Python Brain.screenshot方法代码示例

# 需要导入模块: from surfer import Brain [as 别名]
# 或者: from surfer.Brain import screenshot [as 别名]
def test_image():
    """Test image saving
    """
    mlab.options.backend = 'auto'
    brain = Brain(*std_args, config_opts=small_brain)
    tmp_name = mktemp() + '.png'
    brain.save_image(tmp_name)
    brain.save_imageset(tmp_name, ['med', 'lat'], 'jpg')
    brain.save_montage(tmp_name, ['l', 'v', 'm'], orientation='v')
    brain.screenshot()

# 需要导入模块: from surfer import Brain [as 别名]
# 或者: from surfer.Brain import screenshot [as 别名]
def test_offscreen():
    """Test offscreen rendering."""
    if sys.platform == 'darwin' and os.getenv('TRAVIS', 'false') == 'true':
        raise SkipTest('Offscreen Travis tests fail on OSX')
    _set_backend()
    brain = Brain(*std_args, offscreen=True)
    # Sometimes the first screenshot is rendered with a different
    # resolution on OS X
    brain.screenshot()
    shot = brain.screenshot()
    assert_array_equal(shot.shape, (800, 800, 3))
    brain.close()

# 需要导入模块: from surfer import Brain [as 别名]
# 或者: from surfer.Brain import screenshot [as 别名]
def test_offscreen():
    """Test offscreen rendering
    """
    mlab.options.backend = 'auto'
    brain = Brain(*std_args, offscreen=True)
    shot = brain.screenshot()
    assert_array_equal(shot.shape, (800, 800, 3))

# 需要导入模块: from surfer import Brain [as 别名]
# 或者: from surfer.Brain import screenshot [as 别名]
def test_offscreen():
    """Test offscreen rendering."""
    _set_backend()
    brain = Brain(*std_args, offscreen=True)
    shot = brain.screenshot()
    assert_array_less((400, 400, 2), shot.shape)
    assert_array_less(shot.shape, (801, 801, 4))
    brain.close()

# 需要导入模块: from surfer import Brain [as 别名]
# 或者: from surfer.Brain import screenshot [as 别名]
def test_image():
    """Test image saving
    """
    tmp_name = mktemp() + '.png'

    mlab.options.backend = 'auto'
    subject_id, _, surf = std_args
    brain = Brain(subject_id, 'both', surf=surf, size=100)
    brain.add_overlay(overlay_fname, hemi='lh', min=5, max=20, sign="pos")
    brain.save_imageset(tmp_name, ['med', 'lat'], 'jpg')

    brain = Brain(*std_args, size=100)
    brain.save_image(tmp_name)
    brain.save_montage(tmp_name, ['l', 'v', 'm'], orientation='v')
    brain.save_montage(tmp_name, ['l', 'v', 'm'], orientation='h')
    brain.save_montage(tmp_name, [['l', 'v'], ['m', 'f']])
    brain.screenshot()
    brain.close()

# 需要导入模块: from surfer import Brain [as 别名]
# 或者: from surfer.Brain import screenshot [as 别名]
def curvature_normalization(data_dir, subj):
    """Normalize the curvature map and plot contour over fsaverage."""
    surf_dir = op.join(data_dir, subj, "surf")
    snap_dir = op.join(data_dir, subj, "snapshots")
    panels = []
    for hemi in ["lh", "rh"]:

        # Load the curv values and apply registration to fsaverage
        curv_fname = op.join(surf_dir, "{}.curv".format(hemi))
        curv_vals = nib.freesurfer.read_morph_data(curv_fname)
        subj_curv_vals = apply_surface_warp(data_dir, subj,
                                            hemi, curv_vals)
        subj_curv_binary = (subj_curv_vals > 0)

        # Load the template curvature
        norm_fname = op.join(data_dir, "fsaverage", "surf",
                             "{}.curv".format(hemi))
        norm_curv_vals = nib.freesurfer.read_morph_data(norm_fname)
        norm_curv_binary = (norm_curv_vals > 0)

        # Compute the curvature overlap image
        curv_overlap = np.zeros_like(norm_curv_binary, np.int)
        curv_overlap[norm_curv_binary & subj_curv_binary] = 1
        curv_overlap[norm_curv_binary ^ subj_curv_binary] = 2

        # Mask out the medial wall
        cortex_fname = op.join(data_dir, "fsaverage", "label",
                               "{}.cortex.label".format(hemi))
        cortex = nib.freesurfer.read_label(cortex_fname)
        medial_wall = ~np.in1d(np.arange(curv_overlap.size), cortex)
        curv_overlap[medial_wall] = 1

