fix 4.x links
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@@ -36,7 +36,7 @@ gives us a feature vector containing 64 values. This is the feature vector we us
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Finally, as in the previous case, we start by splitting our big dataset into individual cells. For
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every digit, 250 cells are reserved for training data and remaining 250 data is reserved for
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testing. Full code is given below, you also can download it from [here](https://github.com/opencv/opencv/tree/master/samples/python/tutorial_code/ml/py_svm_opencv/hogsvm.py):
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testing. Full code is given below, you also can download it from [here](https://github.com/opencv/opencv/tree/4.x/samples/python/tutorial_code/ml/py_svm_opencv/hogsvm.py):
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@include samples/python/tutorial_code/ml/py_svm_opencv/hogsvm.py
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