1 Commits
2.0.7 ... 2.0.5

Author SHA1 Message Date
81a40d8abc Create 2.0.5 release. 2008-12-01 08:11:43 +00:00
40 changed files with 1656 additions and 1936 deletions

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@ -1,24 +1,3 @@
NVIDIA Texture Tools version 2.0.7
* Output correct exit codes. Fixes issue 92.
* Fix thread-safety errors. Fixes issue 90.
* Add SIMD power method. Fixes issue 94.
* Interact better with applications that already use CUDA.
* Faster CPU compression.
NVIDIA Texture Tools version 2.0.6
* Fix dll version checking.
* Detect CUDA 2.1 and future CUDA versions correctly.
* Print CUDA detection message in nvcompress.
* Select the fastest CUDA device.
* Compile squish with -fPIC. Fixes issue 74.
* Fix warnings under gcc 4.3.2.
* Fix nvzoom option typo by Frank Richter. Fixes issue 81.
* Do not use CUDA to compress small mipmaps. Fixes issue 76.
* Compute mipmaps of semi-transparent images correctly.
* Shutdown CUDA properly. Fixes issue 83.
* Fix pixel format converions. Fixes issue 87.
* Update single color compression tables. Fixes issue 85.
NVIDIA Texture Tools version 2.0.5
* Fix error in single color compressor. Fixes issue 66.
* Detect mismatch between CUDA runtime and driver, and disable CUDA in that case.

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@ -1 +1 @@
2.0.7
2.0.5

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@ -53,8 +53,8 @@ END
//
VS_VERSION_INFO VERSIONINFO
FILEVERSION 2,0,6,0
PRODUCTVERSION 2,0,6,0
FILEVERSION 2,0,5,0
PRODUCTVERSION 2,0,5,0
FILEFLAGSMASK 0x17L
#ifdef _DEBUG
FILEFLAGS 0x1L
@ -71,12 +71,12 @@ BEGIN
BEGIN
VALUE "CompanyName", "NVIDIA Corporation"
VALUE "FileDescription", "NVIDIA Texture Tools Dynamic Link Library"
VALUE "FileVersion", "2, 0, 6, 0"
VALUE "FileVersion", "2, 0, 5, 0"
VALUE "InternalName", "nvtt"
VALUE "LegalCopyright", "Copyright (C) 2007"
VALUE "OriginalFilename", "nvtt.dll"
VALUE "ProductName", "NVIDIA Texture Tools Dynamic Link Library"
VALUE "ProductVersion", "2, 0, 6, 0"
VALUE "ProductVersion", "2, 0, 5, 0"
END
END
BLOCK "VarFileInfo"

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@ -105,8 +105,7 @@ ENDIF(OPENEXR_FOUND)
FIND_PACKAGE(Qt4)
# Threads
FIND_PACKAGE(Threads REQUIRED)
MESSAGE(STATUS "Use thread library: ${CMAKE_THREAD_LIBS_INIT}")
FIND_PACKAGE(Threads)
# configuration file
INCLUDE(CheckIncludeFiles)

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@ -824,13 +824,13 @@ namespace nv
}
/// Number of entries in the hash.
int size() const
int size()
{
return entry_count;
}
/// Number of entries in the hash.
int count() const
int count()
{
return size();
}

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@ -38,7 +38,7 @@
# include <unistd.h> // getpid
# include <sys/types.h>
# include <sys/sysctl.h> // sysctl
# include <sys/ucontext.h>
# include <ucontext.h>
# undef HAVE_EXECINFO_H
# if defined(HAVE_EXECINFO_H) // only after OSX 10.5
# include <execinfo.h> // backtrace
@ -136,11 +136,7 @@ namespace
#if defined(HAVE_EXECINFO_H) // NV_OS_LINUX
static bool nvHasStackTrace() {
#if NV_OS_DARWIN
return backtrace != NULL;
#else
return true;
#endif
}
static void nvPrintStackTrace(void * trace[], int size, int start=0) {
@ -405,7 +401,7 @@ namespace
{
void * trace[64];
int size = backtrace(trace, 64);
nvPrintStackTrace(trace, size, 2);
nvPrintStackTrace(trace, size, 3);
}
# endif

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@ -115,7 +115,6 @@ namespace nv
{
NVCORE_API void dumpInfo();
// These functions are not thread safe.
NVCORE_API void setMessageHandler( MessageHandler * messageHandler );
NVCORE_API void resetMessageHandler();

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@ -72,6 +72,8 @@ typedef uint32 uint;
#pragma warning(disable : 4711) // function selected for automatic inlining
#pragma warning(disable : 4725) // Pentium fdiv bug
#pragma warning(disable : 4345) // behavior change: an object of POD type constructed with an initializer of the form () will be default-initialized
#pragma warning(disable : 4786) // Identifier was truncated and cannot be debugged.
#pragma warning(disable : 4675) // resolved overload was found by argument-dependent lookup

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@ -47,25 +47,25 @@ public:
/** @name Stream implementation. */
//@{
virtual void seek( uint pos )
virtual void seek( int pos )
{
nvDebugCheck(m_fp != NULL);
nvDebugCheck(pos < size());
nvDebugCheck(pos >= 0 && pos < size());
fseek(m_fp, pos, SEEK_SET);
}
virtual uint tell() const
virtual int tell() const
{
nvDebugCheck(m_fp != NULL);
return ftell(m_fp);
}
virtual uint size() const
virtual int size() const
{
nvDebugCheck(m_fp != NULL);
uint pos = ftell(m_fp);
int pos = ftell(m_fp);
fseek(m_fp, 0, SEEK_END);
uint end = ftell(m_fp);
int end = ftell(m_fp);
fseek(m_fp, pos, SEEK_SET);
return end;
}
@ -117,11 +117,11 @@ public:
/** @name Stream implementation. */
//@{
/// Write data.
virtual uint serialize( void * data, uint len )
virtual void serialize( void * data, int len )
{
nvDebugCheck(data != NULL);
nvDebugCheck(m_fp != NULL);
return (uint)fwrite(data, 1, len, m_fp);
fwrite(data, len, 1, m_fp);
}
virtual bool isLoading() const
@ -156,11 +156,11 @@ public:
/** @name Stream implementation. */
//@{
/// Read data.
virtual uint serialize( void * data, uint len )
virtual void serialize( void * data, int len )
{
nvDebugCheck(data != NULL);
nvDebugCheck(m_fp != NULL);
return (uint)fread(data, 1, len, m_fp);
fread(data, len, 1, m_fp);
}
virtual bool isLoading() const
@ -184,40 +184,33 @@ class NVCORE_CLASS MemoryInputStream : public Stream
public:
/// Ctor.
MemoryInputStream( const uint8 * mem, uint size ) :
MemoryInputStream( const uint8 * mem, int size ) :
m_mem(mem), m_ptr(mem), m_size(size) { }
/** @name Stream implementation. */
//@{
/// Read data.
virtual uint serialize( void * data, uint len )
virtual void serialize( void * data, int len )
{
nvDebugCheck(data != NULL);
nvDebugCheck(!isError());
uint left = m_size - tell();
if (len > left) len = left;
memcpy( data, m_ptr, len );
m_ptr += len;
return len;
}
virtual void seek( uint pos )
virtual void seek( int pos )
{
nvDebugCheck(!isError());
m_ptr = m_mem + pos;
nvDebugCheck(!isError());
}
virtual uint tell() const
virtual int tell() const
{
nvDebugCheck(m_ptr >= m_mem);
return uint(m_ptr - m_mem);
return int(m_ptr - m_mem);
}
virtual uint size() const
virtual int size() const
{
return m_size;
}
@ -259,7 +252,7 @@ private:
const uint8 * m_mem;
const uint8 * m_ptr;
uint m_size;
int m_size;
};
@ -293,19 +286,17 @@ public:
/** @name Stream implementation. */
//@{
/// Read data.
virtual uint serialize( void * data, uint len )
virtual void serialize( void * data, int len )
{
nvDebugCheck(data != NULL);
len = m_s->serialize( data, len );
m_s->serialize( data, len );
if( m_s->isError() ) {
throw std::exception();
}
return len;
}
virtual void seek( uint pos )
virtual void seek( int pos )
{
m_s->seek( pos );
@ -314,12 +305,12 @@ public:
}
}
virtual uint tell() const
virtual int tell() const
{
return m_s->tell();
}
virtual uint size() const
virtual int size() const
{
return m_s->size();
}

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@ -209,11 +209,48 @@ StringBuilder::StringBuilder( const StringBuilder & s ) : m_size(0), m_str(NULL)
}
/** Copy string. */
StringBuilder::StringBuilder( const char * s ) : m_size(0), m_str(NULL)
StringBuilder::StringBuilder( const char * s )
{
copy(s);
}
/** Allocate and copy string. */
StringBuilder::StringBuilder( int size_hint, const StringBuilder & s) : m_size(size_hint), m_str(NULL)
{
nvDebugCheck(m_size > 0);
m_str = strAlloc(m_size);
copy(s);
}
/** Allocate and format string. */
StringBuilder::StringBuilder( const char * fmt, ... ) : m_size(0), m_str(NULL)
{
nvDebugCheck(fmt != NULL);
va_list arg;
va_start( arg, fmt );
format( fmt, arg );
va_end( arg );
}
/** Allocate and format string. */
StringBuilder::StringBuilder( int size_hint, const char * fmt, ... ) : m_size(size_hint), m_str(NULL)
{
nvDebugCheck(m_size > 0);
nvDebugCheck(fmt != NULL);
m_str = strAlloc(m_size);
va_list arg;
va_start( arg, fmt );
format( fmt, arg );
va_end( arg );
}
/** Delete the string. */
StringBuilder::~StringBuilder()
{
@ -241,7 +278,8 @@ StringBuilder & StringBuilder::format( const char * fmt, ... )
/** Format a string safely. */
StringBuilder & StringBuilder::format( const char * fmt, va_list arg )
{
nvDebugCheck(fmt != NULL);
nvCheck(fmt != NULL);
nvCheck(m_size >= 0);
if( m_size == 0 ) {
m_size = 64;
@ -289,7 +327,8 @@ StringBuilder & StringBuilder::format( const char * fmt, va_list arg )
/** Append a string. */
StringBuilder & StringBuilder::append( const char * s )
{
nvDebugCheck(s != NULL);
nvCheck(s != NULL);
nvCheck(m_size >= 0);
const uint slen = uint(strlen( s ));
@ -436,6 +475,31 @@ void StringBuilder::reset()
}
Path::Path(const char * fmt, ...)
{
nvDebugCheck( fmt != NULL );
va_list arg;
va_start( arg, fmt );
format( fmt, arg );
va_end( arg );
}
Path::Path(int size_hint, const char * fmt, ...) : StringBuilder(size_hint)
{
nvDebugCheck( fmt != NULL );
va_list arg;
va_start( arg, fmt );
format( fmt, arg );
va_end( arg );
}
/// Get the file name from a path.
const char * Path::fileName() const
{
@ -545,6 +609,8 @@ const char * Path::extension(const char * str)
}
// static
String String::s_null(String::null);
/// Clone this string
String String::clone() const
@ -555,13 +621,13 @@ String String::clone() const
void String::setString(const char * str)
{
if (str == NULL) {
data = NULL;
if( str == NULL ) {
data = s_null.data;
}
else {
allocString( str );
addRef();
}
addRef();
}
void String::setString(const char * str, int length)
@ -574,11 +640,11 @@ void String::setString(const char * str, int length)
void String::setString(const StringBuilder & str)
{
if (str.str() == NULL) {
data = NULL;
if( str.str() == NULL ) {
data = s_null.data;
}
else {
allocString(str);
addRef();
}
addRef();
}

