#?This?should?be?completely?refactored?shares?a?lot?of?code?with?train.py

import?sys
from?collections?import?defaultdict
import?numpy?as?np

#?It‘s?very?important?to?put?this?import?before?keras
#?as?explained?here:?Loading?tensorflow?before?scipy.misc?seems?to?cause?imread?to?fail?#1541
#?https://github.com/tensorflow/tensorflow/issues/1541
import?scipy.misc

from?keras.utils?import?np_utils

import?dataset
import?net

np.random.seed（1337）

n?=?224
batch_size?=?128

data_directory?=?sys.argv[1:]

X?y?tags?=?dataset.dataset（data_directory?n）
nb_classes?=?len（tags）

sample_count?=?len（y）
train_size?=?sample_count?*?4?//?5
X_train?=?X[:train_size]
y_train?=?y[:train_size]
Y_train?=?np_utils.to_categorical（y_train?nb_classes）
X_test??=?X[train_size:]
y_test??=?y[train_size:]
Y_test?=?np_utils.to_categorical（y_test?nb_classes）


def?evaluate（model?vis_filename=None）:
????Y_pred?=?model.predict（X_test?batch_size=batch_size）
????y_pred?=?np.argmax（Y_pred?axis=1）

????accuracy?=?float（np.sum（y_test==y_pred））?/?len（y_test）
????print?“accuracy:“?accuracy

????confusion?=?np.zeros（（nb_classes?nb_classes）?dtype=np.int32）
????for?（predicted_index?actual_index?image）?in?zip（y_pred?y_test?X_test）:
????????confusion[predicted_index?actual_index]?+=?1
????print?“rows?are?predicted?classes?columns?are?actual?classes“
????for?predicted_index?predicted_tag?in?enumerate（tags）:
????????print?predicted_tag[:7]
????????for?actual_index?actual_tag?in?enumerate（tags）:
????????????print?“\t%d“?%?confusion[predicted_index?actual_index]
????????print
????if?vis_filename?is?not?None:
????????bucket_size?=?10
????????image_size?=?n?//?4?#?right?now?that‘s?56
????????vis_image_size?=?nb_classes?*?image_size?*?bucket_size
????????vis_image?=?255?*?np.ones（（vis_image_size?vis_image_size?3）?dtype=‘uint8‘）
????????example_counts?=?defaultdict（int）
????????for?（predicted_tag?actual_tag?normalized_image）?in?zip（y_pred?y_test?X_test）:
????????????example_count?=?example_counts[（predicted_tag?actual_tag）]
????????????if?example_count?>=?bucket_size**2:
????????????????continue
????????????image?=?dataset.reverse_preprocess_input（normalized_image）
????????????image?=?image.transpose（（1?2?0））
????????????image?=?scipy.misc.imresize（image?（image_size?image_size））.astype（np.uint8）
????????????tilepos_x?=?bucket_size?*?predicted_tag
????????????tilepos_y?=?bucket_size?*?actual_tag
????????????tilepos_x?+=?example_count?%?bucket_size
????????????tilepos_y?+=?example_count?//?bucket_size
????????????pos_x?pos_y?=?tilepos_x?*?image_size?tilepos_y?*?image_size
????????????vis_image[pos_y:pos_y+image_size?pos_x:pos_x+image_size?:]?=?image
????????????example_counts[（predicted_tag?actual_tag）]?+=?1
????????vis_image[::image_size?*?bucket_size?:]?=?0
????????vis_image[:?::image_size?*?bucket_size]?=?0
????????scipy.misc.imsave（vis_filename?vis_image）


model?tags_from_model?=?net.load（“model“）
assert?tags?==?tags_from_model
net.compile（model）

evalua

?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2016-09-13?21:12??keras-finetuning-master\
?????文件????????3855??2016-09-13?21:12??keras-finetuning-master\README.md
?????文件????????3028??2016-09-13?21:12??keras-finetuning-master\classify.py
?????文件?????????793??2016-09-13?21:12??keras-finetuning-master\collect-apple-photos.sh
?????文件????????1886??2016-09-13?21:12??keras-finetuning-master\collect_apple_photos.py
?????文件????????2202??2016-09-13?21:12??keras-finetuning-master\dataset.py
?????文件??????930127??2016-09-13?21:12??keras-finetuning-master\haarcascade_frontalface_default.xml
?????文件????????1852??2016-09-13?21:12??keras-finetuning-master\net.py
?????文件?????????911??2016-09-13?21:12??keras-finetuning-master\osx-install.sh
?????文件????????6073??2016-09-13?21:12??keras-finetuning-master\train.py
?????文件????????2301??2016-09-13?21:12??keras-finetuning-master\webcam.py