aboutsummaryrefslogtreecommitdiffstats
path: root/LibOVR/Src/Util/Util_MatFile.cpp
blob: f17e26994babac15a6a64733ca8a7b7f909d66c6 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
/************************************************************************************

Filename    :   Util_MatFile.cpp
Content     :   Matlab .MAT file access functions
Created     :   June 1, 2014
Authors     :   Neil Konzen

Copyright   :   Copyright 2014 Oculus VR, Inc. All Rights reserved.

Licensed under the Oculus VR Rift SDK License Version 3.2 (the "License");
you may not use the Oculus VR Rift SDK except in compliance with the License,
which is provided at the time of installation or download, or which
otherwise accompanies this software in either electronic or hard copy form.

You may obtain a copy of the License at

http://www.oculusvr.com/licenses/LICENSE-3.2

Unless required by applicable law or agreed to in writing, the Oculus VR SDK
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

*************************************************************************************/

#include "Util_MatFile.h"

#include "Kernel/OVR_Types.h"
#include "Kernel/OVR_Alg.h"
#include "Kernel/OVR_Std.h"

OVR_DISABLE_MSVC_WARNING(4996) //  'fopen': This function or variable may be unsafe. Consider using fopen_s inst


namespace OVR { namespace Util {

using namespace OVR::Alg;


// Data structures relating to MATLAB .MAT binary files
#define	FX_FORM_IEEE_LE		0000u
#define FX_FORM_IEEE_BE		1000u
#define FX_FORM_VAX_D_FLOAT 2000u
#define FX_FORM_VAX_G_FLOAT 3000u
#define FX_FORM_CRAY		4000u
#define FX_FORM(type)		((((type) / 1000u) % 10u) * 1000u)

#define FX_PREC_UINT8 		50u
#define FX_PREC_INTU		40u
#define FX_PREC_INTS		30u
#define FX_PREC_LONG		20u
#define FX_PREC_SINGLE		10u
#define FX_PREC_DOUBLE		00u
#define FX_PREC(type)		((((type) / 10u) % 10u) * 10u)

// Note that the elements of a text matrix are stored as floating-point numbers
// between 0 and 255 representing ASCII-encoded characters.
#define FX_MAT_NUMERIC	   0u
#define FX_MAT_TEXT		   1u
#define FX_MAT_SPARSE	   2u
#define FX_MAT(type)		((type) % 10u)

struct Fmatrix
{
	uint32_t type;	    //	Type - see #defines
	uint32_t mrows;     //	Row dimension - NOTE: Column dimension for C Arrays!
	uint32_t ncols;	    // 	Column dimension - NOTE: Row dimension for C Arrays!
	uint32_t imagf;	    //	1=complex, 0=real
	uint32_t namelen;	// 	length including zero terminator
};


uint32_t MatFile::GetMatlabType(ValueType type, size_t& valueSize)
{
    switch (type)
    {
    case ByteValue: valueSize = sizeof(uint8_t); return FX_PREC_UINT8;
    case UInt16Value: valueSize = sizeof(uint16_t); return FX_PREC_INTU;
    case Int16Value: valueSize = sizeof(int16_t); return FX_PREC_INTS;
    case UInt32Value: valueSize = sizeof(uint32_t); return FX_PREC_LONG;    // Not directly supported by matlab!
    case Int32Value: valueSize = sizeof(int32_t); return FX_PREC_LONG;
    case FloatValue: valueSize = sizeof(float); return FX_PREC_SINGLE;
    case DoubleValue: valueSize = sizeof(double); return FX_PREC_DOUBLE;
    case StringValue: valueSize = sizeof(char); return FX_MAT_TEXT; // special case for string arrays
    default:
        OVR_ASSERT(false);
        valueSize = 0;
        return 0;
    }
}

MatFile::ValueType MatFile::GetValueType(uint32_t matlabType, size_t& valueSize)
{
    switch (matlabType)
    {
    case FX_PREC_UINT8: valueSize = sizeof(uint8_t); return ByteValue;
    case FX_PREC_INTU: valueSize = sizeof(uint16_t); return UInt16Value;
    case FX_PREC_INTS: valueSize = sizeof(int16_t); return Int16Value;
    case FX_PREC_LONG: valueSize = sizeof(int32_t); return Int32Value;
    case FX_PREC_SINGLE: valueSize = sizeof(float); return FloatValue;
    case FX_PREC_DOUBLE: valueSize = sizeof(double); return DoubleValue;
    case FX_MAT_TEXT: valueSize = sizeof(char); return StringValue;
    default:
        OVR_ASSERT(false);
        valueSize = 0;
        return UnknownValue;
    }
}

MatFile::MatFile(void)
{
	m_f = NULL;
}

MatFile::~MatFile(void)
{
	if (m_f)
		fclose(m_f);
	m_f = NULL;
}

// Matlab arrays are stored column-major, while C/C++ arrays are stored row-major.
// This means that a C array appears to Matlab transposed, and vice versa.
// To deal with this we swap the row and column values stored in the Matlab matrix header.