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@ -47,6 +47,9 @@ namespace nv
explicit StringBuilder( int size_hint );
StringBuilder( const char * str );
StringBuilder( const StringBuilder & );
StringBuilder( int size_hint, const StringBuilder & );
StringBuilder( const char * format, ... ) __attribute__((format (printf, 2, 3)));
StringBuilder( int size_hint, const char * format, ... ) __attribute__((format (printf, 3, 4)));
~StringBuilder();
@ -117,16 +120,18 @@ namespace nv
char * m_str;
};
/// Path string. @@ This should be called PathBuilder.
/// Path string.
class NVCORE_CLASS Path : public StringBuilder
{
public:
Path() : StringBuilder() {}
explicit Path(int size_hint) : StringBuilder(size_hint) {}
Path(const char * str) : StringBuilder(str) {}
Path(const Path & path) : StringBuilder(path) {}
Path(const StringBuilder & str) : StringBuilder(str) {}
Path(int size_hint, const StringBuilder & str) : StringBuilder(size_hint, str) {}
Path(const char * format, ...) __attribute__((format (printf, 2, 3)));
Path(int size_hint, const char * format, ...) __attribute__((format (printf, 3, 4)));
const char * fileName() const;
const char * extension() const;
@ -135,7 +140,7 @@ namespace nv
void stripFileName();
void stripExtension();
// statics
NVCORE_API static char separator();
NVCORE_API static const char * fileName(const char *);
@ -151,14 +156,15 @@ namespace nv
/// Constructs a null string. @sa isNull()
String()
{
data = NULL;
data = s_null.data;
addRef();
}
/// Constructs a shared copy of str.
String(const String & str)
{
data = str.data;
if (data != NULL) addRef();
addRef();
}
/// Constructs a shared string from a standard string.
@ -182,6 +188,7 @@ namespace nv
/// Dtor.
~String()
{
nvDebugCheck(data != NULL);
release();
}
@ -218,49 +225,43 @@ namespace nv
/// Equal operator.
bool operator==( const String & str ) const
{
nvDebugCheck(data != NULL);
nvDebugCheck(str.data != NULL);
if( str.data == data ) {
return true;
}
if ((data == NULL) != (str.data == NULL)) {
return false;
}
return strcmp(data, str.data) == 0;
}
/// Equal operator.
bool operator==( const char * str ) const
{
nvDebugCheck(data != NULL);
nvCheck(str != NULL); // Use isNull!
if (data == NULL) {
return false;
}
return strcmp(data, str) == 0;
}
/// Not equal operator.
bool operator!=( const String & str ) const
{
nvDebugCheck(data != NULL);
nvDebugCheck(str.data != NULL);
if( str.data == data ) {
return false;
}
if ((data == NULL) != (str.data == NULL)) {
return true;
}
return strcmp(data, str.data) != 0;
}
/// Not equal operator.
bool operator!=( const char * str ) const
{
nvDebugCheck(data != NULL);
nvCheck(str != NULL); // Use isNull!
if (data == NULL) {
return false;
}
return strcmp(data, str) != 0;
}
/// Returns true if this string is the null string.
bool isNull() const { return data == NULL; }
bool isNull() const { nvDebugCheck(data != NULL); return data == s_null.data; }
/// Return the exact length.
uint length() const { nvDebugCheck(data != NULL); return uint(strlen(data)); }
@ -269,45 +270,44 @@ namespace nv
uint hash() const { nvDebugCheck(data != NULL); return strHash(data); }
/// const char * cast operator.
operator const char * () const { return data; }
operator const char * () const { nvDebugCheck(data != NULL); return data; }
/// Get string pointer.
const char * str() const { return data; }
const char * str() const { nvDebugCheck(data != NULL); return data; }
private:
enum null_t { null };
// Private constructor for null string.
String(null_t) {
setString("");
}
// Add reference count.
void addRef()
{
if (data != NULL)
{
setRefCount(getRefCount() + 1);
}
void addRef() {
nvDebugCheck(data != NULL);
setRefCount(getRefCount() + 1);
}
// Decrease reference count.
void release()
{
if (data != NULL)
{
const uint16 count = getRefCount();
setRefCount(count - 1);
if (count - 1 == 0) {
mem::free(data - 2);
data = NULL;
}
void release() {
nvDebugCheck(data != NULL);
const uint16 count = getRefCount();
setRefCount(count - 1);
if( count - 1 == 0 ) {
mem::free(data - 2);
data = NULL;
}
}
uint16 getRefCount() const
{
nvDebugCheck(data != NULL);
uint16 getRefCount() const {
return *reinterpret_cast<const uint16 *>(data - 2);
}
void setRefCount(uint16 count) {
nvDebugCheck(data != NULL);
nvCheck(count < 0xFFFF);
*reinterpret_cast<uint16 *>(const_cast<char *>(data - 2)) = uint16(count);
}
@ -346,6 +346,8 @@ namespace nv
private:
NVCORE_API static String s_null;
const char * data;
};

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@ -41,17 +41,17 @@ public:
ByteOrder byteOrder() const { return m_byteOrder; }
/// Serialize the given data.
virtual uint serialize( void * data, uint len ) = 0;
/// Serialize the given data. @@ Should return bytes serialized?
virtual void serialize( void * data, int len ) = 0;
/// Move to the given position in the archive.
virtual void seek( uint pos ) = 0;
virtual void seek( int pos ) = 0;
/// Return the current position in the archive.
virtual uint tell() const = 0;
virtual int tell() const = 0;
/// Return the current size of the archive.
virtual uint size() const = 0;
virtual int size() const = 0;
/// Determine if there has been any error.
virtual bool isError() const = 0;
@ -136,13 +136,13 @@ public:
protected:
/// Serialize in the stream byte order.
Stream & byteOrderSerialize( void * v, uint len ) {
Stream & byteOrderSerialize( void * v, int len ) {
if( m_byteOrder == getSystemByteOrder() ) {
serialize( v, len );
}
else {
for( uint i = len; i > 0; i-- ) {
serialize( (uint8 *)v + i - 1, 1 );
for( int i=len-1; i>=0; i-- ) {
serialize( (uint8 *)v + i, 1 );
}
}
return *this;

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@ -532,7 +532,7 @@ DDSHeader::DDSHeader()
// Store version information on the reserved header attributes.
this->reserved[9] = MAKEFOURCC('N', 'V', 'T', 'T');
this->reserved[10] = (2 << 16) | (0 << 8) | (7); // major.minor.revision
this->reserved[10] = (2 << 16) | (0 << 8) | (5); // major.minor.revision
this->pf.size = 32;
this->pf.flags = 0;
@ -989,10 +989,10 @@ void DirectDrawSurface::readLinearImage(Image * img)
stream->serialize(&c, byteCount);
Color32 pixel(0, 0, 0, 0xFF);
pixel.r = PixelFormat::convert((c & header.pf.rmask) >> rshift, rsize, 8);
pixel.g = PixelFormat::convert((c & header.pf.gmask) >> gshift, gsize, 8);
pixel.b = PixelFormat::convert((c & header.pf.bmask) >> bshift, bsize, 8);
pixel.a = PixelFormat::convert((c & header.pf.amask) >> ashift, asize, 8);
pixel.r = PixelFormat::convert(c >> rshift, rsize, 8);
pixel.g = PixelFormat::convert(c >> gshift, gsize, 8);
pixel.b = PixelFormat::convert(c >> bshift, bsize, 8);
pixel.a = PixelFormat::convert(c >> ashift, asize, 8);
img->pixel(x, y) = pixel;
}

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@ -33,10 +33,11 @@
* http://www.dspguide.com/ch16.htm
*/
#include "Filter.h"
#include <nvmath/Vector.h> // Vector4
#include <nvcore/Containers.h> // swap
#include <nvmath/nvmath.h> // fabs
#include <nvmath/Vector.h> // Vector4
#include <nvimage/Filter.h>
using namespace nv;
@ -503,7 +504,7 @@ void Kernel2::initBlendedSobel(const Vector4 & scale)
for (int i = 0; i < 7; i++) {
for (int e = 0; e < 7; e++) {
m_data[(i + 1) * 9 + e + 1] += elements[i * 7 + e] * scale.z();
m_data[i * 9 + e + 1] += elements[i * 7 + e] * scale.z();
}
}
}
@ -518,7 +519,7 @@ void Kernel2::initBlendedSobel(const Vector4 & scale)
for (int i = 0; i < 5; i++) {
for (int e = 0; e < 5; e++) {
m_data[(i + 2) * 9 + e + 2] += elements[i * 5 + e] * scale.y();
m_data[i * 9 + e + 2] += elements[i * 5 + e] * scale.y();
}
}
}
@ -531,7 +532,7 @@ void Kernel2::initBlendedSobel(const Vector4 & scale)
for (int i = 0; i < 3; i++) {
for (int e = 0; e < 3; e++) {
m_data[(i + 3) * 9 + e + 3] += elements[i * 3 + e] * scale.x();
m_data[i * 9 + e + 3] += elements[i * 3 + e] * scale.x();
}
}
}
@ -581,6 +582,7 @@ PolyphaseKernel::PolyphaseKernel(const Filter & f, uint srcLength, uint dstLengt
m_data[i * m_windowSize + j] /= total;
}
}
}
PolyphaseKernel::~PolyphaseKernel()

