Segmentation#

References

segmentations.npz

import k3d
import numpy as np

data = np.load('segmentations.npz')

voxels_classic = (data['seg'] + data['GT'] * 2).astype(np.uint8)
bbox = [0, data['seg'].shape[2] * data['spacing'][0],
        0, data['seg'].shape[1] * data['spacing'][1],
        0, data['seg'].shape[0] * data['spacing'][2]]

plt_voxels = k3d.voxels(voxels_classic,
                        bounds=bbox,
                        color_map=(0xff7764, 0x3f71d8, 0x13c08d))

plt_tp_text = k3d.text2d('True Positive',
                         position=[0.01, 0.05],
                         reference_point='lc',
                         is_html=True,
                         color=0x3f71d8)

plt_fp_text = k3d.text2d('False Positive',
                         position=[0.01, 0.12],
                         is_html=True,
                         reference_point='lc',
                         color=0x13c08d)

plt_fn_text = k3d.text2d('False Negative',
                         position=[0.01, 0.19],
                         is_html=True,
                         reference_point='lc',
                         color=0xff7764)

plot = k3d.plot(grid_visible=False,
                camera_auto_fit=False)
plot += plt_voxels
plot += plt_tp_text
plot += plt_fp_text
plot += plt_fn_text
plot.display()

plot.camera = [197.8722, 74.5292, 122.9294,
               62.2292, 85.1011, 55.6868,
               -0.3889, 0.0614, 0.9192]
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K3D panel
Full screen
cameraAutoFit
gridAutoFit
gridVisible
fpsMeter
Mode
View
Camera
Trackball
FOV
voxelColor
lighting
opacity
outlines
outlines_color
visible
wireframe
color
is_html
label_box
size
text
visible
color
is_html
label_box
size
text
visible
color
is_html
label_box
size
text
visible
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