Inference_Pedestrian

Epoch 1/20
30/30 [==============================] - ETA: 0s - loss: 0.6868 - accuracy: 0.5508
Epoch 00001: accuracy improved from -inf to 0.55085, saving model to modelPedestrianDetection.h5
30/30 [==============================] - 1s 42ms/step - loss: 0.6868 - accuracy: 0.5508 - val_loss: 0.6735 - val_accuracy: 0.5787
Epoch 2/20
28/30 [===========================>..] - ETA: 0s - loss: 0.6447 - accuracy: 0.6451
Epoch 00002: accuracy improved from 0.55085 to 0.64407, saving model to modelPedestrianDetection.h5
30/30 [==============================] - 1s 32ms/step - loss: 0.6434 - accuracy: 0.6441 - val_loss: 0.6594 - val_accuracy: 0.6128
Epoch 3/20
28/30 [===========================>..] - ETA: 0s - loss: 0.5339 - accuracy: 0.7489
Epoch 00003: accuracy improved from 0.64407 to 0.75212, saving model to modelPedestrianDetection.h5
30/30 [==============================] - 1s 31ms/step - loss: 0.5254 - accuracy: 0.7521 - val_loss: 0.6469 - val_accuracy: 0.6809
Epoch 4/20
28/30 [===========================>..] - ETA: 0s - loss: 0.3825 - accuracy: 0.8404
Epoch 00004: accuracy improved from 0.75212 to 0.83792, saving model to modelPedestrianDetection.h5
30/30 [==============================] - 1s 31ms/step - loss: 0.3881 - accuracy: 0.8379 - val_loss: 0.6962 - val_accuracy: 0.6979
Epoch 5/20
28/30 [===========================>..] - ETA: 0s - loss: 0.2748 - accuracy: 0.8929
Epoch 00005: accuracy improved from 0.83792 to 0.89195, saving model to modelPedestrianDetection.h5
30/30 [==============================] - 1s 31ms/step - loss: 0.2754 - accuracy: 0.8919 - val_loss: 0.8645 - val_accuracy: 0.6468
Epoch 6/20
28/30 [===========================>..] - ETA: 0s - loss: 0.1463 - accuracy: 0.9565
Epoch 00006: accuracy improved from 0.89195 to 0.95869, saving model to modelPedestrianDetection.h5
30/30 [==============================] - 1s 31ms/step - loss: 0.1428 - accuracy: 0.9587 - val_loss: 0.8756 - val_accuracy: 0.6553
Epoch 7/20
28/30 [===========================>..] - ETA: 0s - loss: 0.0600 - accuracy: 0.9799
Epoch 00007: accuracy improved from 0.95869 to 0.97987, saving model to modelPedestrianDetection.h5
30/30 [==============================] - 1s 31ms/step - loss: 0.0603 - accuracy: 0.9799 - val_loss: 0.9894 - val_accuracy: 0.7319
Epoch 8/20
28/30 [===========================>..] - ETA: 0s - loss: 0.0884 - accuracy: 0.9721
Epoch 00008: accuracy did not improve from 0.97987
30/30 [==============================] - 1s 19ms/step - loss: 0.0915 - accuracy: 0.9714 - val_loss: 2.3075 - val_accuracy: 0.5362
Epoch 9/20
28/30 [===========================>..] - ETA: 0s - loss: 0.1904 - accuracy: 0.9408
Epoch 00009: accuracy did not improve from 0.97987
30/30 [==============================] - 1s 19ms/step - loss: 0.1831 - accuracy: 0.9439 - val_loss: 0.9728 - val_accuracy: 0.7021
Epoch 10/20
28/30 [===========================>..] - ETA: 0s - loss: 0.0379 - accuracy: 0.9877
Epoch 00010: accuracy improved from 0.97987 to 0.98835, saving model to modelPedestrianDetection.h5
30/30 [==============================] - 1s 31ms/step - loss: 0.0370 - accuracy: 0.9883 - val_loss: 1.0468 - val_accuracy: 0.6979
Epoch 11/20
28/30 [===========================>..] - ETA: 0s - loss: 0.0117 - accuracy: 0.9967
Epoch 00011: accuracy improved from 0.98835 to 0.99682, saving model to modelPedestrianDetection.h5
30/30 [==============================] - 1s 31ms/step - loss: 0.0112 - accuracy: 0.9968 - val_loss: 1.4864 - val_accuracy: 0.6596
Epoch 12/20
28/30 [===========================>..] - ETA: 0s - loss: 0.0099 - accuracy: 0.9989
Epoch 00012: accuracy improved from 0.99682 to 0.99894, saving model to modelPedestrianDetection.h5
30/30 [==============================] - 1s 32ms/step - loss: 0.0094 - accuracy: 0.9989 - val_loss: 1.6293 - val_accuracy: 0.6723
Epoch 13/20
28/30 [===========================>..] - ETA: 0s - loss: 0.0082 - accuracy: 0.9978
Epoch 00013: accuracy did not improve from 0.99894
30/30 [==============================] - 1s 20ms/step - loss: 0.0079 - accuracy: 0.9979 - val_loss: 2.0455 - val_accuracy: 0.6851
Epoch 14/20
28/30 [===========================>..] - ETA: 0s - loss: 0.0267 - accuracy: 0.9944
Epoch 00014: accuracy did not improve from 0.99894
30/30 [==============================] - 1s 19ms/step - loss: 0.0255 - accuracy: 0.9947 - val_loss: 1.4737 - val_accuracy: 0.6511
Epoch 15/20
28/30 [===========================>..] - ETA: 0s - loss: 0.0069 - accuracy: 0.9989
Epoch 00015: accuracy did not improve from 0.99894

Epoch 00015: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.
30/30 [==============================] - 1s 19ms/step - loss: 0.0070 - accuracy: 0.9989 - val_loss: 1.7164 - val_accuracy: 0.6979
Epoch 16/20
28/30 [===========================>..] - ETA: 0s - loss: 0.0086 - accuracy: 0.9989
Epoch 00016: accuracy did not improve from 0.99894
30/30 [==============================] - 1s 20ms/step - loss: 0.0082 - accuracy: 0.9989 - val_loss: 1.6324 - val_accuracy: 0.7021
Epoch 17/20
28/30 [===========================>..] - ETA: 0s - loss: 0.0012 - accuracy: 1.0000
Epoch 00017: accuracy did not improve from 0.99894
30/30 [==============================] - 1s 19ms/step - loss: 0.0071 - accuracy: 0.9989 - val_loss: 1.6408 - val_accuracy: 0.7021
Epoch 18/20
28/30 [===========================>..] - ETA: 0s - loss: 0.0068 - accuracy: 0.9989
Epoch 00018: accuracy did not improve from 0.99894

Epoch 00018: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.
30/30 [==============================] - 1s 20ms/step - loss: 0.0066 - accuracy: 0.9989 - val_loss: 1.6397 - val_accuracy: 0.6936
Epoch 19/20
28/30 [===========================>..] - ETA: 0s - loss: 0.0066 - accuracy: 0.9989
Epoch 00019: accuracy did not improve from 0.99894
30/30 [==============================] - 1s 19ms/step - loss: 0.0063 - accuracy: 0.9989 - val_loss: 1.6396 - val_accuracy: 0.6936
Epoch 00019: early stopping