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@ -11,16 +11,16 @@ namespace nv
class Vector4;
/// Base filter class.
class NVIMAGE_CLASS Filter
class Filter
{
public:
Filter(float width);
virtual ~Filter();
NVIMAGE_API Filter(float width);
NVIMAGE_API virtual ~Filter();
float width() const { return m_width; }
float sampleDelta(float x, float scale) const;
float sampleBox(float x, float scale, int samples) const;
float sampleTriangle(float x, float scale, int samples) const;
NVIMAGE_API float width() const { return m_width; }
NVIMAGE_API float sampleDelta(float x, float scale) const;
NVIMAGE_API float sampleBox(float x, float scale, int samples) const;
NVIMAGE_API float sampleTriangle(float x, float scale, int samples) const;
virtual float evaluate(float x) const = 0;
@ -29,56 +29,56 @@ namespace nv
};
// Box filter.
class NVIMAGE_CLASS BoxFilter : public Filter
class BoxFilter : public Filter
{
public:
BoxFilter();
BoxFilter(float width);
virtual float evaluate(float x) const;
NVIMAGE_API BoxFilter();
NVIMAGE_API BoxFilter(float width);
NVIMAGE_API virtual float evaluate(float x) const;
};
// Triangle (bilinear/tent) filter.
class NVIMAGE_CLASS TriangleFilter : public Filter
class TriangleFilter : public Filter
{
public:
TriangleFilter();
TriangleFilter(float width);
virtual float evaluate(float x) const;
NVIMAGE_API TriangleFilter();
NVIMAGE_API TriangleFilter(float width);
NVIMAGE_API virtual float evaluate(float x) const;
};
// Quadratic (bell) filter.
class NVIMAGE_CLASS QuadraticFilter : public Filter
class QuadraticFilter : public Filter
{
public:
QuadraticFilter();
virtual float evaluate(float x) const;
NVIMAGE_API QuadraticFilter();
NVIMAGE_API virtual float evaluate(float x) const;
};
// Cubic filter from Thatcher Ulrich.
class NVIMAGE_CLASS CubicFilter : public Filter
class CubicFilter : public Filter
{
public:
CubicFilter();
virtual float evaluate(float x) const;
NVIMAGE_API CubicFilter();
NVIMAGE_API virtual float evaluate(float x) const;
};
// Cubic b-spline filter from Paul Heckbert.
class NVIMAGE_CLASS BSplineFilter : public Filter
class BSplineFilter : public Filter
{
public:
BSplineFilter();
virtual float evaluate(float x) const;
NVIMAGE_API BSplineFilter();
NVIMAGE_API virtual float evaluate(float x) const;
};
/// Mitchell & Netravali's two-param cubic
/// @see "Reconstruction Filters in Computer Graphics", SIGGRAPH 88
class NVIMAGE_CLASS MitchellFilter : public Filter
class MitchellFilter : public Filter
{
public:
MitchellFilter();
virtual float evaluate(float x) const;
NVIMAGE_API MitchellFilter();
NVIMAGE_API virtual float evaluate(float x) const;
void setParameters(float b, float c);
NVIMAGE_API void setParameters(float a, float b);
private:
float p0, p2, p3;
@ -86,29 +86,29 @@ namespace nv
};
// Lanczos3 filter.
class NVIMAGE_CLASS LanczosFilter : public Filter
class LanczosFilter : public Filter
{
public:
LanczosFilter();
virtual float evaluate(float x) const;
NVIMAGE_API LanczosFilter();
NVIMAGE_API virtual float evaluate(float x) const;
};
// Sinc filter.
class NVIMAGE_CLASS SincFilter : public Filter
class SincFilter : public Filter
{
public:
SincFilter(float w);
virtual float evaluate(float x) const;
NVIMAGE_API SincFilter(float w);
NVIMAGE_API virtual float evaluate(float x) const;
};
// Kaiser filter.
class NVIMAGE_CLASS KaiserFilter : public Filter
class KaiserFilter : public Filter
{
public:
KaiserFilter(float w);
virtual float evaluate(float x) const;
NVIMAGE_API KaiserFilter(float w);
NVIMAGE_API virtual float evaluate(float x) const;
void setParameters(float a, float stretch);
NVIMAGE_API void setParameters(float a, float stretch);
private:
float alpha;
@ -118,12 +118,12 @@ namespace nv
/// A 1D kernel. Used to precompute filter weights.
class NVIMAGE_CLASS Kernel1
class Kernel1
{
NV_FORBID_COPY(Kernel1);
public:
Kernel1(const Filter & f, int iscale, int samples = 32);
~Kernel1();
NVIMAGE_API Kernel1(const Filter & f, int iscale, int samples = 32);
NVIMAGE_API ~Kernel1();
float valueAt(uint x) const {
nvDebugCheck(x < (uint)m_windowSize);
@ -138,7 +138,7 @@ namespace nv
return m_width;
}
void debugPrint();
NVIMAGE_API void debugPrint();
private:
int m_windowSize;
@ -148,15 +148,15 @@ namespace nv
/// A 2D kernel.
class NVIMAGE_CLASS Kernel2
class Kernel2
{
public:
Kernel2(uint width);
Kernel2(const Kernel2 & k);
~Kernel2();
NVIMAGE_API Kernel2(uint width);
NVIMAGE_API Kernel2(const Kernel2 & k);
NVIMAGE_API ~Kernel2();
void normalize();
void transpose();
NVIMAGE_API void normalize();
NVIMAGE_API void transpose();
float valueAt(uint x, uint y) const {
return m_data[y * m_windowSize + x];
@ -166,12 +166,12 @@ namespace nv
return m_windowSize;
}
void initLaplacian();
void initEdgeDetection();
void initSobel();
void initPrewitt();
NVIMAGE_API void initLaplacian();
NVIMAGE_API void initEdgeDetection();
NVIMAGE_API void initSobel();
NVIMAGE_API void initPrewitt();
void initBlendedSobel(const Vector4 & scale);
NVIMAGE_API void initBlendedSobel(const Vector4 & scale);
private:
const uint m_windowSize;
@ -180,12 +180,12 @@ namespace nv
/// A 1D polyphase kernel
class NVIMAGE_CLASS PolyphaseKernel
class PolyphaseKernel
{
NV_FORBID_COPY(PolyphaseKernel);
public:
PolyphaseKernel(const Filter & f, uint srcLength, uint dstLength, int samples = 32);
~PolyphaseKernel();
NVIMAGE_API PolyphaseKernel(const Filter & f, uint srcLength, uint dstLength, int samples = 32);
NVIMAGE_API ~PolyphaseKernel();
int windowSize() const {
return m_windowSize;
@ -205,7 +205,7 @@ namespace nv
return m_data[column * m_windowSize + x];
}
void debugPrint() const;
NVIMAGE_API void debugPrint() const;
private:
int m_windowSize;

