Time taken to run __main__:main: 13:37:18.554822.
2021-03-24 07:49:19,493 [INFO] iva.detectnet_v2.evaluation.evaluation: step 0 / 44, 0.00s/step
2021-03-24 07:49:27,234 [INFO] iva.detectnet_v2.evaluation.evaluation: step 10 / 44, 0.77s/step
2021-03-24 07:49:35,180 [INFO] iva.detectnet_v2.evaluation.evaluation: step 20 / 44, 0.79s/step
2021-03-24 07:49:43,224 [INFO] iva.detectnet_v2.evaluation.evaluation: step 30 / 44, 0.80s/step
2021-03-24 07:49:50,767 [INFO] iva.detectnet_v2.evaluation.evaluation: step 40 / 44, 0.75s/step
Matching predictions to ground truth, class 1/7.: 100% 1239/1239 [00:00<00:00, 9413.49it/s]
Matching predictions to ground truth, class 2/7.: 100% 14713/14713 [00:01<00:00, 8959.98it/s]
Matching predictions to ground truth, class 3/7.: 100% 1215/1215 [00:00<00:00, 9273.56it/s]
Matching predictions to ground truth, class 4/7.: 100% 735/735 [00:00<00:00, 9826.55it/s]
Matching predictions to ground truth, class 5/7.: 100% 642/642 [00:00<00:00, 9475.85it/s]
Matching predictions to ground truth, class 6/7.: 100% 3519/3519 [00:00<00:00, 9264.48it/s]
Matching predictions to ground truth, class 7/7.: 100% 19069/19069 [00:02<00:00, 9149.60it/s]
Epoch 80/80
=========================

Validation cost: 0.000039
Mean average_precision (in %): 94.3733

class name             average precision (in %)
-------------------  --------------------------
bicycle                                 88.1944
bus                                     98.6516
heavyvehicle                            99.3773
intermediatevehicle                     95.744
lightvehicle                            91.261
motorcycle                              92.179
person                                  95.2057