A 4-D float Tensor of shape
[num_images, height, width, num_achors] containing scores of
the boxes for given anchors, can be unsorted.
bbox_deltas
A 4-D float Tensor of shape
[num_images, height, width, 4 x num_anchors] encoding boxes
with respect to each anchor. Coordinates are given
in the form [dy, dx, dh, dw].
image_info
A 2-D float Tensor of shape [num_images, 5]
containing image information Height, Width, Scale.
anchors
A 2-D float Tensor of shape [num_anchors, 4]
describing the anchor boxes.
Boxes are formatted in the form [y1, x1, y2, x2].
nms_threshold
A scalar float Tensor for non-maximal-suppression
threshold. Defaults to 0.7.
pre_nms_topn
A scalar int Tensor for the number of
top scoring boxes to be used as input. Defaults to 6000.
min_size
A scalar float Tensor. Any box that has a smaller size
than min_size will be discarded. Defaults to 16.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]