View File

@ -1,18 +1,16 @@
// This code is in the public domain -- castanyo@yahoo.es
#include <nvcore/Containers.h>
#include <nvcore/Ptr.h>
#include <nvmath/Color.h>
#include "FloatImage.h"
#include "Filter.h"
#include "Image.h"
#include <nvmath/Color.h>
#include <nvmath/Matrix.h>
#include <nvcore/Containers.h>
#include <nvcore/Ptr.h>
#include <math.h>
using namespace nv;
namespace
@ -142,8 +140,7 @@ Image * FloatImage::createImageGammaCorrect(float gamma/*= 2.2f*/) const
/// Allocate a 2d float image of the given format and the given extents.
void FloatImage::allocate(uint c, uint w, uint h)
{
free();
nvCheck(m_mem == NULL);
m_width = w;
m_height = h;
m_componentNum = c;
@ -154,6 +151,7 @@ void FloatImage::allocate(uint c, uint w, uint h)
/// Free the image, but don't clear the members.
void FloatImage::free()
{
nvCheck(m_mem != NULL);
nv::mem::free( reinterpret_cast<void *>(m_mem) );
m_mem = NULL;
}
@ -551,15 +549,6 @@ FloatImage * FloatImage::downSample(const Filter & filter, WrapMode wm) const
return resize(filter, w, h, wm);
}
/// Downsample applying a 1D kernel separately in each dimension.
FloatImage * FloatImage::downSample(const Filter & filter, WrapMode wm, uint alpha) const
{
const uint w = max(1, m_width / 2);
const uint h = max(1, m_height / 2);
return resize(filter, w, h, wm, alpha);
}
/// Downsample applying a 1D kernel separately in each dimension.
FloatImage * FloatImage::resize(const Filter & filter, uint w, uint h, WrapMode wm) const
@ -631,56 +620,10 @@ FloatImage * FloatImage::resize(const Filter & filter, uint w, uint h, WrapMode
return dst_image.release();
}
/// Downsample applying a 1D kernel separately in each dimension.
FloatImage * FloatImage::resize(const Filter & filter, uint w, uint h, WrapMode wm, uint alpha) const
{
nvCheck(alpha < m_componentNum);
AutoPtr<FloatImage> tmp_image( new FloatImage() );
AutoPtr<FloatImage> dst_image( new FloatImage() );
PolyphaseKernel xkernel(filter, m_width, w, 32);
PolyphaseKernel ykernel(filter, m_height, h, 32);
{
tmp_image->allocate(m_componentNum, w, m_height);
dst_image->allocate(m_componentNum, w, h);
Array<float> tmp_column(h);
tmp_column.resize(h);
for (uint c = 0; c < m_componentNum; c++)
{
float * tmp_channel = tmp_image->channel(c);
for (uint y = 0; y < m_height; y++) {
this->applyKernelHorizontal(xkernel, y, c, alpha, wm, tmp_channel + y * w);
}
}
// Process all channels before applying vertical kernel to make sure alpha has been computed.
for (uint c = 0; c < m_componentNum; c++)
{
float * dst_channel = dst_image->channel(c);
for (uint x = 0; x < w; x++) {
tmp_image->applyKernelVertical(ykernel, x, c, alpha, wm, tmp_column.unsecureBuffer());
for (uint y = 0; y < h; y++) {
dst_channel[y * w + x] = tmp_column[y];
}
}
}
}
return dst_image.release();
}
/// Apply 2D kernel at the given coordinates and return result.
float FloatImage::applyKernel(const Kernel2 * k, int x, int y, uint c, WrapMode wm) const
float FloatImage::applyKernel(const Kernel2 * k, int x, int y, int c, WrapMode wm) const
{
nvDebugCheck(k != NULL);
@ -709,7 +652,7 @@ float FloatImage::applyKernel(const Kernel2 * k, int x, int y, uint c, WrapMode
/// Apply 1D vertical kernel at the given coordinates and return result.
float FloatImage::applyKernelVertical(const Kernel1 * k, int x, int y, uint c, WrapMode wm) const
float FloatImage::applyKernelVertical(const Kernel1 * k, int x, int y, int c, WrapMode wm) const
{
nvDebugCheck(k != NULL);
@ -731,7 +674,7 @@ float FloatImage::applyKernelVertical(const Kernel1 * k, int x, int y, uint c, W
}
/// Apply 1D horizontal kernel at the given coordinates and return result.
float FloatImage::applyKernelHorizontal(const Kernel1 * k, int x, int y, uint c, WrapMode wm) const
float FloatImage::applyKernelHorizontal(const Kernel1 * k, int x, int y, int c, WrapMode wm) const
{
nvDebugCheck(k != NULL);
@ -754,7 +697,7 @@ float FloatImage::applyKernelHorizontal(const Kernel1 * k, int x, int y, uint c,
/// Apply 1D vertical kernel at the given coordinates and return result.
void FloatImage::applyKernelVertical(const PolyphaseKernel & k, int x, uint c, WrapMode wm, float * __restrict output) const
void FloatImage::applyKernelVertical(const PolyphaseKernel & k, int x, int c, WrapMode wm, float * output) const
{
const uint length = k.length();
const float scale = float(length) / float(m_height);
@ -786,7 +729,7 @@ void FloatImage::applyKernelVertical(const PolyphaseKernel & k, int x, uint c, W
}
/// Apply 1D horizontal kernel at the given coordinates and return result.
void FloatImage::applyKernelHorizontal(const PolyphaseKernel & k, int y, uint c, WrapMode wm, float * __restrict output) const
void FloatImage::applyKernelHorizontal(const PolyphaseKernel & k, int y, int c, WrapMode wm, float * output) const
{
const uint length = k.length();
const float scale = float(length) / float(m_width);
@ -817,93 +760,3 @@ void FloatImage::applyKernelHorizontal(const PolyphaseKernel & k, int y, uint c,
}
}
/// Apply 1D vertical kernel at the given coordinates and return result.
void FloatImage::applyKernelVertical(const PolyphaseKernel & k, int x, uint c, uint a, WrapMode wm, float * __restrict output) const
{
const uint length = k.length();
const float scale = float(length) / float(m_height);
const float iscale = 1.0f / scale;
const float width = k.width();
const int windowSize = k.windowSize();
const float * channel = this->channel(c);
const float * alpha = this->channel(a);
for (uint i = 0; i < length; i++)
{
const float center = (0.5f + i) * iscale;
const int left = (int)floorf(center - width);
const int right = (int)ceilf(center + width);
nvCheck(right - left <= windowSize);
float norm = 0;
float sum = 0;
for (int j = 0; j < windowSize; ++j)
{
const int idx = this->index(x, j+left, wm);
float w = k.valueAt(i, j) * (alpha[idx] + (1.0f / 256.0f));
norm += w;
sum += w * channel[idx];
}
output[i] = sum / norm;
}
}
/// Apply 1D horizontal kernel at the given coordinates and return result.
void FloatImage::applyKernelHorizontal(const PolyphaseKernel & k, int y, uint c, uint a, WrapMode wm, float * __restrict output) const
{
const uint length = k.length();
const float scale = float(length) / float(m_width);
const float iscale = 1.0f / scale;
const float width = k.width();
const int windowSize = k.windowSize();
const float * channel = this->channel(c);
const float * alpha = this->channel(a);
for (uint i = 0; i < length; i++)
{
const float center = (0.5f + i) * iscale;
const int left = (int)floorf(center - width);
const int right = (int)ceilf(center + width);
nvDebugCheck(right - left <= windowSize);
float norm = 0.0f;
float sum = 0;
for (int j = 0; j < windowSize; ++j)
{
const int idx = this->index(left + j, y, wm);
float w = k.valueAt(i, j) * (alpha[idx] + (1.0f / 256.0f));
norm += w;
sum += w * channel[idx];
}
output[i] = sum / norm;
}
}
FloatImage* FloatImage::clone() const
{
FloatImage* copy = new FloatImage();
copy->m_width = m_width;
copy->m_height = m_height;
copy->m_componentNum = m_componentNum;
copy->m_count = m_count;
if(m_mem)
{
copy->allocate(m_componentNum, m_width, m_height);
memcpy(copy->m_mem, m_mem, m_count * sizeof(float));
}
return copy;
}

View File

@ -3,20 +3,12 @@
#ifndef NV_IMAGE_FLOATIMAGE_H
#define NV_IMAGE_FLOATIMAGE_H
#include <nvimage/nvimage.h>
#include <nvmath/Vector.h>
#include <nvcore/Debug.h>
#include <nvcore/Containers.h> // clamp
#include <stdlib.h> // abs
#include <nvimage/nvimage.h>
namespace nv
{
class Vector4;
class Matrix;
class Image;
class Filter;
class Kernel1;
@ -68,22 +60,20 @@ public:
NVIMAGE_API void toGamma(uint base_component, uint num, float gamma = 2.2f);
NVIMAGE_API void exponentiate(uint base_component, uint num, float power);
NVIMAGE_API FloatImage * fastDownSample() const;
NVIMAGE_API FloatImage * downSample(const Filter & filter, WrapMode wm) const;
NVIMAGE_API FloatImage * downSample(const Filter & filter, WrapMode wm, uint alpha) const;
NVIMAGE_API FloatImage * resize(const Filter & filter, uint w, uint h, WrapMode wm) const;
NVIMAGE_API FloatImage * resize(const Filter & filter, uint w, uint h, WrapMode wm, uint alpha) const;
//NVIMAGE_API FloatImage * downSample(const Kernel1 & filter, WrapMode wm) const;
//NVIMAGE_API FloatImage * downSample(const Kernel1 & filter, uint w, uint h, WrapMode wm) const;
//@}
NVIMAGE_API float applyKernel(const Kernel2 * k, int x, int y, uint c, WrapMode wm) const;
NVIMAGE_API float applyKernelVertical(const Kernel1 * k, int x, int y, uint c, WrapMode wm) const;
NVIMAGE_API float applyKernelHorizontal(const Kernel1 * k, int x, int y, uint c, WrapMode wm) const;
NVIMAGE_API void applyKernelVertical(const PolyphaseKernel & k, int x, uint c, WrapMode wm, float * output) const;
NVIMAGE_API void applyKernelHorizontal(const PolyphaseKernel & k, int y, uint c, WrapMode wm, float * output) const;
NVIMAGE_API void applyKernelVertical(const PolyphaseKernel & k, int x, uint c, uint a, WrapMode wm, float * output) const;
NVIMAGE_API void applyKernelHorizontal(const PolyphaseKernel & k, int y, uint c, uint a, WrapMode wm, float * output) const;
NVIMAGE_API float applyKernel(const Kernel2 * k, int x, int y, int c, WrapMode wm) const;
NVIMAGE_API float applyKernelVertical(const Kernel1 * k, int x, int y, int c, WrapMode wm) const;
NVIMAGE_API float applyKernelHorizontal(const Kernel1 * k, int x, int y, int c, WrapMode wm) const;
NVIMAGE_API void applyKernelVertical(const PolyphaseKernel & k, int x, int c, WrapMode wm, float * output) const;
NVIMAGE_API void applyKernelHorizontal(const PolyphaseKernel & k, int y, int c, WrapMode wm, float * output) const;
uint width() const { return m_width; }
@ -119,9 +109,6 @@ public:
float sampleLinearMirror(float x, float y, int c) const;
//@}
FloatImage* clone() const;
public:
uint index(uint x, uint y) const;
@ -247,7 +234,7 @@ inline uint FloatImage::indexMirror(int x, int y) const
}
if (m_height == 1) y = 0;
y = abs(y);
while (y >= m_height) {
y = abs(m_height + m_height - y - 2);

View File

@ -78,7 +78,7 @@ void Image::unwrap()
void Image::free()
{
nv::mem::free(m_data);
::free(m_data);
m_data = NULL;
}

View File

@ -21,16 +21,15 @@
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
// OTHER DEALINGS IN THE SOFTWARE.
#include <nvcore/Ptr.h>
#include <nvmath/Color.h>
#include <nvimage/NormalMap.h>
#include <nvimage/Filter.h>
#include <nvimage/FloatImage.h>
#include <nvimage/Image.h>
#include <nvmath/Color.h>
#include <nvcore/Ptr.h>
using namespace nv;
// Create normal map using the given kernels.

View File

@ -39,7 +39,7 @@ namespace nv
bool isSupported() const
{
if (version != 1) {
nvDebug("*** bad version number %u\n", version);
printf("*** bad version number %u\n", version);
return false;
}
if (channel_count > 4) {

View File

@ -12,14 +12,11 @@ http://www.efg2.com/Lab/Library/ImageProcessing/DHALF.TXT
@@ This code needs to be reviewed, I'm not sure it's correct.
*/
#include <nvimage/Quantize.h>
#include <nvimage/Image.h>
#include <nvimage/PixelFormat.h>
#include <nvmath/Color.h>
#include <nvcore/Containers.h> // swap
#include <nvimage/Image.h>
#include <nvimage/Quantize.h>
#include <nvimage/PixelFormat.h>
using namespace nv;
@ -136,17 +133,17 @@ void nv::Quantize::Truncate(Image * image, uint rsize, uint gsize, uint bsize, u
Color32 pixel = image->pixel(x, y);
// Convert to our desired size, and reconstruct.
pixel.r = PixelFormat::convert(pixel.r, 8, rsize);
pixel.r = PixelFormat::convert(pixel.r, rsize, 8);
pixel.g = PixelFormat::convert(pixel.g, 8, gsize);
pixel.g = PixelFormat::convert(pixel.g, gsize, 8);
pixel.b = PixelFormat::convert(pixel.b, 8, bsize);
pixel.b = PixelFormat::convert(pixel.b, bsize, 8);
pixel.a = PixelFormat::convert(pixel.a, 8, asize);
pixel.a = PixelFormat::convert(pixel.a, asize, 8);
pixel.r = PixelFormat::convert(pixel.r, 8, rsize);
pixel.r = PixelFormat::convert(pixel.r, rsize, 8);
pixel.g = PixelFormat::convert(pixel.g, 8, gsize);
pixel.g = PixelFormat::convert(pixel.g, gsize, 8);
pixel.b = PixelFormat::convert(pixel.b, 8, bsize);
pixel.b = PixelFormat::convert(pixel.b, bsize, 8);
pixel.a = PixelFormat::convert(pixel.a, 8, asize);
pixel.a = PixelFormat::convert(pixel.a, asize, 8);
// Store color.
image->pixel(x, y) = pixel;
@ -155,65 +152,65 @@ void nv::Quantize::Truncate(Image * image, uint rsize, uint gsize, uint bsize, u
}
// Error diffusion. Floyd Steinberg.
void nv::Quantize::FloydSteinberg(Image * image, uint rsize, uint gsize, uint bsize, uint asize)
{
nvCheck(image != NULL);
const uint w = image->width();
const uint h = image->height();
Vector4 * row0 = new Vector4[w+2];
Vector4 * row1 = new Vector4[w+2];
memset(row0, 0, sizeof(Vector4)*(w+2));
memset(row1, 0, sizeof(Vector4)*(w+2));
for (uint y = 0; y < h; y++) {
for (uint x = 0; x < w; x++) {
Color32 pixel = image->pixel(x, y);
// Add error.
pixel.r = clamp(int(pixel.r) + int(row0[1+x].x()), 0, 255);
pixel.g = clamp(int(pixel.g) + int(row0[1+x].y()), 0, 255);
pixel.b = clamp(int(pixel.b) + int(row0[1+x].z()), 0, 255);
pixel.a = clamp(int(pixel.a) + int(row0[1+x].w()), 0, 255);
int r = pixel.r;
int g = pixel.g;
int b = pixel.b;
int a = pixel.a;
// Convert to our desired size, and reconstruct.
r = PixelFormat::convert(r, 8, rsize);
r = PixelFormat::convert(r, rsize, 8);
g = PixelFormat::convert(g, 8, gsize);
g = PixelFormat::convert(g, gsize, 8);
b = PixelFormat::convert(b, 8, bsize);
b = PixelFormat::convert(b, bsize, 8);
a = PixelFormat::convert(a, 8, asize);
a = PixelFormat::convert(a, asize, 8);
// Store color.
image->pixel(x, y) = Color32(r, g, b, a);
// Compute new error.
Vector4 diff(float(int(pixel.r) - r), float(int(pixel.g) - g), float(int(pixel.b) - b), float(int(pixel.a) - a));
// Propagate new error.
row0[1+x+1] += 7.0f / 16.0f * diff;
row1[1+x-1] += 3.0f / 16.0f * diff;
row1[1+x+0] += 5.0f / 16.0f * diff;
row1[1+x+1] += 1.0f / 16.0f * diff;
}
swap(row0, row1);
memset(row1, 0, sizeof(Vector4)*(w+2));
}
delete [] row0;
delete [] row1;
}
// Error diffusion. Floyd Steinberg.
void nv::Quantize::FloydSteinberg(Image * image, uint rsize, uint gsize, uint bsize, uint asize)
{
nvCheck(image != NULL);
const uint w = image->width();
const uint h = image->height();
Vector4 * row0 = new Vector4[w+2];
Vector4 * row1 = new Vector4[w+2];
memset(row0, 0, sizeof(Vector4)*(w+2));
memset(row1, 0, sizeof(Vector4)*(w+2));
for (uint y = 0; y < h; y++) {
for (uint x = 0; x < w; x++) {
Color32 pixel = image->pixel(x, y);
// Add error.
pixel.r = clamp(int(pixel.r) + int(row0[1+x].x()), 0, 255);
pixel.g = clamp(int(pixel.g) + int(row0[1+x].y()), 0, 255);
pixel.b = clamp(int(pixel.b) + int(row0[1+x].z()), 0, 255);
pixel.a = clamp(int(pixel.a) + int(row0[1+x].w()), 0, 255);
int r = pixel.r;
int g = pixel.g;
int b = pixel.b;
int a = pixel.a;
// Convert to our desired size, and reconstruct.
r = PixelFormat::convert(r, 8, rsize);
r = PixelFormat::convert(r, rsize, 8);
g = PixelFormat::convert(g, 8, gsize);
g = PixelFormat::convert(g, gsize, 8);
b = PixelFormat::convert(b, 8, bsize);
b = PixelFormat::convert(b, bsize, 8);
a = PixelFormat::convert(a, 8, asize);
a = PixelFormat::convert(a, asize, 8);
// Store color.
image->pixel(x, y) = Color32(r, g, b, a);
// Compute new error.
Vector4 diff(float(int(pixel.r) - r), float(int(pixel.g) - g), float(int(pixel.b) - b), float(int(pixel.a) - a));
// Propagate new error.
row0[1+x+1] += 7.0f / 16.0f * diff;
row1[1+x-1] += 3.0f / 16.0f * diff;
row1[1+x+0] += 5.0f / 16.0f * diff;
row1[1+x+1] += 1.0f / 16.0f * diff;
}
swap(row0, row1);
memset(row1, 0, sizeof(Vector4)*(w+2));
}
delete [] row0;
delete [] row1;
}

View File

@ -3,9 +3,6 @@
#ifndef NV_IMAGE_QUANTIZE_H
#define NV_IMAGE_QUANTIZE_H
#include <nvimage/nvimage.h>
namespace nv
{
class Image;

View File

@ -332,7 +332,7 @@ inline Matrix transpose(Matrix::Arg m)
Matrix r;
for (int i = 0; i < 4; i++)
{
for (int j = 0; j < 4; j++)
for (int j = 0; j < 4; i++)
{
r(i, j) = m(j, i);
}

View File

@ -48,37 +48,19 @@
#define IS_NEGATIVE_FLOAT(x) (IR(x)&SIGN_BITMASK)
*/
inline double sqrt_assert(const double f)
{
nvDebugCheck(f >= 0.0f);
return sqrt(f);
}
inline float sqrtf_assert(const float f)
inline float sqrt_assert(const float f)
{
nvDebugCheck(f >= 0.0f);
return sqrtf(f);
}
inline double acos_assert(const double f)
{
nvDebugCheck(f >= -1.0f && f <= 1.0f);
return acos(f);
}
inline float acosf_assert(const float f)
inline float acos_assert(const float f)
{
nvDebugCheck(f >= -1.0f && f <= 1.0f);
return acosf(f);
}
inline double asin_assert(const double f)
{
nvDebugCheck(f >= -1.0f && f <= 1.0f);
return asin(f);
}
inline float asinf_assert(const float f)
inline float asin_assert(const float f)
{
nvDebugCheck(f >= -1.0f && f <= 1.0f);
return asinf(f);
@ -86,11 +68,11 @@ inline float asinf_assert(const float f)
// Replace default functions with asserting ones.
#define sqrt sqrt_assert
#define sqrtf sqrtf_assert
#define sqrtf sqrt_assert
#define acos acos_assert
#define acosf acosf_assert
#define acosf acos_assert
#define asin asin_assert
#define asinf asinf_assert
#define asinf asin_assert
#if NV_OS_WIN32
#include <float.h>
@ -154,11 +136,6 @@ inline float lerp(float f0, float f1, float t)
return f0 * s + f1 * t;
}
inline float square(float f)
{
return f * f;
}
} // nv
#endif // NV_MATH_H

View File

@ -205,9 +205,9 @@ void nv::SlowCompressor::compressDXT1(const CompressionOptions::Private & compre
ColorBlock rgba;
BlockDXT1 block;
squish::WeightedClusterFit fit;
//squish::WeightedClusterFit fit;
//squish::ClusterFit fit;
//squish::FastClusterFit fit;
squish::FastClusterFit fit;
fit.SetMetric(compressionOptions.colorWeight.x(), compressionOptions.colorWeight.y(), compressionOptions.colorWeight.z());
for (uint y = 0; y < h; y += 4) {
@ -221,7 +221,7 @@ void nv::SlowCompressor::compressDXT1(const CompressionOptions::Private & compre
}
else
{
squish::ColourSet colours((uint8 *)rgba.colors(), 0, true);
squish::ColourSet colours((uint8 *)rgba.colors(), 0);
fit.SetColourSet(&colours, squish::kDxt1);
fit.Compress(&block);
}

