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/dports/science/py-nilearn/nilearn-0.8.1/examples/
H A Dplot_single_subject_single_run.py66 from nilearn.image import concat_imgs, mean_img
68 mean_img = mean_img(fmri_img) variable
207 plot_stat_map(z_map, bg_img=mean_img, threshold=3.0,
224 plot_stat_map(z_map, bg_img=mean_img, threshold=threshold,
239 plot_stat_map(z_map, bg_img=mean_img, threshold=threshold,
252 plot_stat_map(z_map, bg_img=mean_img, threshold=threshold,
266 plot_stat_map(clean_map, bg_img=mean_img, threshold=threshold,
321 plot_stat_map(clean_map, bg_img=mean_img, threshold=threshold,
/dports/science/py-nilearn/nilearn-0.8.1/examples/06_manipulating_images/
H A Dplot_roi_extraction.py101 mean_img = image.mean_img(fmri_img) variable
103 plot_epi(mean_img, title='Smoothed mean EPI', cut_coords=cut_coords)
165 plot_stat_map(log_p_values_img, mean_img,
191 plot_stat_map(log_p_values_img, mean_img,
233 plot_roi(bin_p_values_and_vt_img, mean_img, cut_coords=cut_coords,
258 plot_roi(dil_bin_p_values_and_vt_img, mean_img,
282 plot_roi(first_roi_img, mean_img, title='Connected components: first ROI')
287 plot_roi(second_roi_img, mean_img, title='Connected components: second ROI')
H A Dplot_nifti_simple.py35 from nilearn.image.image import mean_img
38 mean_func_img = mean_img(func_filename)
70 from nilearn.image.image import mean_img
73 mean_func_img = mean_img(func_filename)
H A Dplot_mask_computation.py43 miyawaki_mean_img = image.mean_img(miyawaki_filename)
76 mean_img = image.mean_img(epi_img) variable
77 plot_epi(mean_img, title='Mean EPI image')
/dports/misc/vxl/vxl-3.3.2/contrib/brl/bseg/brec/pro/processes/
H A Dbrec_construct_op_models_processes.cxx79 vil_image_view<float> mean_img(inp_mean); in brec_construct_bg_op_models_process() local
83 vil_image_view<float> lambda_img(mean_img.ni(), mean_img.nj()); in brec_construct_bg_op_models_process()
84 vil_image_view<float> k_img(mean_img.ni(), mean_img.nj()); in brec_construct_bg_op_models_process()
93 if (!p->construct_bg_response_model(mean_img, std_dev_img, lambda_img, k_img)) { in brec_construct_bg_op_models_process()
115 vil_image_view<float> mu_img(mean_img.ni(), mean_img.nj()); in brec_construct_bg_op_models_process()
116 vil_image_view<float> sigma_img(mean_img.ni(), mean_img.nj()); in brec_construct_bg_op_models_process()
125 if (!p->construct_bg_response_model_gauss(mean_img, std_dev_img, mu_img, sigma_img)) { in brec_construct_bg_op_models_process()
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/io/
H A Diter_normalize.h59 if (param_.mean_img.length() != 0) { in Init()
61 dmlc::Stream::Create(param_.mean_img.c_str(), "r", true)); in Init()
67 LOG(INFO) << "Load mean image from " << param_.mean_img; in Init()
215 LOG(INFO) << "Cannot find " << param_.mean_img in CreateMeanImg()
241 LOG(INFO) << "Save mean image to " << param_.mean_img << ".."; in CreateMeanImg()
264 if (param_.mean_img.length() != 0) { in Init()
266 dmlc::Stream::Create(param_.mean_img.c_str(), "r", true)); in Init()
272 LOG(INFO) << "Load mean image from " << param_.mean_img; in Init()
356 } else if (!meanfile_ready_ || param_.mean_img.length() == 0) { in SetOutImg()
382 LOG(INFO) << "Cannot find " << param_.mean_img in CreateMeanImg()
[all …]
H A Dimage_iter_common.h224 std::string mean_img; member
260 DMLC_DECLARE_FIELD(mean_img).set_default("") in DMLC_DECLARE_PARAMETER()
296 std::string mean_img; member
321 DMLC_DECLARE_FIELD(mean_img).set_default("") in DMLC_DECLARE_PARAMETER()
