change links from samples/python2 to samples/python

This commit is contained in:
Alexander Alekhin
2015-12-16 16:36:03 +03:00
parent 2ecb48921b
commit 323e24e3ef
15 changed files with 34 additions and 34 deletions

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@@ -16,8 +16,7 @@ intensity value of the pixel. But in two-dimensional histograms, you consider tw
it is used for finding color histograms where two features are Hue & Saturation values of every
pixel.
There is a [python sample in the official
samples](https://github.com/Itseez/opencv/blob/master/samples/python2/color_histogram.py) already
There is a python sample (samples/python/color_histogram.py) already
for finding color histograms. We will try to understand how to create such a color histogram, and it
will be useful in understanding further topics like Histogram Back-Projection.
@@ -106,10 +105,11 @@ You can verify it with any image editing tools like GIMP.
### Method 3 : OpenCV sample style !!
There is a [sample code for color-histogram in OpenCV-Python2
samples](https://github.com/Itseez/opencv/blob/master/samples/python2/color_histogram.py). If you
run the code, you can see the histogram shows the corresponding color also. Or simply it outputs a
color coded histogram. Its result is very good (although you need to add extra bunch of lines).
There is a sample code for color-histogram in OpenCV-Python2 samples
(samples/python/color_histogram.py).
If you run the code, you can see the histogram shows the corresponding color also.
Or simply it outputs a color coded histogram.
Its result is very good (although you need to add extra bunch of lines).
In that code, the author created a color map in HSV. Then converted it into BGR. The resulting
histogram image is multiplied with this color map. He also uses some preprocessing steps to remove

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@@ -155,8 +155,8 @@ should be due to the sky)
Well, here you adjust the values of histograms along with its bin values to look like x,y
coordinates so that you can draw it using cv2.line() or cv2.polyline() function to generate same
image as above. This is already available with OpenCV-Python2 official samples. [Check the
Code](https://github.com/Itseez/opencv/raw/master/samples/python2/hist.py)
image as above. This is already available with OpenCV-Python2 official samples. Check the
code at samples/python/hist.py.
Application of Mask
-------------------