tfm.vision.box_ops.filter_boxes

Filters and remove boxes that are too small or fall outside the image.

tfm.vision.box_ops.filter_boxes(
    boxes, scores, image_shape, min_size_threshold
)

Args
`boxes`	a tensor whose last dimension is 4 representing the coordinates of boxes in ymin, xmin, ymax, xmax order.
`scores`	a tensor whose shape is the same as tf.shape(boxes)[:-1] representing the original scores of the boxes.
`image_shape`	a tensor whose shape is the same as, or `broadcastable` to `boxes` except the last dimension, which is 2, representing [height, width] of the scaled image.
`min_size_threshold`	a float representing the minimal box size in each side (w.r.t. the scaled image). Boxes whose sides are smaller than it will be filtered out.

Returns
`filtered_boxes`	a tensor whose shape is the same as `boxes` but with the position of the filtered boxes are filled with 0.
`filtered_scores`	a tensor whose shape is the same as 'scores' but with the positinon of the filtered boxes filled with 0.

Args