Hello !

I am getting the following error while implementing the `yolo_filter_box`

:

TypeError Traceback (most recent call last)

in

3 boxes = tf.random.normal([19, 19, 5, 4], mean=1, stddev=4, seed = 1)

4 box_class_probs = tf.random.normal([19, 19, 5, 80], mean=1, stddev=4, seed = 1)

----> 5 scores, boxes, classes = yolo_filter_boxes(boxes, box_confidence, box_class_probs, threshold = 0.5)

6 print("scores[2] = " + str(scores[2].numpy()))

7 print("boxes[2] = " + str(boxes[2].numpy()))

in yolo_filter_boxes(boxes, box_confidence, box_class_probs, threshold)

56 ## (â 1 line)

57 print(type(box_class_scores))

â> 58 filtering_mask = box_class_scores >= threshold

59

60

/opt/conda/lib/python3.7/site-packages/tensorflow/python/ops/gen_math_ops.py in greater_equal(x, y, name)

4053 _result = pywrap_tfe.TFE_Py_FastPathExecute(

4054 _ctx._context_handle, tld.device_name, âGreaterEqualâ, name,

â 4055 tld.op_callbacks, x, y)

4056 return _result

4057 except _core._NotOkStatusException as e:

TypeError: Cannot convert 0.5 to EagerTensor of dtype int64

What is wrong with the float number we are giving for the threshold?

Thanks