/dports/misc/mxnet/incubator-mxnet-1.9.0/src/io/
H A Diter_normalize.h59 if (param_.mean_img.length() != 0) { in Init()
61 dmlc::Stream::Create(param_.mean_img.c_str(), "r", true)); in Init()
67 LOG(INFO) << "Load mean image from " << param_.mean_img; in Init()
215 LOG(INFO) << "Cannot find " << param_.mean_img in CreateMeanImg()
241 LOG(INFO) << "Save mean image to " << param_.mean_img << ".."; in CreateMeanImg()
264 if (param_.mean_img.length() != 0) { in Init()
266 dmlc::Stream::Create(param_.mean_img.c_str(), "r", true)); in Init()
272 LOG(INFO) << "Load mean image from " << param_.mean_img; in Init()
356 } else if (!meanfile_ready_ || param_.mean_img.length() == 0) { in SetOutImg()
382 LOG(INFO) << "Cannot find " << param_.mean_img in CreateMeanImg()
[all …]
H A Dimage_iter_common.h224 std::string mean_img; member
260 DMLC_DECLARE_FIELD(mean_img).set_default("") in DMLC_DECLARE_PARAMETER()
296 std::string mean_img; member
321 DMLC_DECLARE_FIELD(mean_img).set_default("") in DMLC_DECLARE_PARAMETER()
/dports/science/py-nilearn/nilearn-0.8.1/examples/04_glm_first_level/
H A Dplot_predictions_residuals.py29 mean_img = image.mean_img(fmri_img) variable
30 mask = masking.compute_epi_mask(mean_img)
65 plotting.plot_stat_map(z_map, bg_img=mean_img, threshold=3.1)
105 axes=axs1[1, i], display_mode='z', colorbar=False, bg_img=mean_img)
146 plotting.plot_stat_map(fmri_glm.r_square[0], bg_img=mean_img, threshold=.1,
174 plotting.plot_stat_map(z_map_ftest, bg_img=mean_img, threshold=3.1,
H A Dplot_fixed_effects.py36 from nilearn.image import mean_img
37 mean_img_ = mean_img(fmri_img[0])
/dports/misc/mxnet/incubator-mxnet-1.9.0/cpp-package/example/feature_extract/
H A Dfeature_extract.cpp44 NDArray mean_img; member in FeatureExtractor
82 mean_img = NDArray(Shape(1, 3, 224, 224), global_ctx, false); in GetMeanImg()
83 mean_img.SyncCopyFromCPU( in GetMeanImg()
99 data.Slice(0, 1) -= mean_img; in Extract()
100 data.Slice(1, 2) -= mean_img; in Extract()
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/cpp-package/example/feature_extract/
H A Dfeature_extract.cpp44 NDArray mean_img; member in FeatureExtractor
82 mean_img = NDArray(Shape(1, 3, 224, 224), global_ctx, false); in GetMeanImg()
83 mean_img.SyncCopyFromCPU( in GetMeanImg()
99 data.Slice(0, 1) -= mean_img; in Extract()
100 data.Slice(1, 2) -= mean_img; in Extract()
/dports/science/py-nilearn/nilearn-0.8.1/examples/07_advanced/
H A Dplot_ica_resting_state.py74 mean_img = image.mean_img(func_filename) variable
76 plot_stat_map(image.index_img(component_img, 0), mean_img)
78 plot_stat_map(image.index_img(component_img, 1), mean_img)
/dports/science/py-nilearn/nilearn-0.8.1/examples/01_plotting/
H A Dplot_haxby_masks.py21 mean_img = image.mean_img(func_filename) variable
28 display = plot_anat(mean_img, display_mode='z', cut_coords=[z_slice],
H A Dplot_visualization.py25 from nilearn.image.image import mean_img
29 mean_haxby = mean_img(func_filename)
/dports/misc/vxl/vxl-3.3.2/contrib/brl/bseg/brec/tests/
H A Dtest_brec_hierarchy_detector_w_models.cxx52 vil_image_resource_sptr mean_img = vil_load_image_resource(mean_file.c_str()); in test_brec_hierarchy_detector_w_models() local
53 TEST("test load img", !mean_img, false); in test_brec_hierarchy_detector_w_models()
54 if (!mean_img) in test_brec_hierarchy_detector_w_models()
56 if (mean_img->ni() != ni || mean_img->nj() != nj) { in test_brec_hierarchy_detector_w_models()
104 vil_image_view<float> inp_mean_img(mean_img->get_view()); in test_brec_hierarchy_detector_w_models()
