dersmon

import sys
import caffe
import cv2
import Image
import numpy as np
from scipy.misc import imresize

caffe_root = "/home/simon/Workspaces/caffe/"

#MODEL_FILE = caffe_root + 'models/placesCNN/places205CNN_deploy.prototxt'

dersmon

import sys
import caffe
import cv2
import Image
import numpy as np
from scipy.misc import imresize

caffe_root = "/home/simon/Workspaces/caffe/"

#MODEL_FILE = caffe_root + 'models/placesCNN/places205CNN_deploy.prototxt'

dersmon

name: "AlexNet"
input: "data"
input_shape {
  dim: 10
  dim: 3
  dim: 227
  dim: 227
}
layer {
  name: "conv1"

dersmon

import sys
import caffe
import cv2
import Image
import numpy as np
from scipy.misc import imresize

caffe_root = "/home/simon/caffe/"

#MODEL_FILE = caffe_root + 'models/placesCNN/places205CNN_deploy.prototxt'

dersmon

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>
  <groupId>net.dersmon</groupId>
  <artifactId>neural-network-training</artifactId>
  <version>0.0.1-SNAPSHOT</version>
  <name>neural-network-training</name>
  
   <url>http://maven.apache.org</url>
  <packaging>jar</packaging>
  

dersmon

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>
  <groupId>net.dersmon</groupId>
  <artifactId>dl4j-imagepipeline-tutorial</artifactId>
  <version>0.0.1-SNAPSHOT</version>
  <name>dl4j-imagepipeline-tutorial</name>
  
  <url>http://maven.apache.org</url>
  <packaging>jar</packaging>
  

dersmon

import org.canova.api.records.reader.RecordReader;
import org.canova.api.split.FileSplit;
import org.canova.image.recordreader.ImageRecordReader;
import org.deeplearning4j.datasets.canova.RecordReaderDataSetIterator;
import org.deeplearning4j.datasets.fetchers.LFWDataFetcher;
import org.deeplearning4j.datasets.iterator.DataSetIterator;
import org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator;
import org.deeplearning4j.eval.Evaluation;
import org.deeplearning4j.nn.api.OptimizationAlgorithm;
import org.deeplearning4j.nn.conf.MultiLayerConfiguration;

dersmon

PROTOC src/caffe/proto/caffe.proto
CXX .build_release/src/caffe/proto/caffe.pb.cc
CXX src/caffe/parallel.cpp
CXX src/caffe/solver.cpp
CXX src/caffe/layer.cpp
CXX src/caffe/util/signal_handler.cpp
CXX src/caffe/util/db_lmdb.cpp
CXX src/caffe/util/blocking_queue.cpp
CXX src/caffe/util/io.cpp
CXX src/caffe/util/math_functions.cpp

dersmon

// this
String labeledPath = System.getProperty("user.home") + "/Pictures/labeled_faces_in_the_wild";
 
List<String> labels = new ArrayList<>();
for (File f : new File(labeledPath).listFiles()) {
        labels.add(f.getName());
}
               
RecordReader recordReader = new ImageRecordReader(28, 28, true, labels);                       
recordReader.initialize(new FileSplit(new File(labeledPath)));