bool MatFile::Open(const char* pszFile, bool write)
{
    OVR_ASSERT(!m_f);
    m_f = fopen(pszFile, write ? "wb" : "rb");
    return (m_f != nullptr);
}

void MatFile::Close()
{
	if (m_f)
	{
		fclose(m_f);
		m_f = NULL;
	}
}

int MatFile::ReadString(const char* name, char* text, size_t maxTextSize)
{
	int rows, cols;
	ValueType valueType;

	maxTextSize = Alg::Min(maxTextSize, INT_MAX/sizeof(double)/2);

	if (!GetMatrixInfo(name, valueType, rows, cols))
		return 0;

	if (valueType != StringValue)
		return 0;

	int count = rows * cols;	// character count, not including zero terminator

	double* doubles = new double[count];
	ReadMatrixValues(doubles, StringValue, count, 1);

	if (maxTextSize > 0 && count > 0)
	{
		count = (int)Alg::Min(count, (int)(maxTextSize-1));
		for (int i = 0; i < count; i++)
			text[i] = (char)doubles[i];
		text[count] = 0;	// Always zero terminate
	}

	delete[] doubles;

	return count;
}

bool MatFile::WriteString(const char* name, const char* string)
{
	int length = (int)Alg::Min(strlen(string), INT_MAX/sizeof(double)/2);

	double* doubles = new double[length];
	for (int i = 0; i < length; i++)
		doubles[i] = (double)((unsigned char)string[i]);

	bool ok = WriteMatrix(name, doubles, StringValue, (int)length, 1);

	delete[] doubles;

	return ok;
}

void* MatFile::ReadMatrix(const char* name, ValueType valueType, int& rows, int& cols)
{
	ValueType fileValueType;
	if (!GetMatrixInfo(name, fileValueType, rows, cols))
		return NULL;

	int valueCount = rows * cols;

	void* values = NULL;
	switch (fileValueType)
	{
	case StringValue:	// Text matrices are stored as doubles
	case DoubleValue:
		values = new double[valueCount];
		break;
	case FloatValue:
		values = new float[valueCount];
		break;
	case ByteValue:
		values = new uint8_t[valueCount];
		break;
	case Int16Value:
		values = new int16_t[valueCount];
		break;
	case UInt16Value:
		values = new uint16_t[valueCount];
		break;
	case Int32Value:
    /*case UInt32Value: -- not directly supported by matlab -v4 files */
        values = new int32_t[valueCount];
		break;
	default:
        OVR_ASSERT(false);
		return NULL;
	}

	bool ok = ReadMatrixValues(values, fileValueType, rows, cols);

	if (ok)
		values = ConvertVector(values, valueCount, fileValueType, valueType);

	if (!ok)
	{
		delete[] (char*)values;
		values = NULL;
	}

    OVR_ASSERT(values);
	return values;
}

void* MatFile::ConvertVector(void* fromValues, int valueCount, ValueType fromType, ValueType toType)
{
	// Special case: Always convert characters stored as doubles to a char array
	if (fromType == StringValue)
		fromType = DoubleValue;

	if (fromType == toType)
		return fromValues;

    // UInt32 values are stored as Int32 values by Matlab
    if (fromType == Int32Value && toType == UInt32Value)
        return fromValues;

    // When a .mat file is saved by Matlab, many datatypes are converted to double.
	// We support conversion of doubles to some other types: float, long, byte, char
	// and strings and floats to doubles.
	// convert singles to doubles
	bool ok = true;
	if (fromType == DoubleValue)
	{
        const double* fromDoubles = (const double*)fromValues;
		if (toType == FloatValue)
		{
			float* newValues = new float[valueCount];
			for (int i = 0; i < valueCount; i++)
				newValues[i] = (float)fromDoubles[i];
			delete[] (char*)fromValues;
			fromValues = newValues;
		}
		else if (toType == Int32Value)
		{
			int32_t* newValues = new int32_t[valueCount];
			for (int i = 0; i < valueCount; i++)
				newValues[i] = (int32_t)fromDoubles[i];
			delete[] (char*)fromValues;
			fromValues = newValues;
		}
        else if (toType == UInt32Value)
        {
            uint32_t* newValues = new uint32_t[valueCount];
            for (int i = 0; i < valueCount; i++)
                newValues[i] = (uint32_t)fromDoubles[i];
            delete[] (char*)fromValues;
            fromValues = newValues;
        }
		else if (toType == Int16Value)
		{
			int16_t* newValues = new int16_t[valueCount];
			for (int i = 0; i < valueCount; i++)
				newValues[i] = (int16_t)fromDoubles[i];
			delete[] (char*)fromValues;
			fromValues = newValues;
		}
		else if (toType == UInt16Value)
		{
			uint16_t* newValues = new uint16_t[valueCount];
			for (int i = 0; i < valueCount; i++)
				newValues[i] = (uint16_t)fromDoubles[i];
			delete[] (char*)fromValues;
			fromValues = newValues;
		}
		else if (toType == ByteValue)
		{
			uint8_t* newValues = new uint8_t[valueCount];
			for (int i = 0; i < valueCount; i++)
				newValues[i] = (uint8_t)fromDoubles[i];
			delete[] (char*)fromValues;
			fromValues = newValues;
		}
		else if (toType == StringValue)
		{
			char* newValues = new char[valueCount];
			for (int i = 0; i < valueCount; i++)
				newValues[i] = (char)fromDoubles[i];
			delete[] (char*)fromValues;
			fromValues = newValues;
		}
		else
		{
			// unsupported type conversion
			ok = false;
		}
	}
	else
	{
		ok = false;	// only conversions from doubles supported
	}