View File

@ -53,7 +53,7 @@ using namespace nvtt;
namespace
{
static int blockSize(Format format)
{
if (format == Format_DXT1 || format == Format_DXT1a) {
@ -121,7 +121,7 @@ namespace nvtt
m_fixedImage = NULL;
m_floatImage = image;
}
// Convert linear float image to fixed image ready for compression.
void toFixedImage(const InputOptions::Private & inputOptions)
@ -153,7 +153,7 @@ namespace nvtt
if (inputOptions.isNormalMap)
{
// Expand normals to [-1, 1] range.
// floatImage->expandNormals(0);
// floatImage->expandNormals(0);
}
else if (inputOptions.inputGamma != 1.0f)
{
@ -193,7 +193,7 @@ namespace nvtt
return m_fixedImage.ptr();
}
private:
const Image * m_inputImage;
AutoPtr<Image> m_fixedImage;
@ -207,15 +207,26 @@ Compressor::Compressor() : m(*new Compressor::Private())
{
// CUDA initialization.
m.cudaSupported = cuda::isHardwarePresent();
m.cudaEnabled = false;
m.cudaDevice = -1;
m.cudaEnabled = m.cudaSupported;
enableCudaAcceleration(m.cudaSupported);
if (m.cudaEnabled)
{
// Select fastest CUDA device.
int device = cuda::getFastestDevice();
cuda::setDevice(device);
m.cuda = new CudaCompressor();
if (!m.cuda->isValid())
{
m.cudaEnabled = false;
m.cuda = NULL;
}
}
}
Compressor::~Compressor()
{
enableCudaAcceleration(false);
delete &m;
}
@ -225,33 +236,21 @@ void Compressor::enableCudaAcceleration(bool enable)
{
if (m.cudaSupported)
{
if (m.cudaEnabled && !enable)
m.cudaEnabled = enable;
}
if (m.cudaEnabled && m.cuda == NULL)
{
// Select fastest CUDA device.
int device = cuda::getFastestDevice();
cuda::setDevice(device);
m.cuda = new CudaCompressor();
if (!m.cuda->isValid())
{
m.cudaEnabled = false;
m.cuda = NULL;
if (m.cudaDevice != -1)
{
// Exit device.
cuda::exitDevice();
}
}
else if (!m.cudaEnabled && enable)
{
// Init the CUDA device. This may return -1 if CUDA was already initialized by the app.
m.cudaEnabled = cuda::initDevice(&m.cudaDevice);
if (m.cudaEnabled)
{
// Create compressor if initialization succeeds.
m.cuda = new CudaCompressor();
// But cleanup if failed.
if (!m.cuda->isValid())
{
enableCudaAcceleration(false);
}
}
}
}
}
@ -292,9 +291,9 @@ bool Compressor::Private::compress(const InputOptions::Private & inputOptions, c
if (outputOptions.errorHandler) outputOptions.errorHandler->error(Error_FileOpen);
return false;
}
inputOptions.computeTargetExtents();
// Output DDS header.
if (!outputHeader(inputOptions, compressionOptions, outputOptions))
{
@ -310,7 +309,7 @@ bool Compressor::Private::compress(const InputOptions::Private & inputOptions, c
}
outputOptions.closeFile();
return true;
}
@ -325,15 +324,15 @@ bool Compressor::Private::outputHeader(const InputOptions::Private & inputOption
}
DDSHeader header;
header.setWidth(inputOptions.targetWidth);
header.setHeight(inputOptions.targetHeight);
int mipmapCount = inputOptions.realMipmapCount();
nvDebugCheck(mipmapCount > 0);
header.setMipmapCount(mipmapCount);
if (inputOptions.textureType == TextureType_2D) {
header.setTexture2D();
}
@ -341,10 +340,10 @@ bool Compressor::Private::outputHeader(const InputOptions::Private & inputOption
header.setTextureCube();
}
/*else if (inputOptions.textureType == TextureType_3D) {
header.setTexture3D();
header.setDepth(inputOptions.targetDepth);
header.setTexture3D();
header.setDepth(inputOptions.targetDepth);
}*/
if (compressionOptions.format == Format_RGBA)
{
header.setPitch(computePitch(inputOptions.targetWidth, compressionOptions.bitcount));
@ -353,7 +352,7 @@ bool Compressor::Private::outputHeader(const InputOptions::Private & inputOption
else
{
header.setLinearSize(computeImageSize(inputOptions.targetWidth, inputOptions.targetHeight, inputOptions.targetDepth, compressionOptions.bitcount, compressionOptions.format));
if (compressionOptions.format == Format_DXT1 || compressionOptions.format == Format_DXT1a) {
header.setFourCC('D', 'X', 'T', '1');
if (inputOptions.isNormalMap) header.setNormalFlag(true);
@ -376,10 +375,10 @@ bool Compressor::Private::outputHeader(const InputOptions::Private & inputOption
if (inputOptions.isNormalMap) header.setNormalFlag(true);
}
}
// Swap bytes if necessary.
header.swapBytes();
uint headerSize = 128;
if (header.hasDX10Header())
{
@ -392,7 +391,7 @@ bool Compressor::Private::outputHeader(const InputOptions::Private & inputOption
{
outputOptions.errorHandler->error(Error_FileWrite);
}
return writeSucceed;
}
@ -428,7 +427,7 @@ bool Compressor::Private::compressMipmaps(uint f, const InputOptions::Private &
return false;
}
}
quantizeMipmap(mipmap, compressionOptions);
compressMipmap(mipmap, inputOptions, compressionOptions, outputOptions);
@ -438,7 +437,7 @@ bool Compressor::Private::compressMipmaps(uint f, const InputOptions::Private &
h = max(1U, h / 2);
d = max(1U, d / 2);
}
return true;
}
@ -489,7 +488,7 @@ int Compressor::Private::findExactMipmap(const InputOptions::Private & inputOpti
{
int idx = f * inputOptions.mipmapCount + m;
const InputOptions::Private::InputImage & inputImage = inputOptions.images[idx];
if (inputImage.width == int(w) && inputImage.height == int(h) && inputImage.depth == int(d))
{
if (inputImage.data != NULL)
@ -544,7 +543,7 @@ void Compressor::Private::downsampleMipmap(Mipmap & mipmap, const InputOptions::
mipmap.toFloatImage(inputOptions);
const FloatImage * floatImage = mipmap.asFloatImage();
if (inputOptions.mipmapFilter == MipmapFilter_Box)
{
// Use fast downsample.
@ -562,7 +561,7 @@ void Compressor::Private::downsampleMipmap(Mipmap & mipmap, const InputOptions::
filter.setParameters(inputOptions.kaiserAlpha, inputOptions.kaiserStretch);
mipmap.setImage(floatImage->downSample(filter, (FloatImage::WrapMode)inputOptions.wrapMode));
}
// Normalize mipmap.
if ((inputOptions.isNormalMap || inputOptions.convertToNormalMap) && inputOptions.normalizeMipmaps)
{
@ -590,7 +589,7 @@ void Compressor::Private::processInputImage(Mipmap & mipmap, const InputOptions:
if (inputOptions.convertToNormalMap)
{
mipmap.toFixedImage(inputOptions);
Vector4 heightScale = inputOptions.heightFactors;
mipmap.setImage(createNormalMap(mipmap.asFixedImage(), (FloatImage::WrapMode)inputOptions.wrapMode, heightScale, inputOptions.bumpFrequencyScale));
}
@ -698,7 +697,6 @@ bool Compressor::Private::compressMipmap(const Mipmap & mipmap, const InputOptio
SlowCompressor slow;
slow.setImage(image, inputOptions.alphaMode);
const bool useCuda = cudaEnabled && image->width() * image->height() >= 512;
if (compressionOptions.format == Format_RGBA || compressionOptions.format == Format_RGB)
{
@ -715,29 +713,29 @@ bool Compressor::Private::compressMipmap(const Mipmap & mipmap, const InputOptio
#endif
#if defined(HAVE_ATITC)
if (compressionOptions.externalCompressor == "ati")
if (compressionOptions.externalCompressor == "ati")
{
atiCompressDXT1(image, outputOptions);
}
else
#endif
if (compressionOptions.quality == Quality_Fastest)
{
fast.compressDXT1(outputOptions);
}
else
{
if (cudaEnabled)
{
atiCompressDXT1(image, outputOptions);
nvDebugCheck(cudaSupported);
cuda->setImage(image, inputOptions.alphaMode);
cuda->compressDXT1(compressionOptions, outputOptions);
}
else
#endif
if (compressionOptions.quality == Quality_Fastest)
{
fast.compressDXT1(outputOptions);
}
else
{
if (useCuda)
{
nvDebugCheck(cudaSupported);
cuda->setImage(image, inputOptions.alphaMode);
cuda->compressDXT1(compressionOptions, outputOptions);
}
else
{
slow.compressDXT1(compressionOptions, outputOptions);
}
}
{
slow.compressDXT1(compressionOptions, outputOptions);
}
}
}
else if (compressionOptions.format == Format_DXT1a)
{
@ -747,7 +745,7 @@ bool Compressor::Private::compressMipmap(const Mipmap & mipmap, const InputOptio
}
else
{
if (useCuda)
if (cudaEnabled)
{
nvDebugCheck(cudaSupported);
/*cuda*/slow.compressDXT1a(compressionOptions, outputOptions);
@ -766,7 +764,7 @@ bool Compressor::Private::compressMipmap(const Mipmap & mipmap, const InputOptio
}
else
{
if (useCuda)
if (cudaEnabled)
{
nvDebugCheck(cudaSupported);
cuda->setImage(image, inputOptions.alphaMode);
@ -786,7 +784,7 @@ bool Compressor::Private::compressMipmap(const Mipmap & mipmap, const InputOptio
}
else
{
if (useCuda)
if (cudaEnabled)
{
nvDebugCheck(cudaSupported);
cuda->setImage(image, inputOptions.alphaMode);
@ -828,27 +826,27 @@ int Compressor::Private::estimateSize(const InputOptions::Private & inputOptions
const uint bitCount = compressionOptions.bitcount;
inputOptions.computeTargetExtents();
uint mipmapCount = inputOptions.realMipmapCount();
int size = 0;
for (uint f = 0; f < inputOptions.faceCount; f++)
{
uint w = inputOptions.targetWidth;
uint h = inputOptions.targetHeight;
uint d = inputOptions.targetDepth;
for (uint m = 0; m < mipmapCount; m++)
{
size += computeImageSize(w, h, d, bitCount, format);
// Compute extents of next mipmap:
w = max(1U, w / 2);
h = max(1U, h / 2);
d = max(1U, d / 2);
}
}
return size;
}

View File

@ -63,12 +63,10 @@ namespace nvtt
bool compressMipmap(const Mipmap & mipmap, const InputOptions::Private & inputOptions, const CompressionOptions::Private & compressionOptions, const OutputOptions::Private & outputOptions) const;
public:
bool cudaSupported;
bool cudaEnabled;
int cudaDevice;
nv::AutoPtr<nv::CudaCompressor> cuda;

View File

@ -94,7 +94,7 @@ void InputOptions::reset()
m.textureType = TextureType_2D;
m.inputFormat = InputFormat_BGRA_8UB;
m.alphaMode = AlphaMode_None;
m.alphaMode = AlphaMode_Transparency;
m.inputGamma = 2.2f;
m.outputGamma = 2.2f;

File diff suppressed because it is too large Load Diff

View File

@ -37,7 +37,7 @@
#if defined HAVE_CUDA
#include <cuda_runtime_api.h>
#include <cuda_runtime.h>
#endif
#include <time.h>

View File

@ -148,7 +148,7 @@ inline __device__ bool singleColor(const float3 * colors)
bool sameColor = false;
for (int i = 0; i < 16; i++)
{
sameColor &= (colors[i] == colors[0]);
sameColor &= (colors[idx] == colors[0]);
}
return sameColor;
#else