        # Plot the curvature overlap image
        try:
            b = Brain("fsaverage", hemi, "inflated", background="white")
        except TypeError:
            # PySurfer <= 0.5
            b = Brain("fsaverage", hemi, "inflated",
                      config_opts=dict(background="white"))

        b.add_data(curv_overlap, min=0, max=2,
                   colormap=[".9", ".45", "indianred"], colorbar=False)

        for view in ["lat", "med", "ven"]:
            b.show_view(view, distance="auto")
            panels.append(crop(b.screenshot()))
        b.close()

    # Make and save a figure
    f = multi_panel_brain_figure(panels)
    fname = op.join(snap_dir, "surface_registration.png")
    f.savefig(fname, bbox_inches="tight")
    plt.close(f)

# 需要导入模块: from surfer import Brain [as 别名]
# 或者: from surfer.Brain import screenshot [as 别名]
def contrast_loop(subj, contrasts, stat_temp, mask_temp, png_temp,
                  args, z_thresh, sign):
    """Iterate over contrasts and make surface images."""
    for contrast in contrasts:

        # Calculate where the overlay should saturate
        z_max = calculate_sat_point(stat_temp, contrast, sign, subj)
        panels = []
        for hemi in ["lh", "rh"]:

            # Initialize the brain object
            b_subj = subj if args.regspace == "epi" else "fsaverage"

            try:
                b = Brain(b_subj, hemi, args.geometry, background="white")
            except TypeError:
                # PySurfer <= v0.5
                b = Brain(b_subj, hemi, args.geometry,
                          config_opts={"background": "white"})

            # Plot the mask
            mask_file = mask_temp.format(contrast=contrast,
                                         hemi=hemi, subj=subj)
            add_mask_overlay(b, mask_file)

            # Plot the overlay
            stat_file = stat_temp.format(contrast=contrast,
                                         hemi=hemi, subj=subj)
            add_stat_overlay(b, stat_file, z_thresh, z_max, sign,
                             sig_to_z=args.regspace == "fsaverage")

            # Take screenshots
            for view in ["lat", "med", "ven"]:
                b.show_view(view, distance="auto")
                sleep(.1)
                panels.append(crop(b.screenshot()))
            b.close()

        # Make a single figure with all the panels
        f = multi_panel_brain_figure(panels)
        kwargs = {}
        if sign in ["pos", "abs"]:
            kwargs["pos_cmap"] = "Reds_r"
        if sign in ["neg", "abs"]:
            kwargs["neg_cmap"] = "Blues"
        add_colorbars(f, z_thresh, z_max, **kwargs)

        # Save the figure in both hemisphere outputs
        for hemi in ["lh", "rh"]:
            png_file = png_temp.format(hemi=hemi, contrast=contrast, subj=subj)
            f.savefig(png_file, bbox_inches="tight")
        plt.close(f)

# 需要导入模块: from surfer import Brain [as 别名]
# 或者: from surfer.Brain import screenshot [as 别名]
def test_image(tmpdir):
    """Test image saving."""
    tmp_name = tmpdir.join('temp.png')
    tmp_name = str(tmp_name)  # coerce to str to avoid PIL error

    _set_backend()
    subject_id, _, surf = std_args
    brain = Brain(subject_id, 'both', surf=surf, size=100)
    brain.add_overlay(overlay_fname, hemi='lh', min=5, max=20, sign="pos")
    brain.save_imageset(tmp_name, ['med', 'lat'], 'jpg')
    brain.close()

    brain = Brain(*std_args, size=100)
    brain.save_image(tmp_name)
    brain.save_image(tmp_name, 'rgba', True)
    brain.screenshot()
    if os.getenv('TRAVIS', '') != 'true':
        # for some reason these fail on Travis sometimes
        brain.save_montage(tmp_name, ['l', 'v', 'm'], orientation='v')
        brain.save_montage(tmp_name, ['l', 'v', 'm'], orientation='h')
        brain.save_montage(tmp_name, [['l', 'v'], ['m', 'f']])
    brain.close()

# 需要导入模块: from surfer import Brain [as 别名]
# 或者: from surfer.Brain import screenshot [as 别名]
def surface_images(out_dir, subj):
    """Plot the white, pial, and inflated surfaces to look for defects."""
    for surf in ["white", "pial", "inflated"]:
        panels = []
        for hemi in ["lh", "rh"]:

            try:
                b = Brain(subj, hemi, surf, curv=False, background="white")
            except TypeError:
                # PySurfer <= 0.5
                b = Brain(subj, hemi, surf, curv=False,
                          config_opts=dict(background="white"))

            for view in ["lat", "med", "ven"]:
                b.show_view(view, distance="auto")
                panels.append(crop(b.screenshot()))
            b.close()

        # Make and save a figure
        f = multi_panel_brain_figure(panels)
        fname = op.join(out_dir, "{}_surface.png".format(surf))
        f.savefig(fname, bbox_inches="tight")
        plt.close(f)