	if (!ok)
	{
        OVR_ASSERT(false);
		delete[] (char*)fromValues;
		fromValues = NULL;
	}

	return fromValues;
}

bool MatFile::GetMatrixInfo(const char* name, ValueType& valueType, int& rows, int& cols)
{
    OVR_ASSERT(m_f);
	fseek(m_f, 0, SEEK_SET);	// rewind to start of file
	
	static const int maxVarNameLen = 255;
	char varName[maxVarNameLen+1];

	while (ReadMatrixInfo(varName, maxVarNameLen, valueType, rows, cols))
	{
		if (OVR_stricmp(name, varName) == 0)
			return true;
		// skip over data to next one
		ReadMatrixValues(NULL, valueType, rows, cols);
	}

	return false;
}

bool MatFile::ReadMatrixInfo(char name[], size_t maxNameSize, ValueType& valueType, int& rows, int& cols)
{
	if (name && maxNameSize > 0)
		name[0] = 0;

	valueType = UnknownValue;
	rows = 0;
	cols = 0;

    OVR_ASSERT(m_f);
	if (!m_f)
		return false;

	Fmatrix header;
	if (fread(&header, sizeof(header), 1, m_f) != 1)
		return false;

	// Read transpose of row and column values stored in the file
	cols = header.mrows;
	rows = header.ncols;

	if (FX_FORM(header.type) != FX_FORM_IEEE_LE)
	{
        OVR_ASSERT(false);
		return false;
	}

	// Imaginary not supported
	if (header.imagf != 0)
	{
        OVR_ASSERT(false);
		return false;
	}

	// sparse matrices not supported
	if (FX_MAT(header.type) == FX_MAT_SPARSE)
	{
        OVR_ASSERT(false);
		return false;
	}

	// Special case for strings as text matrixes: they are stored as doubles(!)
	if (FX_MAT(header.type) == FX_MAT_TEXT)
	{
		valueType = StringValue;
	}
	else
	{
        // only numeric types supported
        if (FX_MAT(header.type) != FX_MAT_NUMERIC)
        {
            OVR_ASSERT(false);
            return false;
        }
        size_t valueSize;
        valueType = GetValueType(FX_PREC(header.type), valueSize);
	}

	// Read in name
    OVR_ASSERT(maxNameSize >= header.namelen);
	if (maxNameSize < header.namelen)
		return false;

	if (fread(name, sizeof(char), header.namelen, m_f) != header.namelen)
		return false;

	return true;
}

bool MatFile::ReadMatrixValues(void* values, ValueType valueType, int rows, int cols)
{
    OVR_ASSERT(m_f);
	if (!m_f)
		return false;

    OVR_ASSERT(rows*cols > 0);

	size_t valueCount = (size_t)(rows * cols);
    size_t valueSize = 0;
    GetMatlabType(valueType, valueSize);
    if (valueSize == 0)
        return false;

    // If no values pointer specified, skip over data without reading
	if (!values)
	{
		if (fseek(m_f, (long)(valueSize * valueCount), SEEK_CUR) != 0)
			return false;
	}
	else
	{
		if (fread(values, valueSize, valueCount, m_f) != valueCount)
			return false;
	}

    return true;
}

bool MatFile::WriteMatrix(const char* name, const void* values, ValueType valueType, int rows, int cols)
{
	if (!m_f)
		return false;

    OVR_ASSERT(rows*cols > 0);

	size_t valueCount = (size_t)(rows * cols);
	size_t valueSize = 0;
    uint32_t matlabType = GetMatlabType(valueType, valueSize);
    if (valueSize == 0)
        return false;

	Fmatrix header;
	if (valueType == StringValue)
	{
		header.type = (FX_FORM_IEEE_LE + FX_MAT_TEXT);
	}
	else
	{
		header.type = (FX_FORM_IEEE_LE + FX_MAT_NUMERIC) + matlabType;
	}

	// NOTE: We store transposed dimensions!
	header.mrows = cols;
	header.ncols = rows;
	header.imagf = 0;
	header.namelen = (uint32_t)(strlen(name) + 1);
    OVR_ASSERT(header.namelen > 1);

	if (fwrite(&header, sizeof(header), 1, m_f) != 1)
		return false;
	if (fwrite(name, sizeof(char), header.namelen, m_f) != header.namelen)
		return false;
	if (fwrite(values, valueSize, valueCount, m_f) != valueCount)
		return false;

    return true;
}


}} // namespace OVR::Util