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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Does af.regions work on 3D image input?","articleBody":"From the documentation it appears as though the method is designed to work in 2D only:\r\n`def regions(image, conn = CONNECTIVITY.FOUR, out_type = Dtype.f32):\r\n    \"\"\"\r\n    Find the connected components in the image.\r\n\r\n    Parameters\r\n    ----------\r\n    image : af.Array\r\n          - A 2 D arrayfire array representing an image.\r\n\r\n    conn : optional: af.CONNECTIVITY. default: af.CONNECTIVITY.FOUR.\r\n          - Specifies the connectivity of the pixels.\r\n\r\n    out_type : optional: af.Dtype. default: af.Dtype.f32.\r\n          - Specifies the type for the output.\r\n\r\n    Returns\r\n    ---------\r\n\r\n    output : af.Array\r\n           - An array where each pixel is labeled with its component number.\r\n\r\n    \"\"\"\r\n    output = Array()\r\n    safe_call(backend.get().af_regions(c_pointer(output.arr), image.arr,\r\n                                       conn.value, out_type.value))\r\n    return output`","author":{"url":"https://github.com/solarflarefx","@type":"Person","name":"solarflarefx"},"datePublished":"2023-11-16T15:39:53.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":3},"url":"https://github.com/264/arrayfire-python/issues/264"}