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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
tf.data.TFRecordDataset(path)
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] / total_target) 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?
The text was updated successfully, but these errors were encountered:
@JerrySor Hi, were you able to ever fix this problem? I am having the same issue...thanks!
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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] / total_target)
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?
The text was updated successfully, but these errors were encountered: