학습된 모델 불러와서 확인하는 코드

[11기_정주희]

# 0. 사용할 패키지 불러오기

from keras.utils import np_utils

from keras.datasets import mnist

from keras.models import Sequential

from keras.layers import Dense, Activation

import numpy as np

from numpy import argmax

import loader3

# 1. 실무에 사용할 데이터 준비하기

test_image = 'c:/data/leafs/images/test_resize/'

test_label = 'c:/data/leafs/images/test_label.csv'

x_test = loader3.image_load(test_image)

y_test = loader3.label_load(test_label)      

print ( loader3.image_load(test_image).shape )

print ( loader3.label_load(test_label).shape )

case = 10

x_test = x_test / 255.0

xhat_idx = np.random.choice(x_test.shape[0], case)

print(xhat_idx)

xhat = x_test[xhat_idx]

# 2. 모델 불러오기

from keras.models import load_model

model = load_model("c:/data/leafs/leaf.h5")

# 3. 모델 사용하기

yhat = model.predict_classes(xhat)

for i in range(case):

    print('True : ' + str(argmax(y_test[xhat_idx[i]])) + ', Predict : ' + str(yhat[i]))

##################################################################

#전체 데이터 넣고 정확도 확인하는 코드

# 0. 사용할 패키지 불러오기

from keras.utils import np_utils

from keras.datasets import mnist

from keras.models import Sequential

from keras.layers import Dense, Activation

import numpy as np

from numpy import argmax

import loader3

from sklearn.metrics import accuracy_score

# 1. 실무에 사용할 데이터 준비하기

test_image = 'c:/data/leafs/images/test_resize/'

test_label = 'c:/data/leafs/images/test_label.csv'

x_test = loader3.image_load(test_image)

y_test = loader3.label_load(test_label)      

print ( loader3.image_load(test_image).shape )

print ( loader3.label_load(test_label).shape )

x_test = x_test / 255.0

xhat_idx = np.random.choice(x_test.shape[0], x_test.shape[0])

xhat = x_test[xhat_idx]

# 2. 모델 불러오기

from keras.models import load_model

model = load_model("c:/data/leafs/leaf.h5")

# 3. 모델 사용하기

yhat = model.predict_classes(xhat)

y_pred = []

for i in range(x_test.shape[0]):

    y_pred.append(argmax(y_test[xhat_idx[i]]))

accuracy_score(y_pred, yhat)

# 일부로 섞었는데.... 원치 않으면 코드 변경하세요...

[11기_정주희]

https://goodtogreate.tistory.com/entry/Saving-and-Restoring

[11기_정주희]

https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/models/load_model