Calculate Bounding Box Overlaps in Tensorflow -


let's have 2 tensors of bounding box coordinates: n, dimension [n, 4], , k, dimension [k, 4]. each row of each tensor represents x1, y1, x2, , y2 of bounding box.

is there efficient method in tensorflow produce [n, k] matrix m m[i, j] = overlap(n[i, :], k[j, :])? ideally, overlap intersection-over-union, if it's simpler use method work.

the source code of official object detection model has function calculating iou, see function intersection , iou reference


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