tfm.vision.anchor.Anchor

Anchor class for anchor-based object detectors.

tfm.vision.anchor.Anchor(
    min_level, max_level, num_scales, aspect_ratios, anchor_size, image_size
)

Args
`min_level`	integer number of minimum level of the output feature pyramid.
`max_level`	integer number of maximum level of the output feature pyramid.
`num_scales`	integer number representing intermediate scales added on each level. For instances, num_scales=2 adds one additional intermediate anchor scales [2^0, 2^0.5] on each level.
`aspect_ratios`	list of float numbers representing the aspect ratio anchors added on each level. The number indicates the ratio of width to height. For instances, aspect_ratios=[1.0, 2.0, 0.5] adds three anchors on each scale level.
`anchor_size`	float number representing the scale of size of the base anchor to the feature stride 2^level.
`image_size`	a list of integer numbers or Tensors representing [height, width] of the input image size.The image_size should be divided by the largest feature stride 2^max_level.

Attributes
`anchors_per_location`
`multilevel_boxes`

Attributes

anchors_per_location

multilevel_boxes

unpack_labels(
    labels: tf.Tensor
) -> Dict[str, tf.Tensor]

Unpacks an array of labels into multi-scales labels.