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"""GIVT-specific preprocessing ops.""" |
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from big_vision.pp import registry |
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from big_vision.pp import utils |
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import tensorflow as tf |
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@registry.Registry.register("preprocess_ops.bin_nyu_depth") |
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@utils.InKeyOutKey(indefault="labels", outdefault="labels") |
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def get_bin_nyu_depth(min_depth=0.001, max_depth=10.0, num_bins=256): |
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"""Binning of NYU depth for UViM in preprocessing rather than model.""" |
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def _bin_depth(labels): |
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labels = (labels - min_depth) / (max_depth - min_depth) |
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labels *= num_bins |
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labels = tf.cast(tf.floor(labels), tf.int32) |
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labels = tf.minimum(labels, num_bins - 1) |
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labels = tf.maximum(labels, 0) |
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return labels |
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return _bin_depth |
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