View File

@ -1,300 +1,193 @@
// Copyright NVIDIA Corporation 2007 -- Ignacio Castano <icastano@nvidia.com>
//
// Permission is hereby granted, free of charge, to any person
// obtaining a copy of this software and associated documentation
// files (the "Software"), to deal in the Software without
// restriction, including without limitation the rights to use,
// copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following
// conditions:
//
// The above copyright notice and this permission notice shall be
// included in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
// OTHER DEALINGS IN THE SOFTWARE.
#include <nvcore/Debug.h>
#include <nvcore/Library.h>
#include "CudaUtils.h"
#if defined HAVE_CUDA
#include <cuda.h>
#include <cuda_runtime_api.h>
#endif
using namespace nv;
using namespace cuda;
/* @@ Move this to win32 utils or somewhere else.
#if NV_OS_WIN32
#define WINDOWS_LEAN_AND_MEAN
#include <windows.h>
static bool isWindowsVista()
{
OSVERSIONINFO osvi;
osvi.dwOSVersionInfoSize = sizeof(OSVERSIONINFO);
::GetVersionEx(&osvi);
return osvi.dwMajorVersion >= 6;
}
typedef BOOL (WINAPI *LPFN_ISWOW64PROCESS) (HANDLE, PBOOL);
static bool isWow32()
{
LPFN_ISWOW64PROCESS fnIsWow64Process = (LPFN_ISWOW64PROCESS)GetProcAddress(GetModuleHandle("kernel32"), "IsWow64Process");
BOOL bIsWow64 = FALSE;
if (NULL != fnIsWow64Process)
{
if (!fnIsWow64Process(GetCurrentProcess(), &bIsWow64))
{
// Assume 32 bits.
return true;
}
}
return !bIsWow64;
}
#endif
*/
static bool isCudaDriverAvailable(int version)
{
#if defined HAVE_CUDA
#if NV_OS_WIN32
Library nvcuda("nvcuda.dll");
#else
Library nvcuda(NV_LIBRARY_NAME(cuda));
#endif
if (!nvcuda.isValid())
{
nvDebug("*** CUDA driver not found.\n");
return false;
}
if (version >= 2000)
{
void * address = nvcuda.bindSymbol("cuStreamCreate");
if (address == NULL) {
nvDebug("*** CUDA driver version < 2.0.\n");
return false;
}
}
if (version >= 2010)
{
void * address = nvcuda.bindSymbol("cuModuleLoadDataEx");
if (address == NULL) {
nvDebug("*** CUDA driver version < 2.1.\n");
return false;
}
}
if (version >= 2020)
{
typedef CUresult (CUDAAPI * PFCU_DRIVERGETVERSION)(int * version);
PFCU_DRIVERGETVERSION driverGetVersion = (PFCU_DRIVERGETVERSION)nvcuda.bindSymbol("cuDriverGetVersion");
if (driverGetVersion == NULL) {
nvDebug("*** CUDA driver version < 2.2.\n");
return false;
}
int driverVersion;
CUresult err = driverGetVersion(&driverVersion);
if (err != CUDA_SUCCESS) {
nvDebug("*** Error querying driver version: '%s'.\n", cudaGetErrorString((cudaError_t)err));
return false;
}
return driverVersion >= version;
}
#endif // HAVE_CUDA
return true;
}
/// Determine if CUDA is available.
bool nv::cuda::isHardwarePresent()
{
#if defined HAVE_CUDA
// Make sure that CUDA driver matches CUDA runtime.
if (!isCudaDriverAvailable(CUDART_VERSION))
{
nvDebug("CUDA driver not available for CUDA runtime %d\n", CUDART_VERSION);
return false;
}
int count = deviceCount();
if (count == 1)
{
// Make sure it's not an emulation device.
cudaDeviceProp deviceProp;
cudaGetDeviceProperties(&deviceProp, 0);
// deviceProp.name != Device Emulation (CPU)
if (deviceProp.major == -1 || deviceProp.minor == -1)
{
return false;
}
}
// @@ Make sure that warp size == 32
// @@ Make sure available GPU is faster than the CPU.
return count > 0;
#else
return false;
#endif
}
/// Get number of CUDA enabled devices.
int nv::cuda::deviceCount()
{
#if defined HAVE_CUDA
int gpuCount = 0;
cudaError_t result = cudaGetDeviceCount(&gpuCount);
if (result == cudaSuccess)
{
return gpuCount;
}
#endif
return 0;
}
// Make sure device meets requirements:
// - Not an emulation device.
// - Not an integrated device?
// - Faster than CPU.
bool nv::cuda::isValidDevice(int i)
{
#if defined HAVE_CUDA
cudaDeviceProp device_properties;
cudaGetDeviceProperties(&device_properties, i);
int gflops = device_properties.multiProcessorCount * device_properties.clockRate;
if (device_properties.major == -1 || device_properties.minor == -1) {
// Emulation device.
return false;
}
#if CUDART_VERSION >= 2030 // 2.3
/*if (device_properties.integrated)
{
// Integrated devices.
return false;
}*/
#endif
return true;
#else
return false;
#endif
}
int nv::cuda::getFastestDevice()
{
int max_gflops_device = -1;
#if defined HAVE_CUDA
int max_gflops = 0;
const int device_count = deviceCount();
for (int i = 0; i < device_count; i++)
{
if (isValidDevice(i))
{
cudaDeviceProp device_properties;
cudaGetDeviceProperties(&device_properties, i);
int gflops = device_properties.multiProcessorCount * device_properties.clockRate;
if (gflops > max_gflops)
{
max_gflops = gflops;
max_gflops_device = i;
}
}
}
#endif
return max_gflops_device;
}
/// Activate the given devices.
bool nv::cuda::initDevice(int * device_ptr)
{
nvDebugCheck(device_ptr != NULL);
#if defined HAVE_CUDA
#if CUDART_VERSION >= 2030 // 2.3
// Set device flags to yield in order to play nice with other threads and to find out if CUDA was already active.
cudaError_t resul = cudaSetDeviceFlags(cudaDeviceScheduleYield);
#endif
int device = getFastestDevice();
if (device == -1)
{
// No device is fast enough.
*device_ptr = -1;
return false;
}
// Select CUDA device.
cudaError_t result = cudaSetDevice(device);
if (result == cudaErrorSetOnActiveProcess)
{
int device;
result = cudaGetDevice(&device);
*device_ptr = -1; // No device to cleanup.
return isValidDevice(device); // Return true if device is valid.
}
else if (result != cudaSuccess)
{
nvDebug("*** CUDA Error: %s\n", cudaGetErrorString(result));
*device_ptr = -1;
return false;
}
*device_ptr = device;
return true;
#else
return false;
#endif
}
void nv::cuda::exitDevice()
{
#if defined HAVE_CUDA
cudaError_t result = cudaThreadExit();
if (result != cudaSuccess) {
nvDebug("*** CUDA Error: %s\n", cudaGetErrorString(result));
}
#endif
}
// Copyright NVIDIA Corporation 2007 -- Ignacio Castano <icastano@nvidia.com>
//
// Permission is hereby granted, free of charge, to any person
// obtaining a copy of this software and associated documentation
// files (the "Software"), to deal in the Software without
// restriction, including without limitation the rights to use,
// copy, modify, merge, publish, distribute, sublicense, and/or sell
// copies of the Software, and to permit persons to whom the
// Software is furnished to do so, subject to the following
// conditions:
//
// The above copyright notice and this permission notice shall be
// included in all copies or substantial portions of the Software.
//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
// EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
// OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
// NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
// HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
// WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
// OTHER DEALINGS IN THE SOFTWARE.
#include <nvcore/Debug.h>
#include <nvcore/Library.h>
#include "CudaUtils.h"
#if defined HAVE_CUDA
#include <cuda_runtime.h>
#endif
using namespace nv;
using namespace cuda;
#if NV_OS_WIN32
#define WINDOWS_LEAN_AND_MEAN
#include <windows.h>
static bool isWindowsVista()
{
OSVERSIONINFO osvi;
osvi.dwOSVersionInfoSize = sizeof(OSVERSIONINFO);
::GetVersionEx(&osvi);
return osvi.dwMajorVersion >= 6;
}
typedef BOOL (WINAPI *LPFN_ISWOW64PROCESS) (HANDLE, PBOOL);
static bool isWow32()
{
LPFN_ISWOW64PROCESS fnIsWow64Process = (LPFN_ISWOW64PROCESS)GetProcAddress(GetModuleHandle("kernel32"), "IsWow64Process");
BOOL bIsWow64 = FALSE;
if (NULL != fnIsWow64Process)
{
if (!fnIsWow64Process(GetCurrentProcess(), &bIsWow64))
{
// Assume 32 bits.
return true;
}
}
return !bIsWow64;
}
#endif
static bool isCudaDriverAvailable(uint version)
{
#if NV_OS_WIN32
Library nvcuda("nvcuda.dll");
#else
Library nvcuda(NV_LIBRARY_NAME(cuda));
#endif
if (!nvcuda.isValid())
{
return false;
}
if (version > 2000)
{
void * address = nvcuda.bindSymbol("cuStreamCreate");
if (address == NULL) return false;
}
if (version > 2010)
{
void * address = nvcuda.bindSymbol("cuLoadDataEx");
if (address == NULL) return false;
}
return true;
}
/// Determine if CUDA is available.
bool nv::cuda::isHardwarePresent()
{
#if defined HAVE_CUDA
#if NV_OS_WIN32
//if (isWindowsVista()) return false;
//if (isWindowsVista() || !isWow32()) return false;
#endif
int count = deviceCount();
if (count == 1)
{
// Make sure it's not an emulation device.
cudaDeviceProp deviceProp;
cudaGetDeviceProperties(&deviceProp, 0);
// deviceProp.name != Device Emulation (CPU)
if (deviceProp.major == -1 || deviceProp.minor == -1)
{
return false;
}
// Make sure that CUDA driver matches CUDA runtime.
if (!isCudaDriverAvailable(CUDART_VERSION))
{
return false;
}
// @@ Make sure that warp size == 32
}
return count > 0;
#else
return false;
#endif
}
/// Get number of CUDA enabled devices.
int nv::cuda::deviceCount()
{
#if defined HAVE_CUDA
int gpuCount = 0;
cudaError_t result = cudaGetDeviceCount(&gpuCount);
if (result == cudaSuccess)
{
return gpuCount;
}
#endif
return 0;
}
int nv::cuda::getFastestDevice()
{
int max_gflops_device = 0;
#if defined HAVE_CUDA
int max_gflops = 0;
const int device_count = deviceCount();
int current_device = 0;
while (current_device < device_count)
{
cudaDeviceProp device_properties;
cudaGetDeviceProperties(&device_properties, current_device);
int gflops = device_properties.multiProcessorCount * device_properties.clockRate;
if (device_properties.major != -1 && device_properties.minor != -1)
{
if( gflops > max_gflops )
{
max_gflops = gflops;
max_gflops_device = current_device;
}
}
current_device++;
}
#endif
return max_gflops_device;
}
/// Activate the given devices.
bool nv::cuda::setDevice(int i)
{
nvCheck(i < deviceCount());
#if defined HAVE_CUDA
cudaError_t result = cudaSetDevice(i);
return result == cudaSuccess;
#else
return false;
#endif
}

