Index: trunk/psLib/src/fft/psImageFFT.c =================================================================== --- trunk/psLib/src/fft/psImageFFT.c (revision 28667) +++ trunk/psLib/src/fft/psImageFFT.c (revision 28998) @@ -532,2 +532,330 @@ return out; } + +void psKernelFFTFree(psKernelFFT *kernel) { + + if (!kernel->fft) return; + + bool threaded = psThreadPoolSize(); // Are we running threaded? + + FFTW_LOCK; + fftwf_free(kernel->fft); + FFTW_UNLOCK; + + return; +} + +psKernelFFT *psKernelFFTAlloc(const psKernel *input) { + + psKernelFFT *kernel = psAlloc(sizeof(psKernelFFT)); + psMemSetDeallocator(kernel, (psFreeFunc)psKernelFFTFree); + + kernel->fft = NULL; + + kernel->xMin = input->xMin; + kernel->xMax = input->xMax; + kernel->yMin = input->yMin; + kernel->yMax = input->yMax; + + kernel->paddedCols = 0; + kernel->paddedRows = 0; + + return kernel; +} + +// generate the FFTed kernel image appropriate to be used for convolution of the given input image +psKernelFFT *psImageConvolveKernelInit(const psImage *in, const psKernel *kernel) +{ + PS_ASSERT_IMAGE_NON_NULL(in, NULL); + PS_ASSERT_IMAGE_TYPE(in, PS_TYPE_F32, NULL); + PS_ASSERT_KERNEL_NON_NULL(kernel, NULL); + + bool threaded = psThreadPoolSize(); // Are we running threaded? + + int numCols = in->numCols, numRows = in->numRows; // Size of image + int xMin = kernel->xMin, xMax = kernel->xMax, yMin = kernel->yMin, yMax = kernel->yMax; // Kernel sizes + + // Need to pad the kernel (and later the input image) to protect from wrap-around effects + if (xMax - xMin > numCols || yMax - yMin > numRows) { + // Cannot pad the image if the kernel is larger. + psError(PS_ERR_BAD_PARAMETER_SIZE, true, + _("Kernel cannot extend further than input image size (%dx%d vs %dx%d)."), + xMax, yMax, numCols, numRows); + return NULL; + } + + int paddedCols = numCols + PS_MAX(-xMin, xMax); // Number of columns in padded image + int paddedRows = numRows + PS_MAX(-yMin, yMax); // Number of rows in padded image + +#if CONVOLVE_FFT_BINARY_SIZE + // Make the size an integer power of two + { + int twoCols, twoRows; // Size that is a factor of two + for (twoCols = 1; twoCols <= paddedCols && twoCols < INT_MAX - 1; twoCols <<= 1); // No action + for (twoRows = 1; twoRows <= paddedRows && twoRows < INT_MAX - 1; twoRows <<= 1); // No action + if (paddedCols > twoCols || paddedRows > twoRows) { + psError(PS_ERR_BAD_PARAMETER_SIZE, true, "Unable to scale size (%dx%d) up to factor of two", + paddedCols, paddedRows); + return NULL; + } + paddedCols = twoCols; + paddedRows = twoRows; + } +#endif + + int numPadded = paddedCols * paddedRows; // Number of pixels in padded image + + // Create data array containing the padded kernel + FFTW_LOCK; + psF32 *data = fftwf_malloc(numPadded * PSELEMTYPE_SIZEOF(PS_TYPE_F32)); // Data for FFTW + FFTW_UNLOCK; + + // Generate the padded kernel image. We could generate the padded kernel image using + // memcpy, but by going pixel by pixel we can apply the normalisation that corrects for the + // FFT renormalisation. By applying it to the kernel here, we save applying it to the + // output image(s). + + // copy kernel into data array + psF32 *dataPtr = data; // Pointer into FFTW data + float norm = 1.0 / (float)(paddedRows * paddedCols); // Normalisation to correct for FFT + + int xNegMin = PS_MIN(-1, xMin), xNegMax = PS_MIN(-1, xMax); // Min and max for x when negative + int xPosMin = PS_MAX(0, xMin), xPosMax = PS_MAX(0, xMax); // Min and max for x when positive + int yNegMin = PS_MIN(-1, yMin), yNegMax = PS_MIN(-1, yMax); // Min and max for x when negative + int yPosMin = PS_MAX(0, yMin), yPosMax = PS_MAX(0, yMax); // Min and max for x when positive + int blankCols = xNegMin + paddedCols - xPosMax - 1; // Number of columns between kernel extrema + int blankRows = (yNegMin + paddedRows - yPosMax - 1) * paddedCols; // Rows between kernel extrema + size_t blankColBytes = blankCols * PSELEMTYPE_SIZEOF(PS_TYPE_F32); // Number of bytes in blankCols + for (int y = yPosMin; y <= yPosMax; y++) { + // y is positive + for (int x = xPosMin; x <= xPosMax; x++, dataPtr++) { + // x is positive + *dataPtr = kernel->kernel[y][x] * norm; + } + // Columns between kernel extrema + memset(dataPtr, 0, blankColBytes); + dataPtr += blankCols; + for (int x = xNegMin; x <= xNegMax; x++, dataPtr++) { + // x is negative + *dataPtr = kernel->kernel[y][x] * norm; + } + } + // Rows between kernel extrema + memset(dataPtr, 0, blankRows * PSELEMTYPE_SIZEOF(PS_TYPE_F32)); + dataPtr += blankRows; + for (int y = yNegMin; y <= yNegMax; y++) { + // y is negative + for (int x = xPosMin; x <= xPosMax; x++, dataPtr++) { + // x is positive + *dataPtr = kernel->kernel[y][x] * norm; + } + // Columns between kernel extrema + memset(dataPtr, 0, blankColBytes); + dataPtr += blankCols; + for (int x = xNegMin; x <= xNegMax; x++, dataPtr++) { + // x is negative + *dataPtr = kernel->kernel[y][x] * norm; + } + } + +#if 0 + { + // Use this for inspecting the result of copying the kernel + psImage *test = psImageAlloc(paddedCols, paddedRows, PS_TYPE_F32); + psFree(test->p_rawDataBuffer); + test->p_rawDataBuffer = data; + test->data.V[0] = test->p_rawDataBuffer; + for (int y = 1; y < paddedRows; y++) { + test->data.V[y] = (psPtr)((int8_t *)test->data.V[y - 1] + paddedCols * PSELEMTYPE_SIZEOF(PS_TYPE_F32)); + } + // View image here or write to disk + test->p_rawDataBuffer = NULL; + psFree(test); + } +#endif + + // Do the forward FFT + // Note that the FFT images have different size from the input + FFTW_LOCK; + fftwf_complex *fft = fftwf_malloc((paddedCols/2 + 1) * paddedRows * sizeof(fftwf_complex)); // FFT + FFTW_UNLOCK; + + FFTW_LOCK; + fftwf_plan plan = fftwf_plan_dft_r2c_2d(paddedRows, paddedCols, data, fft, FFTW_PLAN_RIGOR); + FFTW_UNLOCK; + + fftwf_execute(plan); + + FFTW_LOCK; + fftwf_destroy_plan(plan); + fftwf_free(data); + FFTW_UNLOCK; + + psKernelFFT *output = psKernelFFTAlloc(kernel); + output->fft = fft; + output->paddedCols = paddedCols; + output->paddedRows = paddedRows; + + return output; +} + +psImage *psImageConvolveKernel(psImage *out, const psImage *in, const psImage *mask, psImageMaskType maskVal, const psKernelFFT *kernel) +{ + PS_ASSERT_IMAGE_NON_NULL(in, NULL); + PS_ASSERT_IMAGE_TYPE(in, PS_TYPE_F32, NULL); + PS_ASSERT_PTR_NON_NULL(kernel, NULL); + PS_ASSERT_PTR_NON_NULL(kernel->fft, NULL); + if (mask) { + PS_ASSERT_IMAGE_NON_NULL(mask, NULL); + PS_ASSERT_IMAGE_TYPE(mask, PS_TYPE_IMAGE_MASK, NULL); + PS_ASSERT_IMAGES_SIZE_EQUAL(mask, in, NULL); + } + + bool threaded = psThreadPoolSize(); // Are we running threaded? + + int numCols = in->numCols, numRows = in->numRows; // Size of image + int xMin = kernel->xMin, xMax = kernel->xMax, yMin = kernel->yMin, yMax = kernel->yMax; // Kernel sizes + + // Need to pad the input image to protect from wrap-around effects + if (xMax - xMin > numCols || yMax - yMin > numRows) { + // Cannot pad the image if the kernel is larger. + psError(PS_ERR_BAD_PARAMETER_SIZE, true, _("Kernel cannot extend further than input image size (%dx%d vs %dx%d)."), xMax, yMax, numCols, numRows); + return NULL; + } + + int paddedCols = numCols + PS_MAX(-xMin, xMax); // Number of columns in padded image + int paddedRows = numRows + PS_MAX(-yMin, yMax); // Number of rows in padded image + +#if CONVOLVE_FFT_BINARY_SIZE + // Make the size an integer power of two + { + int twoCols, twoRows; // Size that is a factor of two + for (twoCols = 1; twoCols <= paddedCols && twoCols < INT_MAX - 1; twoCols <<= 1); // No action + for (twoRows = 1; twoRows <= paddedRows && twoRows < INT_MAX - 1; twoRows <<= 1); // No action + if (paddedCols > twoCols || paddedRows > twoRows) { + psError(PS_ERR_BAD_PARAMETER_SIZE, true, "Unable to scale size (%dx%d) up to factor of two", + paddedCols, paddedRows); + return NULL; + } + paddedCols = twoCols; + paddedRows = twoRows; + } +#endif + + if (paddedCols != kernel->paddedCols) { + psError(PS_ERR_BAD_PARAMETER_SIZE, true, _("Image is inconsistent with allocated kernel")); + return NULL; + } + if (paddedRows != kernel->paddedRows) { + psError(PS_ERR_BAD_PARAMETER_SIZE, true, _("Image is inconsistent with allocated kernel")); + return NULL; + } + + int numPadded = paddedCols * paddedRows; // Number of pixels in padded image + + // Create data array containing the padded image + FFTW_LOCK; + psF32 *data = fftwf_malloc(numPadded * PSELEMTYPE_SIZEOF(PS_TYPE_F32)); // Data for FFTW + FFTW_UNLOCK; + psF32 *dataPtr = data; // Pointer into FFTW data + psF32 **imageData = in->data.F32; // Pointer into image data + + // Copy image into data array + size_t goodBytes = numCols * PSELEMTYPE_SIZEOF(PS_TYPE_F32); // Number of bytes per image row + size_t padBytes = (paddedCols - numCols) * PSELEMTYPE_SIZEOF(PS_TYPE_F32); // Number of bytes to pad + for (int y = 0; y < numRows; y++, dataPtr += paddedCols, imageData++) { + memcpy(dataPtr, *imageData, goodBytes); + memset(dataPtr + numCols, 0, padBytes); + } + memset(dataPtr, 0, (paddedRows - numRows) * paddedCols * PSELEMTYPE_SIZEOF(PS_TYPE_F32)); + +#if 0 + { + // Use this for inspecting the result of copying the image + psImage *test = psImageAlloc(paddedCols, paddedRows, PS_TYPE_F32); + psFree(test->p_rawDataBuffer); + test->p_rawDataBuffer = data; + test->data.V[0] = test->p_rawDataBuffer; + for (int y = 1; y < paddedRows; y++) { + test->data.V[y] = (psPtr)((int8_t *)test->data.V[y - 1] + + paddedCols * PSELEMTYPE_SIZEOF(PS_TYPE_F32)); + } + // View image here + test->p_rawDataBuffer = NULL; + psFree(test); + } +#endif + + // Mask bad pixels (which may be NANs), lest they infect everything + if (mask && maskVal) { + for (int y = 0; y < numRows; y++) { + for (int x = 0; x < numCols; x++) { + if (mask->data.PS_TYPE_IMAGE_MASK_DATA[y][x] & maskVal) { + data[x + paddedCols * y] = 0; + } + } + } + } + + // Do the forward FFT + // Note that the FFT images have different size from the input + FFTW_LOCK; + fftwf_complex *fft = fftwf_malloc((paddedCols/2 + 1) * paddedRows * sizeof(fftwf_complex)); // FFT + FFTW_UNLOCK; + + int fftCols = paddedCols/2 + 1, fftRows = paddedRows; // Size of FFT images + int fftPixels = fftCols * fftRows; // Number of pixels in FFT image + + FFTW_LOCK; + fftwf_plan forward = fftwf_plan_dft_r2c_2d(paddedRows, paddedCols, data, fft, FFTW_PLAN_RIGOR); + FFTW_UNLOCK; + + fftwf_execute(forward); + + FFTW_LOCK; + fftwf_destroy_plan(forward); + FFTW_UNLOCK; + + fftwf_complex *kernelFFT = kernel->fft; + + // Multiply the two transforms + for (int i = 0; i < fftPixels; i++) { + // (a + bi) * (c + di) = (ac - bd) + (bc + ad)i +#if !defined(FFTW_NO_Complex) && defined(_Complex_I) && defined(complex) && defined(I) + // C99 complex support + fft[i] *= kernelFFT[i]; +#else + // FFTW's backup complex support + float imageReal = fft[i][0], imageImag = fft[i][1]; + float kernelReal = kernelFFT[i][0], kernelImag = kernelFFT[i][1]; + fft[i][0] = imageReal * kernelReal - imageImag * kernelImag; + fft[i][1] = imageImag * kernelReal + imageReal * kernelImag; +#endif + } + + // Do the backward FFT + FFTW_LOCK; + fftwf_plan backward = fftwf_plan_dft_c2r_2d(paddedRows, paddedCols, fft, data, FFTW_PLAN_RIGOR); + FFTW_UNLOCK; + + fftwf_execute(backward); + + FFTW_LOCK; + fftwf_destroy_plan(backward); + fftwf_free(fft); + FFTW_UNLOCK; + + // Copy into the target, without the padding + out = psImageRecycle(out, numCols, numRows, PS_TYPE_F32); + psF32 **outData = out->data.F32; // Pointer into output + dataPtr = data; // Reset to start + for (int y = 0; y < numRows; y++, outData++, dataPtr += paddedCols) { + memcpy(*outData, dataPtr, goodBytes); + } + + FFTW_LOCK; + fftwf_free(data); + FFTW_UNLOCK; + + return out; +} Index: trunk/psLib/src/fft/psImageFFT.h =================================================================== --- trunk/psLib/src/fft/psImageFFT.h (revision 28667) +++ trunk/psLib/src/fft/psImageFFT.h (revision 28998) @@ -15,4 +15,14 @@ #include "psImage.h" #include "psImageConvolve.h" + +typedef struct { + void *fft; + int xMin; ///< Most negative x index + int yMin; ///< Most negative y index + int xMax; ///< Most positive x index + int yMax; ///< Most positive y index + int paddedCols; + int paddedRows; +} psKernelFFT; /// @addtogroup MathOps Mathematical Operations @@ -71,6 +81,26 @@ const psImage *mask, ///< Corresponding mask psImageMaskType maskVal, ///< Value to mask - const psKernel *kernel ///< kernel to colvolve with + const psKernel *kernel ///< kernel to convolve with + ); + +/// Allocate an the psKernelFFT structure +psKernelFFT *psKernelFFTAlloc( + const psKernel *input ///< kernel to convolve with ); + +/// Generate an FFT'ed kernel suitable for convolution with the given image +psKernelFFT *psImageConvolveKernelInit( + const psImage *in, ///< representative image to convolve + const psKernel *kernel ///< kernel to convolve with + ); + +/// Convolve the given image with the pre-FFT'ed kernel +psImage *psImageConvolveKernel( + psImage *out, ///< Output image, or NULL + const psImage *in, ///< Image to convolve + const psImage *mask, ///< Corresponding mask + psImageMaskType maskVal, ///< Value to mask + const psKernelFFT *kernel ///< kernel to convolve with + ); /// @} Index: trunk/psLib/src/jpeg/psImageJpeg.c =================================================================== --- trunk/psLib/src/jpeg/psImageJpeg.c (revision 28667) +++ trunk/psLib/src/jpeg/psImageJpeg.c (revision 28998) @@ -7,4 +7,5 @@ #include +#include #include "psMemory.h" #include "psImage.h" @@ -134,4 +135,144 @@ return psImageJpegColormapSet (map, "greyscale"); } + +// XXX need to fix library references for this (psLib does not depend on libkapa) +# if (0) +// XXX Add colormap bar with scale (min -> max) +// XXX Add option to plot the source overlay (pass in bDrawBuffer populated with points?) +// XXX need to update bDraw APIs to pass in/out structure and avoid the local static +bool psImageJpegNew(const psImageJpegColormap *map, const psImage *image, const char *filename, + float min, float max) +{ + PS_ASSERT_PTR_NON_NULL(map, false); + PS_ASSERT_IMAGE_NON_NULL(image, false); + PS_ASSERT_IMAGE_TYPE(image, PS_TYPE_F32, false); + PS_ASSERT_VECTOR_NON_NULL(map->red, false); + PS_ASSERT_VECTOR_NON_NULL(map->green, false); + PS_ASSERT_VECTOR_NON_NULL(map->blue, false); + PS_ASSERT_PTR_NON_NULL(filename, false); + PS_ASSERT_INT_POSITIVE(strlen(filename), false); + PS_ASSERT_FLOAT_REAL(min, false); + PS_ASSERT_FLOAT_REAL(max, false); + + float zero, scale; + struct jpeg_compress_struct cinfo; + struct jpeg_error_mgr jerr; + + long pixel; + JSAMPLE *jpegLine; // Points to data for current line + JSAMPROW jpegLineList[1]; // pointer to JSAMPLE row[s] + JSAMPLE *jpegImage; + JSAMPLE *outPix; + + /* JPEG init calls */ + cinfo.err = jpeg_std_error (&jerr); + jpeg_create_compress (&cinfo); + + /* open file, prep for jpeg */ + FILE *f = fopen(filename, "w"); + if (!f) { + psError(PS_ERR_IO, true, "failed to open %s for output\n", filename); + return false; + } + jpeg_stdio_dest(&cinfo, f); + + /* set up color jpeg buffers */ + int quality = 75; + cinfo.image_width = image->numCols; // image width and height, in pixels + cinfo.image_height = image->numRows; + cinfo.input_components = 3; + cinfo.in_color_space = JCS_RGB; + jpeg_set_defaults (&cinfo); + jpeg_set_quality (&cinfo, quality, true); // limit to baseline-JPEG values + jpeg_start_compress (&cinfo, true); + + psU8 *Rpix = map->red->data.U8; + psU8 *Gpix = map->green->data.U8; + psU8 *Bpix = map->blue->data.U8; + + if (max == min) { + zero = min - 0.1; + scale = 256.0/0.2; + } else { + zero = min; + scale = 256.0/(max - min); + } + + int dx = image->numCols; + int dy = image->numRows; + + // output image buffer and line buffer + jpegLine = psAlloc (3*dx*sizeof(JSAMPLE)); + jpegImage = psAlloc (3*dx*dy*sizeof(JSAMPLE)); + + // first copy the image data into the output buffer + for (int j = 0; j < dy; j++) { + psF32 *row = image->data.F32[j]; + + outPix = jpegLine; + for (int i = 0; i < dx; i++, outPix += 3) { + if (isfinite(row[i])) { + pixel = PS_JPEG_SCALEVALUE(row[i],zero,scale); + outPix[0] = Rpix[pixel]; + outPix[1] = Gpix[pixel]; + outPix[2] = Bpix[pixel]; + } else { + // XXX NAN value should be set per-color map + outPix[0] = 0x00; + outPix[1] = 0xff; + outPix[2] = 0x00; + } + } + memcpy (&jpegImage[j*3*dx], jpegLine, 3*dx); + } + + bDrawBuffer *bdbuf = bDrawBufferCreate(dx, dy); + bDrawSetBuffer(bdbuf); + bDrawColor red = KapaColorByName("red"); + bDrawSetStyle (red, 1, 0); + bDrawCircle(40.0, 20.0, 3.0); + + { + int Npalette; + png_color *palette = KapaPNGPalette (&Npalette); + bDrawColor white = KapaColorByName ("white"); + for (int j = 0; j < dy; j++) { + for (int i = 0; i < dx; i++) { + bDrawColor color = bdbuf[0].pixels[j][i]; + if (color == white) continue; + jpegImage[j*3*dx + 3*i + 0] = palette[color].red; + jpegImage[j*3*dx + 3*i + 1] = palette[color].green; + jpegImage[j*3*dx + 3*i + 2] = palette[color].blue; + } + } + } + bDrawBufferFree (bdbuf); + + // write out the image buffer + for (int j = 0; j < image->numRows; j++) { + jpegLineList[0] = &jpegImage[j*3*dx]; + if (jpeg_write_scanlines(&cinfo, jpegLineList, 1) == 0) { + psError(PS_ERR_IO, true, "Unable to write line %d to JPEG", j); + psFree(jpegLine); + psFree(jpegImage); + fclose(f); + return false; + } + } + + jpeg_finish_compress(&cinfo); + if (fclose(f) == EOF) { + psError(PS_ERR_IO, true, "Failed to close %s", filename); + psFree(jpegLine); + psFree(jpegImage); + return false; + } + jpeg_destroy_compress(&cinfo); + + psFree(jpegLine); + psFree(jpegImage); + return true; +} +# endif bool psImageJpeg(const psImageJpegColormap *map, const psImage *image, const char *filename, Index: trunk/psLib/src/math/psMinimizeLMM.c =================================================================== --- trunk/psLib/src/math/psMinimizeLMM.c (revision 28667) +++ trunk/psLib/src/math/psMinimizeLMM.c (revision 28998) @@ -441,4 +441,7 @@ } + // number of degrees of freedom for this fit + int nDOF = dy->n - params->n; + // calculate initial alpha and beta, set chisq (min->value) min->value = psMinLM_SetABX(alpha, beta, params, paramMask, x, y, dy, func); @@ -456,12 +459,14 @@ } - // iterate until the tolerance is reached, or give up - while ((min->iter < min->maxIter) && ((min->lastDelta > min->tol) || !isfinite(min->lastDelta))) { + // iterate until: (a) nIter = min->iter or (b) (chisq / ndof) < maxChisq and deltaChisq < minTol (but don't stop unless Chisq is finite) + bool done = (min->iter >= min->maxIter); + while (!done) { psTrace("psLib.math", 5, "Iteration number %d. (max iterations is %d).\n", min->iter, min->maxIter); - psTrace("psLib.math", 5, "Last delta is %f. Min->tol is %f.\n", min->lastDelta, min->tol); + psTrace("psLib.math", 5, "Last delta is %f. stop if < %f, accept if < %f\n", min->lastDelta, min->minTol, min->maxTol); // set a new guess for Alpha, Beta, Params if (!psMinLM_GuessABP(Alpha, Beta, Params, alpha, beta, params, paramMask, checkLimits, lambda, &dLinear)) { min->iter ++; + if (min->iter >= min->maxIter) break; lambda *= 10.0; continue; @@ -482,4 +487,5 @@ if (isnan(Chisq)) { min->iter ++; + if (min->iter >= min->maxIter) break; lambda *= 10.0; continue; @@ -492,9 +498,7 @@ psF32 rho = (min->value - Chisq) / dLinear; - psTrace("psLib.math", 5, "last chisq: %f, new chisq %f, delta: %f, dLinear: %f, rho: %f, lambda: %f\n", min->value, - Chisq, min->lastDelta, dLinear, rho, lambda); - - psTrace("psLib.math.dLinear", 5, "last chisq: %f, new chisq %f, delta: %f, dLinear: %f, rho: %f, lambda: %f\n", min->value, - Chisq, min->lastDelta, dLinear, rho, lambda); + psTrace("psLib.math", 5, "last chisq: %f, new chisq %f, delta: %f, dLinear: %f, rho: %f, lambda: %f, nDOF: %d\n", min->value, Chisq, min->lastDelta, dLinear, rho, lambda, nDOF); + + psTrace("psLib.math.dLinear", 5, "last chisq: %f, new chisq %f, delta: %f, dLinear: %f, rho: %f, lambda: %f\n", min->value, Chisq, min->lastDelta, dLinear, rho, lambda); // dump some useful info if trace is defined @@ -506,5 +510,5 @@ /* rho is positive if the new chisq is smaller; allow for some insignificant change (slight negative rho) */ if (rho >= -1e-6) { - min->lastDelta = (min->value - Chisq) / (dy->n - params->n); + min->lastDelta = (min->value - Chisq) / nDOF; min->value = Chisq; alpha = psImageCopy(alpha, Alpha, PS_TYPE_F32); @@ -516,4 +520,12 @@ } min->iter++; + + done = (min->iter >= min->maxIter); + + // check for convergence: + float chisqDOF = Chisq / nDOF; + if (!isfinite(min->maxChisqDOF) || ((chisqDOF < min->maxChisqDOF) && isfinite(min->lastDelta))) { + done |= (min->lastDelta < min->minTol); + } } psTrace("psLib.math", 5, "chisq: %f, last delta: %f, Niter: %d\n", min->value, min->lastDelta, min->iter); @@ -549,10 +561,12 @@ psFree(dy); } - if (min->iter == min->maxIter) { - psTrace("psLib.math", 3, "---- end (false) ----\n"); - return(false); - } - psTrace("psLib.math", 3, "---- end (true) ----\n"); - return(true); + + // if the last improvement was at least as good as maxTol, accept the fit: + if (min->lastDelta <= min->maxTol) { + psTrace("psLib.math", 6, "---- end (true) ----\n"); + return(true); + } + psTrace("psLib.math", 6, "---- end (false) ----\n"); + return(false); } @@ -588,6 +602,5 @@ } -psMinimization *psMinimizationAlloc(int maxIter, - float tol) +psMinimization *psMinimizationAlloc(int maxIter, float minTol, float maxTol) { PS_ASSERT_INT_NONNEGATIVE(maxIter, NULL); @@ -595,9 +608,13 @@ psMinimization *min = psAlloc(sizeof(psMinimization)); psMemSetDeallocator(min, (psFreeFunc)minimizationFree); + P_PSMINIMIZATION_SET_MAXITER(min,maxIter); - P_PSMINIMIZATION_SET_TOL(min,tol); + P_PSMINIMIZATION_SET_MIN_TOL(min,minTol); + P_PSMINIMIZATION_SET_MAX_TOL(min,maxTol); + min->value = 0.0; min->iter = 0; min->lastDelta = NAN; + min->maxChisqDOF = NAN; return(min); Index: trunk/psLib/src/math/psMinimizeLMM.h =================================================================== --- trunk/psLib/src/math/psMinimizeLMM.h (revision 28667) +++ trunk/psLib/src/math/psMinimizeLMM.h (revision 28998) @@ -33,6 +33,7 @@ #define PS_MAX_LMM_ITERATIONS 100 #define PS_MAX_MINIMIZE_ITERATIONS 