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Update python samples
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@@ -94,13 +94,13 @@ thick = -1
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for i in range(NTRAINING_SAMPLES):
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px = trainData[i,0]
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py = trainData[i,1]
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cv.circle(I, (px, py), 3, (0, 255, 0), thick)
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cv.circle(I, (int(px), int(py)), 3, (0, 255, 0), thick)
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# Class 2
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for i in range(NTRAINING_SAMPLES, 2*NTRAINING_SAMPLES):
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px = trainData[i,0]
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py = trainData[i,1]
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cv.circle(I, (px, py), 3, (255, 0, 0), thick)
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cv.circle(I, (int(px), int(py)), 3, (255, 0, 0), thick)
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## [show_data]
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#------------------------- 6. Show support vectors --------------------------------------------
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@@ -109,7 +109,7 @@ thick = 2
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sv = svm.getUncompressedSupportVectors()
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for i in range(sv.shape[0]):
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cv.circle(I, (sv[i,0], sv[i,1]), 6, (128, 128, 128), thick)
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cv.circle(I, (int(sv[i,0]), int(sv[i,1])), 6, (128, 128, 128), thick)
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## [show_vectors]
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cv.imwrite('result.png', I) # save the Image
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