问题描述
我想和 F. Chollet 的 notebook 做同样的事情,但在 C# 中。
但是,我找不到迭代我的 KerasIterator 对象的方法:
def extract_features(directory,sample_count):
features = np.zeros(shape=(sample_count,4,512))
labels = np.zeros(shape=(sample_count))
generator = datagen.flow_from_directory(
directory,target_size=(150,150),batch_size=20,class_mode='binary'
)
i = 0
for inputs_batch,labels_batch in generator:
features_batch = conv_base.predict(inputs_batch)
features[i * 20 : (i + 1) * 20] = features_batch
labels[i * 20 : (i + 1) * 20] = labels_batch
i += 1
if i * 20 >= sample_count:
break
return features,labels
我当前的 C# 函数如下。
详情:
private List<ndarray> ExtractFeatures(ImageDataGenerator datagen,String directory,int sample_count)
{
// create the return ndarrays
ndarray features = np.zeros(shape: (sample_count,512));
ndarray labels = np.zeros(shape: (sample_count,512));
KerasIterator generator = datagen.FlowFromDirectory(
directory,target_size: (150,150).ToTuple(),batch_size: 20,class_mode: "binary"
);
int i = 0;
/* how do I iterate on 'generator' here,in a similar way than in Python? */
// return the List element
return new List<ndarray> { features,labels };
}
解决方法
截至 2020 年 4 月 19 日,Keras.NET GitHub 页面上的 this 问题中记录的 .NET Wrapper 无法实现