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Searched refs:f_mean (Results 1 – 22 of 22) sorted by relevance

/dports/science/py-GPy/GPy-1.10.0/GPy/testing/
H A Dstate_space_main_tests.py251 (f_mean, f_var, loglikelhood, g_loglikelhood, \
259 f_mean_squeezed = np.squeeze(f_mean[1:,:]) # exclude initial value
273 return f_mean, f_var
292 (f_mean, f_var, loglikelhood, g_loglikelhood, \
301 f_mean_squeezed = np.squeeze(f_mean[1:,:]) # exclude initial value
310 return f_mean, f_var
394 plt.plot( f_mean, 'r.-',label='Kalman filter estimates')
397 plt.plot( f_mean + 2*np.sqrt(f_var), 'r.--')
398 plt.plot( f_mean - 2*np.sqrt(f_var), 'r.--')
461 plt.plot( np.squeeze(f_mean[1:]+H*f_var[1:]*H), 'b--')
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/dports/graphics/rawtherapee/rawtherapee-5.8/rtengine/
H A Dguidedfilter.cc123 const auto f_mean = in guidedFilter() local
147 f_mean(p1, I1, r1); in guidedFilter()
151 f_mean(I1, I1, r1); in guidedFilter()
161 f_mean(meanI, I1, r1); in guidedFilter()
164 f_mean(meanp, p1, r1); in guidedFilter()
168 f_mean(p1, p1, r1); in guidedFilter()
172 f_mean(I1, I1, r1); in guidedFilter()
180 f_mean(I1, I1, r1); in guidedFilter()
181 f_mean(p1, p1, r1); in guidedFilter()
/dports/graphics/art/ART-1.9.3/rtengine/
H A Dguidedfilter.cc162 const auto f_mean = in guidedFilter() local
183 f_mean(meanI, I1, r1); in guidedFilter()
187 f_mean(meanp, p1, r1); in guidedFilter()
192 f_mean(corrIp, corrIp, r1); in guidedFilter()
197 f_mean(corrI, corrI, r1); in guidedFilter()
217 f_mean(meana, a, r1); in guidedFilter()
221 f_mean(meanb, b, r1); in guidedFilter()
/dports/graphics/cimg/CImg-v.2.9.7/examples/
H A Dgaussian_fit1d.cpp82 float f_amp = 1, f_mean = 1, f_std = 1, f_lambda = f_lambda0; in main() local
83 if (f_params) std::sscanf(f_params,"%f%*c%f%*c%f",&f_amp,&f_mean,&f_std); in main()
87 f_mean = samples((int)cmax,0); in main()
91 CImg<> beta = CImg<>::vector(f_amp,f_mean,f_std); in main()
142 const float f_amp, const float f_mean, const float f_std, in draw_gaussfit() argument
164 yf0 = f_fact*std::exp(-cimg::sqr(x0 - f_mean)/f_std2); in draw_gaussfit()
/dports/graphics/gmic-qt/CImg-v.2.9.8/examples/
H A Dgaussian_fit1d.cpp82 float f_amp = 1, f_mean = 1, f_std = 1, f_lambda = f_lambda0; in main() local
83 if (f_params) std::sscanf(f_params,"%f%*c%f%*c%f",&f_amp,&f_mean,&f_std); in main()
87 f_mean = samples((int)cmax,0); in main()
91 CImg<> beta = CImg<>::vector(f_amp,f_mean,f_std); in main()
142 const float f_amp, const float f_mean, const float f_std, in draw_gaussfit() argument
164 yf0 = f_fact*std::exp(-cimg::sqr(x0 - f_mean)/f_std2); in draw_gaussfit()
/dports/graphics/photoflow/PhotoFlow-8472024f/src/operations/
H A Dguided_filter.cc280 const auto f_mean = f_mean2; in guidedFilter() local
322 f_mean(meanI, I1, r1, 0); in guidedFilter()
329 f_mean(meanp, p1, r1, 0); in guidedFilter()
351 f_mean(corrI, corrI, r1, 0); in guidedFilter()
389 f_mean(meana, a, r1, r1); in guidedFilter()
393 f_mean(meanb, b, r1, r1); in guidedFilter()
515 const auto f_mean = f_mean2; in guidedFilter() local
553 f_mean(meanp, p1, r1, 0); in guidedFilter()
563 f_mean(corrI, corrI, r1, 0); in guidedFilter()
594 f_mean(meana, a, r1, r1); in guidedFilter()
[all …]
H A Denhanced_usm.cc238 const auto f_mean = f_mean2; in eusm_gf() local
264 f_mean(meanI, I1, r1, 0); in eusm_gf()
276 f_mean(corrI, corrI, r1, 0); in eusm_gf()
317 f_mean(meana, a, r1, r1); in eusm_gf()
328 f_mean(meanb, b, r1, r1); in eusm_gf()
/dports/graphics/mirtk/MIRTK-2.0.0-122-g38210fa/Applications/src/
H A Daverage-measure.py157 f_mean = None variable
164 f_mean = open_table(args.mean_table, args.append, default=sys.stdout)
169 f_out = [f_mean, f_var, f_sdev, f_se] # order must be same as expected by write_stats!
