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{"class_name": "Model", "config": {"name": "inception_resnet_v1", "layers": [{"name": "input_1", "class_name": "InputLayer", "config": {"batch_input_shape": [null, 160, 160, 3], "dtype": "float32", "sparse": false, "name": "input_1"}, "inbound_nodes": []}, {"name": "Conv2d_1a_3x3", "class_name": "Conv2D", "config": {"name": "Conv2d_1a_3x3", "trainable": true, "filters": 32, "kernel_size": [3, 3], "strides": [2, 2], "padding": "valid", "data_format": "channels_last", "dilation_rate": [1, 1], "activation": "linear", "use_bias": false, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "inbound_nodes": [[["input_1", 0, 0, {}]]]}, {"name": "Conv2d_1a_3x3_BatchNorm", "class_name": "BatchNormalization", "config": {"name": "Conv2d_1a

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Registering org.bytedeco.javacpp.opencv_objdetect$CascadeClassifier[address=0x26415b20,position=0,limit=1,capacity=1,deallocator=org.bytedeco.javacpp.Pointer$NativeDeallocator[ownerAddress=0x26415b20,deallocatorAddress=0x7ff9f7aa2160]]
Deallocating org.bytedeco.javacpp.opencv_objdetect$CascadeClassifier[address=0x26415b20,position=0,limit=1,capacity=1,deallocator=org.bytedeco.javacpp.Pointer$NativeDeallocator[ownerAddress=0x26415b20,deallocatorAddress=0x7ff9f7aa2160]]
Loading class org.bytedeco.javacpp.opencv_core
Loading library opencv_cudev340
Failed to load for opencv_cudev340: java.lang.UnsatisfiedLinkError: no opencv_cudev340 in java.library.path
Registering org.bytedeco.javacpp.opencv_core$Mat[width=168,height=168,depth=8,channels=3]
Deallocating org.bytedeco.javacpp.opencv_core$RectVector[address=0x2e92130,position=0,limit=1,capacity=1,deallocator=org.bytedeco.javacpp.Pointer$NativeDeallocator[ownerAddress=0x2e92130,deallocatorAddress=0x7ff9cae77140]]
Deallocating org.bytedeco.javacpp.opencv_core$Mat[w

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#
# A fatal error has been detected by the Java Runtime Environment:
#
#  EXCEPTION_ACCESS_VIOLATION (0xc0000005) at pc=0x00007ff995603a5f, pid=4608, tid=0x00000000000036e4
#
# JRE version: Java(TM) SE Runtime Environment (8.0_152-b16) (build 1.8.0_152-b16)
# Java VM: Java HotSpot(TM) 64-Bit Server VM (25.152-b16 mixed mode windows-amd64 compressed oops)
# Problematic frame:
# C  [opencv_imgproc340.dll+0x173a5f]
#

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# coding: utf-8

# In[1]:


import numpy as np
import os
import matplotlib.pyplot as plt
import cv2

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# coding: utf-8

# In[18]:


import numpy as np
from keras import layers
from keras.layers import Input, Dense, Activation, ZeroPadding2D, BatchNormalization, Flatten, Conv2D
from keras.layers import AveragePooling2D, MaxPooling2D, Dropout, GlobalMaxPooling2D, GlobalAveragePooling2D