100 -#define P_PSMINIMIZATION_SET_MAXITER(m,val) *(int*)&m->maxIter = val - #define P_PSMINIMIZATION_SET_TOL(m,val) *(float*)&m->tol = val +#define P_PSMINIMIZATION_SET_MAXITER(m,val) { *(int*)&m->maxIter = val; } +#define P_PSMINIMIZATION_SET_MIN_TOL(m,val) { *(float*)&m->minTol = val; } +#define P_PSMINIMIZATION_SET_MAX_TOL(m,val) { *(float*)&m->maxTol = val; } typedef enum { @@ -75,9 +76,11 @@ typedef struct { - const int maxIter; ///< Convergence limit - const float tol; ///< Error Tolerance + const int maxIter; ///< Convergence limit + const float minTol; ///< Convergence Tolerance (stop if we reach this value) + const float maxTol; ///< Max Tolerance (accept fit if last improvement was this good) float value; ///< Value of function at minimum int iter; ///< Number of iterations to date float lastDelta; ///< The last difference for the fit + float maxChisqDOF; ///< for Chisq minimization, require that we reach here before checking tolerance } psMinimization; @@ -102,5 +105,6 @@ psMinimization *psMinimizationAlloc( int maxIter, ///< Number of minimization iterations to perform. - float tol ///< Requested error tolerance + float minTol, ///< stop if tolerance is less than this + float maxTol ///< accept fit if tolerance is less than this ) PS_ATTR_MALLOC; Index: trunk/psLib/src/math/psMinimizePowell.c =================================================================== --- trunk/psLib/src/math/psMinimizePowell.c (revision 28667) +++ trunk/psLib/src/math/psMinimizePowell.c (revision 28998) @@ -457,5 +457,5 @@ mul = bracket->data.F32[1]; - if ((fabs(a-b) < min->tol) && (fabs(b-c) < min->tol)) { + if ((fabs(a-b) < min->minTol) && (fabs(b-c) < min->minTol)) { PS_VECTOR_ADD_MULTIPLE(params, paramMask, line, params, mul); min->value = func(params, coords); @@ -524,5 +524,5 @@ psTrace("psLib.math", 4, "---- psMinimizePowell() begin ----\n"); psTrace("psLib.math", 6, "min->maxIter is %d\n", min->maxIter); - psTrace("psLib.math", 6, "min->tol is %f\n", min->tol); + psTrace("psLib.math", 6, "min->minTol is %f\n", min->minTol); if (paramMask == NULL) { @@ -573,6 +573,8 @@ for (i=0;idata.PS_TYPE_VECTOR_MASK_DATA[i] == 0) { + P_PSMINIMIZATION_SET_MAXITER((&dummyMin),PS_MINIMIZE_POWELL_LINEMIN_MAX_ITERATIONS); - *(float*)&dummyMin.tol = PS_MINIMIZE_POWELL_LINEMIN_ERROR_TOLERANCE; + P_PSMINIMIZATION_SET_MIN_TOL((&dummyMin),PS_MINIMIZE_POWELL_LINEMIN_ERROR_TOLERANCE); + mul = LineMin(&dummyMin, Q, ((psVector *) v->data[i]), myParamMask, coords, func); @@ -677,5 +679,5 @@ // 8: Go to step 3 until the change is less than some tolerance. - if (fabs(baseFuncVal - currFuncVal) <= min->tol) { + if (fabs(baseFuncVal - currFuncVal) <= min->minTol) { psFree(v); psFree(pQP); Index: trunk/psLib/src/math/psStats.c =================================================================== --- trunk/psLib/src/math/psStats.c (revision 28667) +++ trunk/psLib/src/math/psStats.c (revision 28998) @@ -1211,5 +1211,5 @@ // Fit a Gaussian to the data. - psMinimization *minimizer = psMinimizationAlloc(100, 0.01); // The minimizer information + psMinimization *minimizer = psMinimizationAlloc(100, 0.01, 1.0); // The minimizer information psVector *params = psVectorAlloc(2, PS_TYPE_F32); // Parameters for the Gaussian // Initial guess for the mean (index 0) and var (index 1). Index: trunk/psLib/test/math/Makefile.am =================================================================== --- trunk/psLib/test/math/Makefile.am (revision 28667) +++ trunk/psLib/test/math/Makefile.am (revision 28998) @@ -49,5 +49,6 @@ tap_psMinimizePowell \ tap_psSpline1D \ - tap_psPolynomialMD + tap_psPolynomialMD \ + tap_psPolynomialMD_sampleDark # tap_psRandom Index: trunk/psLib/test/math/data/polyMD.dat =================================================================== --- trunk/psLib/test/math/data/polyMD.dat (revision 28998) +++ trunk/psLib/test/math/data/polyMD.dat (revision 28998) @@ -0,0 +1,5000 @@ +0 -76.6453006733 0 -0 0 1000 +0 -72.3008076439 0 -0 0 1000 +0 -76.8023579484 0 -0 0 1000 +0 -76.8077040466 0 -0 0 1000 +0 -75.6415950097 0 -0 0 1000 +0 -82.6267142952 0 -0 0 1000 +0 -75.951186959 0 -0 0 1000 +0 -78.3036737875 0 -0 0 1000 +0 -75.1696793985 0 -0 0 1000 +0 -75.3412046981 0 -0 0 1000 +0 -73.8333456324 0 -0 0 1000 +0 -76.9069591238 0 -0 0 1000 +0 -75.7393664898 0 -0 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+300 -73.4731399342 300 -22041.9419803 1619490.68754 10046.4048882 +300 -71.8470503673 300 -21554.1151102 1548599.59395 9704.14509198 +300 -72.3869147781 300 -21716.0744334 1571959.62933 9816.89628581 +300 -78.3804063276 300 -23514.1218983 1843046.42883 11127.3790967 +300 -81.9628116863 300 -24588.8435059 2015370.74986 11962.1326616 +300 -76.1688207364 300 -22850.6462209 1740506.77571 10631.267723 +300 -73.3589141863 300 -22007.6742559 1614459.08718 10022.1035795 +300 -77.6637128087 300 -23299.1138426 1809495.68617 10965.0005848 +300 -72.8230913607 300 -21846.9274082 1590960.7906 9908.63076778 +300 -83.4458092009 300 -25033.7427603 2088960.92196 12318.9610408 +300 -71.7154179966 300 -21514.625399 1542930.35353 9676.78613268 +300 -72.9526009858 300 -21885.7802957 1596624.59718 9935.9784785 +300 -72.24023493 300 -21672.070479 1565595.46282 9786.17555214 +300 -76.634764348 300 -22990.4293044 1761866.132 10734.5699274 +300 -81.3786036453 300 -24413.5810936 1986743.13938 11823.3761696 +300 -81.5621258145 300 -24468.6377443 1995714.11021 11866.8546075 +300 -78.5955749381 300 -23578.6724814 1853179.31996 11176.4297877 +300 -81.245013149 300 -24373.5039447 1980225.64848 11791.7906438 +300 -73.209647793 300 -21962.8943379 1607895.75899 9990.40643651 +300 -77.0243175915 300 -23107.2952775 1779823.65013 10821.4358687 +300 -82.4342122153 300 -24730.2636646 2038619.80307 12074.8424237 +300 -73.2486780857 300 -21974.6034257 1609610.65239 9998.6881763 +300 -77.1873812795 300 -23156.2143838 1787367.54864 10857.9323836 +300 -81.8773693538 300 -24563.2108061 2011171.08369 11941.7751483 +300 -82.180079712 300 -24654.0239136 2026069.65044 12013.9976544 +300 -83.6225166646 300 -25086.7549994 2097817.588 12361.919065 +300 -81.0123901272 300 -24303.7170382 1968902.20624 11736.9181052 +300 -79.1972408526 300 -23759.1722558 1881660.8876 11314.3251316 +300 -84.7584752619 300 -25427.5425786 2155199.73862 12640.3101286 +300 -75.6486847761 300 -22694.6054328 1716817.05251 10516.7201267 +300 -81.9595646925 300 -24587.8694077 2015211.07337 11961.3586317 +300 -79.6300554635 300 -23889.016639 1902283.71993 11414.1931837 +300 -76.9266597516 300 -23077.9979255 1775313.29416 10799.6165227 +300 -78.5474231346 300 -23564.2269404 1850909.30433 11165.4408481 +300 -78.0687044425 300 -23420.6113328 1828416.784 11056.5686367 +300 -78.4682618808 300 -23540.4785642 1847180.43678 11147.3902198 +300 -83.616447401 300 -25084.9342203 2097513.08279 12360.4420584 +300 -76.961645564 300 -23088.4936692 1776928.46638 10807.4299902 +300 -71.1378506855 300 -21341.3552056 1518178.14004 9557.35682008 +300 -81.013960456 300 -24304.1881368 1968978.53663 11737.2879797 +300 -74.1405397217 300 -22242.1619165 1649045.88907 10189.1753974 +300 -82.4540519616 300 -24736.2155885 2039601.20547 12079.6006376 +300 -78.9372704643 300 -23681.1811393 1869327.8005 11254.609474 +300 -76.7892498786 300 -23036.7749636 1768976.66908 10768.9639713 +300 -72.5279632707 300 -21758.3889812 1578091.63686 9846.49845976 +300 -71.5322052138 300 -21459.6615641 1535056.91482 9638.79303501 +300 -81.3288033107 300 -24398.6409932 1984312.27438 11811.5953471 +300 -73.7392538853 300 -22121.7761656 1631243.26907 10103.1719412 +300 -74.2452776199 300 -22273.583286 1653708.37466 10211.7022911 +300 -80.8846329473 300 -24265.3898842 1962697.1541 11706.8510234 +300 -76.8065851958 300 -23041.9755587 1769775.45883 10772.8279052 +300 -75.2850851251 300 -22585.5255375 1700353.21269 10437.127925 +300 -76.9817630857 300 -23094.5289257 1777857.55433 10811.9245485 +300 -71.9181996013 300 -21575.4598804 1551668.23017 9718.95465382 +300 -79.3875823805 300 -23816.2747142 1890716.47087 11358.1754865 +300 -73.2309645199 300 -21969.289356 1608832.24935 9994.92901286 +300 -82.2717417622 300 -24681.5225287 2030591.84778 12035.9211757 Index: trunk/psLib/test/math/data/polyMD.pro =================================================================== --- trunk/psLib/test/math/data/polyMD.pro (revision 28998) +++ trunk/psLib/test/math/data/polyMD.pro (revision 28998) @@ -0,0 +1,64 @@ + +list times +0.0 +10.0 +30.0 +100.0 +300.0 +end + +macro mkfake + + delete -q exptime + + create n 0 1000 + for i 0 $times:n + set tmp = $times:$i + zero(n) + concat tmp exptime + end + + set temp = -85 + 15*rnd(exptime); + + $D0 = 1000.0 + $D1 = 5.0 + $D2 = 0.025 + $D3 = 0.005 + + set f = $D0 + $D1*exptime + $D2*exptime*temp + $D3*exptime*temp^2; + + set f0 = $D0 + $D2*temp + $D3*temp^2; + set f1 = $D0 + $D1*exptime + $D2*exptime*temp + set f2 = $D0 + $D1*exptime + $D3*exptime*temp^2; + + set ord1 = exptime + set ord2 = exptime * temp + set ord3 = exptime * temp^2 + + write polyMD.dat exptime temp ord1 ord2 ord3 f +end + +macro test.fit2d + fit2d exptime temp f 3 +end + +macro test.fit3d + fit3d ord1 ord2 ord3 f 1 +end + +macro testfit + $N = 100 + create x 0 $N + set y = $N*rnd(x) + set z = $N*rnd(x) + set f = 10 + 2*x - 3*y +5*z + fit3d x y z f 1 -v +end + +macro testfit2 + $N = 100 + create x 0 $N + set y = $N*rnd(x) + set z = $N*rnd(x) + set f = 10 + 2*x - 0.1*x^2 + 0.3*x*y - 3*y + 5*z - 20*z^2 + fit3d x y z f 2 -v +end Index: trunk/psLib/test/math/tap_psPolynomialMD_sampleDark.c =================================================================== --- trunk/psLib/test/math/tap_psPolynomialMD_sampleDark.c (revision 28998) +++ trunk/psLib/test/math/tap_psPolynomialMD_sampleDark.c (revision 28998) @@ -0,0 +1,107 @@ +#include +#include +#include "tap.h" +#include "pstap.h" + +#define TOL 1.0e-4 + +int main(int argc, char *argv[]) +{ + plan_tests(13); + { + psMemId id = psMemGetId(); + + FILE *f = fopen ("data/polyMD.dat", "r"); + ok (f, "open datafile"); + skip_start (!f, 10, "skipping tests using polyMD.dat"); + + psVector *exptime = psVectorAllocEmpty (100, PS_TYPE_F32); + psVector *temp = psVectorAllocEmpty (100, PS_TYPE_F32); + psVector *ord1 = psVectorAllocEmpty (100, PS_TYPE_F32); + psVector *ord2 = psVectorAllocEmpty (100, PS_TYPE_F32); + psVector *ord3 = psVectorAllocEmpty (100, PS_TYPE_F32); + psVector *flux = psVectorAllocEmpty (100, PS_TYPE_F32); + + float Exptime, Temp, Ord1, Ord2, Ord3, Flux; + + // load data: exptime temp ord1 ord2 ord3 f + for (int i = 0; true; i++) { + int status = fscanf (f, "%f %f %f %f %f %f", &Exptime, &Temp, &Ord1, &Ord2, &Ord3, &Flux); + if (status != 6) break; + psVectorAppend(exptime, Exptime); + psVectorAppend(temp, Temp); + psVectorAppend(ord1, Ord1); + psVectorAppend(ord2, Ord2); + psVectorAppend(ord3, Ord3); + psVectorAppend(flux, Flux); + psAssert (i < exptime->nalloc, "error reading data"); + } + ok (exptime->n == 5000, "read %d elements", exptime->n); + + // fit f to ord1, ord2, ord3 (1st order only) + { + psArray *ordinates = psArrayAlloc(exptime->n); + psVector *values = psVectorAlloc(exptime->n, PS_TYPE_F32); + + for (int i = 0; i < exptime->n; i++) { + values->data.F32[i] = flux->data.F32[i]; + psVector *ord = psVectorAlloc(3, PS_TYPE_F32); + ord->data.F32[0] = ord1->data.F32[i]; + ord->data.F32[1] = ord2->data.F32[i]; + ord->data.F32[2] = ord3->data.F32[i]; + ordinates->data[i] = ord; + } + + int XORDER = 1; + int YORDER = 1; + int ZORDER = 1; + + psVector *orders = psVectorAlloc(3, PS_TYPE_S32); + orders->data.S32[0] = XORDER; + orders->data.S32[1] = YORDER; + orders->data.S32[2] = ZORDER; + + psPolynomialMD *poly = psPolynomialMDAlloc(orders); + bool polyOK = psPolynomialMDFit(poly, values, NULL, NULL, 0, ordinates); + ok(polyOK, "Fit polynomial"); + skip_start(!polyOK, 4, "Skipping coefficient checks since fit failed."); + is_double_tol(poly->coeff->data.F64[0], 1000.0, TOL, "Coefficient %d", 0); + is_double_tol(poly->coeff->data.F64[1], 5.0, TOL, "Coefficient %d", 1); + is_double_tol(poly->coeff->data.F64[2], 0.025, TOL, "Coefficient %d", 2); + is_double_tol(poly->coeff->data.F64[3], 0.005, TOL, "Coefficient %d", 3); + skip_end(); + psFree(poly); + psFree(orders); + psFree(values); + psFree(ordinates); + } + + // fit f to exptime (1st order) and temp (2nd order) + // f = D0 + D1*exptime + D2*exptime*temp + D3*exptime*temp^2 + { + psPolynomial2D *poly = psPolynomial2DAlloc(PS_POLYNOMIAL_ORD, 1, 2); + poly->coeffMask[0][1] = 1; // x^0 y^1 + poly->coeffMask[0][2] = 1; // x^0 y^2 + + bool polyOK = psVectorFitPolynomial2D(poly, NULL, 0, flux, NULL, exptime, temp); + ok(polyOK, "Fit polynomial"); + + skip_start(!polyOK, 4, "Skipping coefficient checks since fit failed."); + is_double_tol(poly->coeff[0][0], 1000.0, TOL, "Coefficient %d %d", 0, 0); + is_double_tol(poly->coeff[1][0], 5.0, TOL, "Coefficient %d %d", 1, 0); + is_double_tol(poly->coeff[1][1], 0.025, TOL, "Coefficient %d %d", 1, 1); + is_double_tol(poly->coeff[1][2], 0.005, TOL, "Coefficient %d %d", 1, 2); + skip_end(); + psFree(poly); + } + psFree(exptime); + psFree(temp); + psFree(ord1); + psFree(ord2); + psFree(ord3); + psFree(flux); + ok(!psMemCheckLeaks (id, NULL, NULL, false), "no memory leaks"); + skip_end(); + } + exit(EXIT_SUCCESS); +}