259 close_table(f_mean)
/dports/devel/hyperscan/boost_1_75_0/libs/math/test/
H A Dtest_kolmogorov_smirnov.cpp70 auto f_mean = [&, dist](RealType t) { return pdf(dist, t) * t; }; in test_spots() local
71 BOOST_CHECK_CLOSE_FRACTION(integrator.integrate(f_mean, eps), mean, tol); in test_spots()
/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/mkldnn/tests/benchdnn/rnn/
H A Drnn.cpp372 return fill_memory(prb, kind, mem_dt, mem_fp, c.dt, c.f_mean, c.f_stddev, in fill_memory()
445 float expect_gemm_output = (1.f / prb.n_gates()) * prb.cfg[SRC_LAYER].f_mean in fill_src_iter_c()
446 + (1.f / prb.n_gates()) * prb.cfg[SRC_ITER].f_mean in fill_src_iter_c()
447 + prb.cfg[BIAS].f_mean; in fill_src_iter_c()
454 const bool need_adjust = expect_src_iter_c_mean < prb.cfg[SRC_ITER_C].f_mean in fill_src_iter_c()
455 && prb.cfg[SRC_ITER_C].f_mean != 0; in fill_src_iter_c()
457 adjust_factor = expect_src_iter_c_mean / prb.cfg[SRC_ITER_C].f_mean; in fill_src_iter_c()
461 c.f_mean * adjust_factor, c.f_stddev * adjust_factor, in fill_src_iter_c()
535 prb.cfg[kind].f_mean, prb.cfg[kind].f_stddev); in fill_bias()
H A Drnn.hpp185 float f_mean, f_stddev; // parameters of normal distribution member
H A Drnn_aux.cpp742 data_shift = cfg.is_s8() ? 0 : cfg[SRC_LAYER].f_mean; in set_qparams()
/dports/math/onednn/oneDNN-2.5.1/tests/benchdnn/rnn/
H A Drnn.cpp372 return fill_memory(prb, kind, mem_dt, mem_fp, c.dt, c.f_mean, c.f_stddev, in fill_memory()
445 float expect_gemm_output = (1.f / prb.n_gates()) * prb.cfg[SRC_LAYER].f_mean in fill_src_iter_c()
446 + (1.f / prb.n_gates()) * prb.cfg[SRC_ITER].f_mean in fill_src_iter_c()
447 + prb.cfg[BIAS].f_mean; in fill_src_iter_c()
454 const bool need_adjust = expect_src_iter_c_mean < prb.cfg[SRC_ITER_C].f_mean in fill_src_iter_c()
455 && prb.cfg[SRC_ITER_C].f_mean != 0; in fill_src_iter_c()
457 adjust_factor = expect_src_iter_c_mean / prb.cfg[SRC_ITER_C].f_mean; in fill_src_iter_c()
461 c.f_mean * adjust_factor, c.f_stddev * adjust_factor, in fill_src_iter_c()
535 prb.cfg[kind].f_mean, prb.cfg[kind].f_stddev); in fill_bias()
H A Drnn.hpp185 float f_mean, f_stddev; // parameters of normal distribution member
H A Drnn_aux.cpp742 data_shift = cfg.is_s8() ? 0 : cfg[SRC_LAYER].f_mean; in set_qparams()
/dports/misc/vxl/vxl-3.3.2/core/vil/tests/
H A Dtest_image_view_maths.cxx230 double f_mean, f_var; in test_image_view_maths_byte() local
231 vil_math_mean_and_variance(f_mean, f_var, f_image, 0); in test_image_view_maths_byte()
232 TEST_NEAR("Mean", f_mean, 0, test_tolerance); in test_image_view_maths_byte()
/dports/science/dakota/dakota-6.13.0-release-public.src-UI/src/unit_test/
H A Ddakota_hdf5_mixed_sampling.in36 descriptors 'f_mean'
/dports/science/code_saturne/code_saturne-7.1.0/src/alge/
H A Dcs_benchmark_matrix.c1400 double f_min, f_max, f_mean; in _matrix_time_spmv_stats_ops() local
1402 MPI_Allreduce(&f_loc, &f_mean, 1, MPI_DOUBLE, MPI_SUM, cs_glob_mpi_comm); in _matrix_time_spmv_stats_ops()
1406 f_mean /= cs_glob_n_ranks; in _matrix_time_spmv_stats_ops()
1412 f_mean, f_min, f_max); in _matrix_time_spmv_stats_ops()
/dports/science/code_saturne/code_saturne-7.1.0/src/lagr/
H A Dcs_lagr_stat.c2717 cs_field_t *f_mean = cs_field_by_id(mt_mean->f_id); in _cs_lagr_stat_update_mesh_moment() local
2718 cs_real_t *restrict m = f_mean->val; in _cs_lagr_stat_update_mesh_moment()
2914 cs_field_t *f_mean = cs_field_by_id(mt_mean->f_id); in _cs_lagr_stat_update_all() local
2915 mean_val = f_mean->val; in _cs_lagr_stat_update_all()
4833 cs_field_t *f_mean = cs_field_by_id(mt_mean->f_id); in cs_lagr_stat_update_event() local
4834 mean_val = f_mean->val; in cs_lagr_stat_update_event()
/dports/math/py-Pyomo/Pyomo-6.1.2/pyomo/contrib/sensitivity_toolbox/
H A Dsens.py348 f_mean = value(o)
/dports/graphics/opencv/opencv-4.5.3/contrib/modules/bioinspired/src/
H A Dretina_ocl.cpp722 float f_mean = static_cast<float>(mean[0]); in centerReductImageLuminance() local
729 (float)f_mean, (float)f_stddev); in centerReductImageLuminance()
/dports/science/code_saturne/code_saturne-7.1.0/src/base/
H A Dcs_time_moment.c2085 cs_field_t *f_mean = cs_field_by_id(mt_mean->f_id); in cs_time_moment_update_all() local
2086 m = f_mean->val; in cs_time_moment_update_all()