/dports/misc/vxl/vxl-3.3.2/contrib/brl/bseg/brec/
H A Dbrec_part_gaussian.cxx332 bool brec_part_gaussian::construct_bg_response_model(vil_image_view<float>& mean_img, in construct_bg_response_model() argument
337 unsigned ni = mean_img.ni(); in construct_bg_response_model()
338 unsigned nj = mean_img.nj(); in construct_bg_response_model()
341 …vil_image_view<float> mean_res = brip_vil_float_ops::extrema(mean_img, lambda0_, lambda1_, theta_,… in construct_bg_response_model()
377 unsigned ni = mean_img.ni(); in construct_bg_response_model_gauss()
378 unsigned nj = mean_img.nj(); in construct_bg_response_model_gauss()
381 …vil_image_view<float> mean_res = brip_vil_float_ops::extrema(mean_img, lambda0_, lambda1_, theta_,… in construct_bg_response_model_gauss()
753 vil_image_view<float>& mean_img, in update_foreground_posterior() argument
769 vil_image_view<float> mu_img(mean_img.ni(), mean_img.nj()); in update_foreground_posterior()
770 vil_image_view<float> sigma_img(mean_img.ni(), mean_img.nj()); in update_foreground_posterior()
[all …]
H A Dbrec_part_gaussian.h65 …bool construct_bg_response_model(vil_image_view<float>& mean_img, vil_image_view<float>& std_dev_i…
66 …bool construct_bg_response_model_gauss(vil_image_view<float>& mean_img, vil_image_view<float>& std…
87 vil_image_view<float>& mean_img,
/dports/science/py-nilearn/nilearn-0.8.1/nilearn/image/tests/
H A Dtest_image.py300 mean_img = image.mean_img(imgs)
301 assert_array_equal(mean_img.affine, affine)
302 assert_array_equal(get_data(mean_img), truth)
306 mean_img = image.mean_img(imgs)
307 assert_array_equal(mean_img.affine, affine)
309 assert_array_equal(get_data(mean_img), truth)
315 assert_allclose(get_data(mean_img), truth,
326 mean_img = nibabel.Nifti1Image(data.mean(axis=-1), affine=affine)
329 mean_img_with_resampling = image.mean_img(img,
331 resampled_mean_image = resampling.resample_img(mean_img,
/dports/misc/mxnet/incubator-mxnet-1.9.0/example/image-classification/
H A Dscore.py25 def score(model, data_val, metrics, gpus, batch_size, rgb_mean=None, mean_img=None, argument
29 if mean_img is not None:
30 mean_args = {'mean_img':mean_img}
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/image-classification/
H A Dscore.py25 def score(model, data_val, metrics, gpus, batch_size, rgb_mean=None, mean_img=None, argument
29 if mean_img is not None:
30 mean_args = {'mean_img':mean_img}
/dports/science/py-nilearn/nilearn-0.8.1/examples/02_decoding/
H A Dplot_haxby_frem.py45 from nilearn.image import mean_img
46 background_img = mean_img(func_filenames)
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/tests/python/unittest/
H A Dtest_io.py75 mean_img="data/cifar/cifar10_mean.bin",
101 mean_img="data/cifar/cifar10_mean.bin",
112 mean_img="data/cifar/cifar10_mean.bin",
505 mean_img="data/cifar/cifar10_mean.bin",
522 mean_img="data/cifar/cifar10_mean.bin",
543 mean_img="data/cifar/cifar10_mean.bin",
563 mean_img="data/cifar/cifar10_mean.bin",
571 mean_img="data/cifar/cifar10_mean.bin",
/dports/misc/mxnet/incubator-mxnet-1.9.0/tests/python/unittest/
H A Dtest_io.py75 mean_img="data/cifar/cifar10_mean.bin",
101 mean_img="data/cifar/cifar10_mean.bin",
112 mean_img="data/cifar/cifar10_mean.bin",
505 mean_img="data/cifar/cifar10_mean.bin",
522 mean_img="data/cifar/cifar10_mean.bin",
543 mean_img="data/cifar/cifar10_mean.bin",
563 mean_img="data/cifar/cifar10_mean.bin",
571 mean_img="data/cifar/cifar10_mean.bin",

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