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NistDB.cc

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00001 // -*- C++ -*- 00002 00003 // PLearn (A C++ Machine Learning Library) 00004 // Copyright (C) 1998 Pascal Vincent 00005 // Copyright (C) 1999,2000 Pascal Vincent, Yoshua Bengio and University of Montreal 00006 // 00007 00008 // Redistribution and use in source and binary forms, with or without 00009 // modification, are permitted provided that the following conditions are met: 00010 // 00011 // 1. Redistributions of source code must retain the above copyright 00012 // notice, this list of conditions and the following disclaimer. 00013 // 00014 // 2. Redistributions in binary form must reproduce the above copyright 00015 // notice, this list of conditions and the following disclaimer in the 00016 // documentation and/or other materials provided with the distribution. 00017 // 00018 // 3. The name of the authors may not be used to endorse or promote 00019 // products derived from this software without specific prior written 00020 // permission. 00021 // 00022 // THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR 00023 // IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES 00024 // OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN 00025 // NO EVENT SHALL THE AUTHORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, 00026 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED 00027 // TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 00028 // PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 00029 // LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 00030 // NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 00031 // SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 00032 // 00033 // This file is part of the PLearn library. For more information on the PLearn 00034 // library, go to the PLearn Web site at www.plearn.org 00035 00036 00037 00038 /* ******************************************************* 00039 * $Id: NistDB.cc,v 1.3 2004/02/26 06:39:03 nova77 Exp $ 00040 * AUTHORS: Pascal Vincent 00041 * This file is part of the PLearn library. 00042 ******************************************************* */ 00043 00044 #include "NistDB.h" 00045 00046 namespace PLearn { 00047 using namespace std; 00048 00049 00050 #define DO_RESCALE 00051 00052 NistDB::NistDB(bool train) 00053 :VMatrix(60000, 28*28+1) 00054 { 00055 if(train) 00056 { 00057 imagef.open("/u/lisa/Database/MNIST/train-images-idx3-ubyte"); 00058 labelf.open("/u/lisa/Database/MNIST/train-labels-idx1-ubyte"); 00059 length_ = 60000; 00060 } 00061 else 00062 { 00063 // imagef.open("/u/lisa/Database/MNIST/test-images.idx3-ubyte"); 00064 // labelf.open("/u/lisa/Database/MNIST/test-labels.idx1-ubyte"); 00065 // length_ = 60000; 00066 imagef.open("/u/lisa/Database/MNIST/t10k-images-idx3-ubyte"); 00067 labelf.open("/u/lisa/Database/MNIST/t10k-labels-idx1-ubyte"); 00068 length_ = 10000; 00069 } 00070 if(!imagef) 00071 PLERROR("In NistDB constructor could not open imagefile for reading"); 00072 if(!labelf) 00073 PLERROR("In NistDB constructor could not open labelfile for reading"); 00074 } 00075 00076 real NistDB::get(int i, int j) const 00077 { 00078 #ifdef BOUNDCHECK 00079 if(i<0 || i>=length() || j<0 || j>=width()) 00080 PLERROR("In NistDB::get OUT OF BOUNDS"); 00081 #endif 00082 if(j==width()-1) // then read from labelf 00083 { 00084 labelf.seekg(8+i); 00085 return real(labelf.get()); 00086 } 00087 else // read from imagef 00088 { 00089 imagef.seekg(16+i*(28*28)+j); 00090 #ifdef DO_RESCALE 00091 return real(imagef.get())/255.0; 00092 #else 00093 return real(imagef.get()); 00094 #endif 00095 } 00096 } 00097 00098 void NistDB::getSubRow(int i, int j, Vec v) const 00099 { 00100 #ifdef BOUNDCHECK 00101 if(i<0 || i>=length() || j<0 || j+v.length()>width()) 00102 PLERROR("In NistDB::getSubRow OUT OF BOUNDS"); 00103 #endif 00104 00105 int npixelstoread = v.length(); 00106 if(j+v.length()==width()) 00107 { 00108 labelf.seekg(8+i); 00109 v[v.length()-1] = real(labelf.get()); 00110 npixelstoread--; 00111 } 00112 00113 if(j<width()-1) 00114 { 00115 imagef.seekg(16+i*(28*28)+j); 00116 #if __GNUC__ < 3 && !defined(WIN32) 00117 imagef.read(buf, npixelstoread); 00118 #else 00119 imagef.read(reinterpret_cast<char*>(buf), npixelstoread); 00120 #endif 00121 for(int k=0; k<npixelstoread; k++) 00122 { 00123 #ifdef DO_RESCALE 00124 v[k] = real(buf[k])/255.0; 00125 #else 00126 v[k] = real(buf[k]); 00127 #endif 00128 } 00129 } 00130 } 00131 00132 00133 00134 00135 00136 00137 00138 00139 00140 } // end of namespace PLearn

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