View File

@ -32,10 +32,7 @@ namespace nv
bool isHardwarePresent();
int deviceCount();
int getFastestDevice();
bool isValidDevice(int i);
bool initDevice(int * device_ptr);
void exitDevice();
bool setDevice(int i);
};
} // nv namespace

View File

@ -73,7 +73,7 @@ namespace nvtt
Format_DXT1a, // DXT1 with binary alpha.
Format_DXT3,
Format_DXT5,
Format_DXT5n, // Compressed HILO: R=1, G=y, B=0, A=x
Format_DXT5n, // Compressed HILO: R=0, G=x, B=0, A=y
// DX10 formats.
Format_BC1 = Format_DXT1,
@ -194,7 +194,7 @@ namespace nvtt
// Describe the format of the input.
NVTT_API void setFormat(InputFormat format);
// Set the way the input alpha channel is interpreted.
// Set the way the input alpha channel is interpreted. @@ Not implemented!
NVTT_API void setAlphaMode(AlphaMode alphaMode);
// Set gamma settings.

View File

@ -1,8 +1,13 @@
PROJECT(squish)
ENABLE_TESTING()
INCLUDE_DIRECTORIES(${CMAKE_CURRENT_SOURCE_DIR})
SET(SQUISH_SRCS
# alpha.cpp
# alpha.h
# clusterfit.cpp
# clusterfit.h
fastclusterfit.cpp
fastclusterfit.h
weightedclusterfit.cpp
@ -16,13 +21,32 @@ SET(SQUISH_SRCS
config.h
maths.cpp
maths.h
# rangefit.cpp
# rangefit.h
# singlecolourfit.cpp
# singlecolourfit.h
# singlecolourlookup.inl
# squish.cpp
# squish.h
simd.h
simd_sse.h
simd_ve.h)
ADD_LIBRARY(squish STATIC ${SQUISH_SRCS})
IF(CMAKE_COMPILER_IS_GNUCXX)
SET_TARGET_PROPERTIES(squish PROPERTIES COMPILE_FLAGS -fPIC)
ENDIF(CMAKE_COMPILER_IS_GNUCXX)
# libpng
#FIND_PACKAGE(PNG)
#IF(PNG_FOUND)
# INCLUDE_DIRECTORIES(${PNG_INCLUDE_DIR})
# ADD_EXECUTABLE(squishpng extra/squishpng.cpp)
# TARGET_LINK_LIBRARIES(squishpng squish ${PNG_LIBRARY})
#ENDIF(PNG_FOUND)
##ADD_EXECUTABLE(squishgen extra/squishgen.cpp)
#ADD_EXECUTABLE(squishtest extra/squishtest.cpp)
#TARGET_LINK_LIBRARIES(squishtest squish)
#ADD_TEST(SQUISHTEST squishtest)

View File

@ -24,7 +24,6 @@
-------------------------------------------------------------------------- */
#include "maths.h"
#include "simd.h"
#include <cfloat>
namespace squish {
@ -61,39 +60,12 @@ Sym3x3 ComputeWeightedCovariance( int n, Vec3 const* points, float const* weight
}
#define POWER_ITERATION_COUNT 8
#if SQUISH_USE_SIMD
Vec3 ComputePrincipleComponent( Sym3x3 const& matrix )
{
Vec4 const row0( matrix[0], matrix[1], matrix[2], 0.0f );
Vec4 const row1( matrix[1], matrix[3], matrix[4], 0.0f );
Vec4 const row2( matrix[2], matrix[4], matrix[5], 0.0f );
Vec4 v = VEC4_CONST( 1.0f );
for( int i = 0; i < POWER_ITERATION_COUNT; ++i )
{
// matrix multiply
Vec4 w = row0*v.SplatX();
w = MultiplyAdd(row1, v.SplatY(), w);
w = MultiplyAdd(row2, v.SplatZ(), w);
const int NUM = 8;
// get max component from xyz in all channels
Vec4 a = Max(w.SplatX(), Max(w.SplatY(), w.SplatZ()));
// divide through and advance
v = w*Reciprocal(a);
}
return v.GetVec3();
}
#else
Vec3 ComputePrincipleComponent( Sym3x3 const& matrix )
{
Vec3 v(1, 1, 1);
for (int i = 0; i < POWER_ITERATION_COUNT; i++)
{
for(int i = 0; i < NUM; i++) {
float x = v.X() * matrix[0] + v.Y() * matrix[1] + v.Z() * matrix[2];
float y = v.X() * matrix[1] + v.Y() * matrix[3] + v.Z() * matrix[4];
float z = v.X() * matrix[2] + v.Y() * matrix[4] + v.Z() * matrix[5];
@ -110,6 +82,5 @@ Vec3 ComputePrincipleComponent( Sym3x3 const& matrix )
return v;
}
#endif
} // namespace squish

File diff suppressed because it is too large Load Diff

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@ -87,10 +87,7 @@ struct MyErrorHandler : public nvtt::ErrorHandler
{
virtual void error(nvtt::Error e)
{
#if _DEBUG
nvDebugBreak();
#endif
printf("Error: '%s'\n", nvtt::errorString(e));
}
};
@ -257,12 +254,7 @@ int main(int argc, char *argv[])
}
}
const uint version = nvtt::version();
const uint major = version / 100;
const uint minor = version % 100;
printf("NVIDIA Texture Tools %u.%u - Copyright NVIDIA Corporation 2007\n\n", major, minor);
printf("NVIDIA Texture Tools - Copyright NVIDIA Corporation 2007\n\n");
if (input.isNull())
{
@ -289,7 +281,7 @@ int main(int argc, char *argv[])
printf(" -bc4 \tBC4 format (ATI1)\n");
printf(" -bc5 \tBC5 format (3Dc/ATI2)\n\n");
return EXIT_FAILURE;
return 1;
}
// @@ Make sure input file exists.
@ -304,13 +296,13 @@ int main(int argc, char *argv[])
if (!dds.isValid())
{
fprintf(stderr, "The file '%s' is not a valid DDS file.\n", input.str());
return EXIT_FAILURE;
return 1;
}
if (!dds.isSupported() || dds.isTexture3D())
{
fprintf(stderr, "The file '%s' is not a supported DDS file.\n", input.str());
return EXIT_FAILURE;
return 1;
}
uint faceCount;
@ -347,7 +339,7 @@ int main(int argc, char *argv[])
if (!image.load(input))
{
fprintf(stderr, "The file '%s' is not a supported image type.\n", input.str());
return EXIT_FAILURE;
return 1;
}
inputOptions.setTextureLayout(nvtt::TextureType_2D, image.width(), image.height());
@ -404,28 +396,33 @@ int main(int argc, char *argv[])
compressionOptions.setExternalCompressor(externalCompressor);
}
if (format == nvtt::Format_RGB)
{
compressionOptions.setQuantization(true, false, false);
//compressionOptions.setPixelFormat(16, 0xF000, 0x0F00, 0x00F0, 0x000F);
compressionOptions.setPixelFormat(16,
0x0F00,
0x00F0,
0x000F,
0xF000);
// 0x003F0000,
// 0x00003F00,
// 0x0000003F,
// 0x3F000000);
}
MyErrorHandler errorHandler;
MyOutputHandler outputHandler(output);
if (outputHandler.stream->isError())
{
fprintf(stderr, "Error opening '%s' for writting\n", output.str());
return EXIT_FAILURE;
return 1;
}
nvtt::Compressor compressor;
compressor.enableCudaAcceleration(!nocuda);
printf("CUDA acceleration ");
if (compressor.isCudaAccelerationEnabled())
{
printf("ENABLED\n\n");
}
else
{
printf("DISABLED\n\n");
}
outputHandler.setTotal(compressor.estimateSize(inputOptions, compressionOptions));
outputHandler.setDisplayProgress(!silent);
@ -438,16 +435,27 @@ int main(int argc, char *argv[])
// fflush(stdout);
// getchar();
/* LARGE_INTEGER temp;
QueryPerformanceFrequency((LARGE_INTEGER*) &temp);
double freq = ((double) temp.QuadPart) / 1000.0;
LARGE_INTEGER start_time;
QueryPerformanceCounter((LARGE_INTEGER*) &start_time);
*/
clock_t start = clock();
if (!compressor.process(inputOptions, compressionOptions, outputOptions))
{
return EXIT_FAILURE;
}
compressor.process(inputOptions, compressionOptions, outputOptions);
/*
LARGE_INTEGER end_time;
QueryPerformanceCounter((LARGE_INTEGER*) &end_time);
float diff_time = (float) (((double) end_time.QuadPart - (double) start_time.QuadPart) / freq);
printf("\rtime taken: %.3f seconds\n", diff_time/1000);
*/
clock_t end = clock();
printf("\rtime taken: %.3f seconds\n", float(end-start) / CLOCKS_PER_SEC);
return EXIT_SUCCESS;
return 0;
}

View File

@ -84,7 +84,7 @@ struct Error
{
mabse /= samples;
mse /= samples;
rmse = sqrtf(mse);
rmse = sqrt(mse);
psnr = (rmse == 0) ? 999.0f : 20.0f * log10(255.0f / rmse);
}
@ -134,7 +134,7 @@ struct NormalError
{
ade /= samples;
mse /= samples * 3;
rmse = sqrtf(mse);
rmse = sqrt(mse);
psnr = (rmse == 0) ? 999.0f : 20.0f * log10(255.0f / rmse);
}
}

View File

@ -113,7 +113,7 @@ int main(int argc, char *argv[])
((nv::KaiserFilter *)filter.ptr())->setParameters(4.0f, 1.0f);
}
}
else if (strcmp("-w", argv[i]) == 0)
else if (strcmp("-f", argv[i]) == 0)
{
if (i+1 == argc) break;
i++;