tf_object_detection_cm
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svpino
RuntimeWarning: invalid value encountered in double_scalars
Confusion Matrix: [[0. 0. 0. 0. 0.] [0. 0. 0. 0. 0.] [0. 0. 0. 0. 0.] [0. 0. 0. 0. 0.] [0. 0. 0. 0. 0.]]
confusion_matrix.py:115: RuntimeWarning: invalid value encountered in double_scalars precision = (confusion_matrix[id, id] / total_predicted) confusion_matrix.py:116: RuntimeWarning: invalid value encountered in double_scalars recall = (confusion_matrix[id, id] / total_target) category [email protected] [email protected] 0 Her2 NaN NaN 1 LuminalA NaN NaN 2 LuminalB NaN NaN 3 Triple NaN NaN
@svpino
This is a division by Zero error. on line 121
precision = float(confusion_matrix[id, id] / total_predicted)
If you fix the division by zero, this should solve the problem
if total_predicted == 0: precision = 0.0 else: precision = float(confusion_matrix[id, id] / total_predicted)
Feel free to send a Pull request. I'll review and merge it.
Thanks!
svpino.
On Tue, Feb 18, 2020 at 4:43 PM MuhammadAliShahzad [email protected] wrote:
@svpino https://github.com/svpino This is a division by Zero error. on line 121 precision = float(confusion_matrix[id, id] / total_predicted) If you fix the division by zero, this should solve the problem if total_predicted == 0: precision = 0.0 else: precision = float(confusion_matrix[id, id] / total_predicted)
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Hi @svpino if i have ground truth and prediction value both in txt file then how can i used your repo? can you please explained me. Help is deep appreciate
