Deep Face Recognition with Caffe Implementation. This branch is developed for deep face recognition, the related paper is as follows. A Discriminative Feature Learning Approach for Deep Face RecognitionC Yandong Wen, Kaipeng Zhang, Zhifeng Li., Yu Qiao European Conference on Computer Vision. 動機 Ubuntu 16.04にて、CaffeとMATLABをインストールする。 Caffeはインターフェイスとして、PythonやMATLABを用意している。 しかし、CaffeとMATLABのインストール手順についてはドキュ.
protofile
— File name
character vector | string scalar
File name of the
.prototxt
file containing the network architecture, specified as a character vector or a string scalar. protofile
must be in the current folder, in a folder on the MATLAB® path, or you must include a full or relative path to the file. If the .prototxt
file does not specify the size of the input data, you must specify the size using the 'InputSize'
name-value pair argument.Example:
'digitsnet.prototxt'
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— File name
character vector | string scalar
File name of the
.caffemodel
file containing the network weights, specified as a character vector or a string scalar. datafile
must be in the current folder, in a folder on the MATLAB path, or you must include a full or relative path to the file. To import network layers without weights, use importCaffeLayers
.Voxal free voice changer for mac. Example:
'digits_iter_10000.caffemodel'
Pdf raster to vector converter.Name-Value Pair Arguments
Specify optional comma-separated pairs of
Example: Name,Value
arguments. Name
is the argument name and Value
is the corresponding value. Name
must appear inside quotes. You can specify several name and value pair arguments in any order as Name1,Value1,..,NameN,ValueN
.importCaffeNetwork(protofile,datafile,'AverageImage',I)
imports a pretrained network using the average image I
for zero-center normalization.Caffe Matlab Software
Size of input data, specified as a row vector. Specify a vector of two or three integer values
[h,w]
, or [h,w,c]
corresponding to the height, width, and the number of channels of the input data. If the .prototxt
file does not specify the size of the input data, then you must specify the input size.Example:
[28 28 1]
Average image for zero-center normalization, specified as amatrix. If you specify an image, then you must specify an image ofthe same size as the input data. If you do not specify an image, thesoftware uses the data specified in the
.prototxt
file,if present. Otherwise, the function sets the Normalization
propertyof the image input layer of the network to 'none'
.'Classes'
— Classes of the output layer
'auto'
(default) | categorical vector | string array | cell array of character vectors
Classes of the output layer, specified as a categorical vector, string array, cell array of character vectors, or
'auto'
. If you specify a string array or cell array of character vectors str
, then the software sets the classes of the output layer to categorical(str,str)
. If Classes
is 'auto'
, then the function sets the classes to categorical(1:N)
, where N
is the number of classes.Windows Caffe
Data Types:
char
| categorical
| string
| cell