Segmentation#
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]
K3D panel
Controls
Full screen
cameraAutoFit
gridAutoFit
gridVisible
fpsMeter
Mode
Camera
Manipulate mode
FOV
voxelColor
lighting
time
fps
Clipping planes
Objects
Voxels #1
opacity
outlines
outlines_color
visible
wireframe
Text2d #1
color
is_html
label_box
size
text
visible
Text2d #2
color
is_html
label_box
size
text
visible
Text2d #3
color
is_html
label_box
size
text
visible
Info
Js version: