confusion_matrix.py:116: RuntimeWarning: invalid value encountered in double_scalars recall = float(confusion_matrix[id, id] / total_target)

[JerrySor]

Instructions for updating: Use eager execution and: tf.data.TFRecordDataset(path) Processed 100 images Processed 200 images Processed 300 images Processed 400 images Processed 400 images

Confusion Matrix: (array([[ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], [ 83., 56., 53., 48., 92., 103., 94., 80., 15., 38., 150.]]), '\n') confusion_matrix.py:116: RuntimeWarning: invalid value encountered in double_scalars recall = float(confusion_matrix[id, id] / totaltarget) category precision@0.6IOU recall_@0.6IOU 1 0.0 NaN 2 0.0 NaN 3 0.0 NaN 4 0.0 NaN 5 0.0 NaN 6 0.0 NaN 7 0.0 NaN 8 0.0 NaN 9 0.0 NaN 0 0.0 NaN

could you explain me what is the problem?

[sbetts2]

@JerrySor Hi, were you able to ever fix this problem? I am having the same issue...thanks!

[JerrySor]

I am not yet have solutions on it.

On Wed, Jun 23, 2021, 13:15 sbetts2 @.***> wrote:

@JerrySor https://github.com/JerrySor Hi, were you able to ever fix this problem? I am having the same issue...thanks!

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