Week 3,Prog Assignment 1;exercise 1

Course Q&A Deep Learning Specialization Convolutional Neural Networks
1

Getting this error:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-15-2cab1199ef30> in <module>
      4 boxes = tf.random.normal([19, 19, 5, 4], mean=1, stddev=4, seed = 1)
      5 box_class_probs = tf.random.normal([19, 19, 5, 80], mean=1, stddev=4, seed = 1)
----> 6 scores, boxes, classes = yolo_filter_boxes(boxes, box_confidence, box_class_probs, threshold = 0.5)
      7 print("scores[2] = " + str(scores[2].numpy()))
      8 print("boxes[2] = " + str(boxes[2].numpy()))

<ipython-input-14-36b141206a96> in yolo_filter_boxes(boxes, box_confidence, box_class_probs, threshold)
     36     ## (≈ 1 line)
     37 
---> 38     filtering_mask = (box_class_scores >= threshold)
     39 
     40 

/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, "GreaterEqual", name,
-> 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

Tried debugging no success

2

Also tried using tf.math.greater_equal no success either,getting same error

3

Is box_class_scores of shape (19, 19, 5) ?

4

Your calculation of box_classes is correct. box_class_scores should hold the maximum score for the selected class. For instance, if you picked class 1 to have the highest score, in box_classes[0, 0], then the corresponding entry for box_class_scores should be the score for that class.