<jupyter_start><jupyter_text>![SegmentLocal](texture_single_pose_MV.gif "segment")<jupyter_code>canvas_opt, *_ = get_body_image_from_mesh(model.cur_mesh, body_estimation, renderer)

fig = plt.figure(figsize=(30, 10))
ax = fig.add_subplot(1, 3, 1)
ax.imshow(canvas_orig)
ax.set_title("Start Pose")

ax = fig.add_subplot(1, 3, 2)
ax.imshow(canvas_opt)
ax.set_title("optmized result")

ax = fig.add_subplot(1, 3, 3)
ax.imshow(canvas_target)
ax.set_title("Target")<jupyter_output>Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).
Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).
Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).
StarcoderdataJupyterStructuredCleanDedup