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https://github.com/wassname/scikit-image.git
synced 2026-08-10 12:40:08 +08:00
Changed local_maxima to float32
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@@ -200,8 +200,8 @@ def blob_dog(image, min_sigma=1, max_sigma=50, sigma_ratio=1.6, threshold=2.0,
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footprint=np.ones((3, 3, 3)),
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threshold_rel=0.0,
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exclude_border=False)
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# Convert array to float32
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lm = local_maxima.astype('float32')
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# Convert array to float64
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lm = local_maxima.astype('float64')
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# Convert the last index to its corresponding scale value
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lm[:,2] = sigma_list[local_maxima[:,2]]
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local_maxima = lm
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@@ -302,8 +302,8 @@ def blob_log(image, min_sigma=1, max_sigma=50, num_sigma=10, threshold=.2,
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threshold_rel=0.0,
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exclude_border=False)
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# Convert array to float32
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lm = local_maxima.astype('float32')
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# Convert array to float64
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lm = local_maxima.astype('float64')
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# Convert the last index to its corresponding scale value
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lm[:,2] = sigma_list[local_maxima[:,2]]
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local_maxima = lm
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@@ -413,8 +413,8 @@ def blob_doh(image, min_sigma=1, max_sigma=30, num_sigma=10, threshold=0.01,
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threshold_rel=0.0,
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exclude_border=False)
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# Convert array to float32
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lm = local_maxima.astype('float32')
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# Convert array to float64
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lm = local_maxima.astype('float64')
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# Convert the last index to its corresponding scale value
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lm[:,2] = sigma_list[local_maxima[:,2]]
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local_maxima = lm
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