial_ug_highgui}
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=======
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Using Kinect and other OpenNI compatible depth sensors
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------------------------------------------------------
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Using Kinect and other OpenNI compatible depth sensors {#tutorial_ug_highgui}
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======================================================
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Depth sensors compatible with OpenNI (Kinect, XtionPRO, ...) are supported through VideoCapture
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class. Depth map, RGB image and some other formats of output can be retrieved by using familiar
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@ -1,8 +1,5 @@
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HighGUI {#tutorial_ug_intelperc}
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=======
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Using Creative Senz3D and other Intel Perceptual Computing SDK compatible depth sensors
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---------------------------------------------------------------------------------------
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Using Creative Senz3D and other Intel Perceptual Computing SDK compatible depth sensors {#tutorial_ug_intelperc}
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=======================================================================================
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Depth sensors compatible with Intel Perceptual Computing SDK are supported through VideoCapture
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class. Depth map, RGB image and some other formats of output can be retrieved by using familiar
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