Hi, in yolo_filter_boxes, I get the error below and I am struggling to solve it. I believe it may be related to the type of box_class_scores (I am using tf.math.reduce_max, as per the instructions) but I do not know what I am supposed to do. Thank you in advance Matteo TypeError …

Hello @vaccam1 You are almost there, I was also stuck with this for a long time :slight_smile: please check you filtering mask, it is much easier to implement than you think, there is no additional functions needed :wink: P.S: please remove your code once you figure this out hth

I have tried using filtering_mask = box_class_scores >= threshold but still get the error message below. I have tried a myriad of things. I am really stuck and I do not understand how it is possible. Perhaps a mentor could help me out? TypeError Traceback (most rece…

Hi, I have made some progress modifying my filtering_mask into: filtering_mask = None Now at least I get an output, but with the wrong shapes, for example: scores.shape = (361, 5, 80) boxes.shape = (361, 5, 4) classes.shape = (361, 5) I strongly believe the issue is still with my filtering ma…

I got the same problem too. But I solve it now. It seems like your box_class_scores makes a wrong shape, you should use box_score instead of box_classes. And also your scores will show a wrong value compare to the expected output. Check the document closely to make sure you fully understand what…

scores = tf.boolean_mask(box_scores, filtering_mask) I believe the error resides in this line of code. We need to use box_class_scores here instead of box_scores. Try replacing it with, scores = tf.boolean_mask(box_class_scores, filtering_mask)

Just remember the tf.math.reducemax function is to get the maximum values, tf.math.argmax to get the position of the max value [Screenshot 2021-05-26 211853]

You were all correct. I had made a mess and did not realize it at first because I forgot to apply tf.cast in my filtering mask. I will now remove the code above. Thank you all!!!

You were right! It is much easier to implement than we think. Thanks for the help! I was stuck on this for an hour and I figured it out now!

@Aravind1999 I am very glad my comment was helpful ! Good luck for the rest !

Hello, I’m still stuck, and I have the same error you had “Cannot convert 0.5 to EagerTensor of dtype int64” But the thing is, if we apply the mast to the “box_class_scores” and knowing that “box_class_scores” countain intergers from 1 to 80. I really don’t get it. What would be logic for me it …

Car detection with YOLO - yolo_filter_boxes

Course Q&A Deep Learning Specialization Convolutional Neural Networks

paulinpaloalto February 26, 2022, 8:12pm 15

box_class_scores should not contain integers. It should contain floats. The classes are integers, though. I thought we already covered this on the other thread where you asked about this function.

Topic		Replies	Views
C4 W3 YOLO Exercise - TypeError: Cannot convert 0.5 to EagerTensor Convolutional Neural Networks coursera-platform	9	916	May 6, 2022
C4_W3 - yolo_filter_boxes Convolutional Neural Networks coursera-platform	10	1308	May 24, 2021
W3_A1 YOLO boxes = tf.boolean_mask(boxes, filtering_mask) Convolutional Neural Networks coursera-platform	11	983	July 27, 2024
Course 4 Week3 Exercise 1 yolo filter boxes Convolutional Neural Networks coursera-platform	5	794	July 22, 2021
Exercise 1 - yolo_filter_boxes Assignement 1 W3 Convolutional Neural Networks coursera-platform	6	702	February 26, 2022

Car detection with YOLO - yolo_filter_boxes

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