Comments (3)
If you don't want to download the zip
the code can be found here:
import json
import meshlib.mrmeshpy as mrmesh
import meshlib.mrmeshnumpy as mrmeshnumpy
import numpy as np
import trimesh
# tool link: https://www.youtube.com/watch?v=klJhdY0RYb0
def load_mesh_from_json(path):
with open(path, "r") as f:
data = json.load(f)
mesh = trimesh.Trimesh(vertices=data["points"], faces=data["faces"])
face_labels = np.array(data["faceLabels"]).astype(int)
point_labels = np.array(data["pointLabels"]).astype(int)
return mesh,face_labels,point_labels
def visualize_mesh_with_face_labels(mesh, face_labels):
# Ensure numpy and trimesh are imported
np.random.seed(0) # Keep colors consistent
# Create a unique color for each label
unique_labels = np.unique(face_labels)
color_map = np.random.rand(len(unique_labels), 3)
# Create a map from label to color
label_to_color = {label: color_map[i] for i, label in enumerate(unique_labels)}
# Assign colors to faces based on their labels
face_colors = np.array([label_to_color[label] for label in face_labels])
# Update mesh with the new colors
mesh.visual.face_colors = (face_colors * 255).astype(np.uint8)
# Show the mesh
mesh.show()
mesh, face_labels, point_labels = load_mesh_from_json("crown_mesh.json")
visualize_mesh_with_face_labels(mesh, face_labels)
mesh_labels = np.unique(face_labels[face_labels!=0])
mr_mesh = mrmeshnumpy.meshFromFacesVerts(mesh.faces, mesh.vertices)
new_face_labels_dict = {}
for i in mesh_labels:
# example meshlib docs:
# source = mrmesh.FaceBitSet()
# sink = mrmesh.FaceBitSet()
# # For mesh segmentation, one has to specify source and sink faces for it.
# source.resize(mesh.topology.getValidFaces().size(),False)
# sink.resize(mesh.topology.getValidFaces().size(),False)
# source.set(mrmesh.FaceId(0),True)
# sink.set(mrmesh.FaceId(23),True)
crown_faces = (face_labels==i)
print(i, " ", np.sum(crown_faces))
metric = mrmesh.edgeCurvMetric(mr_mesh)
# metric = mrmesh.edgeLengthMetric(mr_mesh)
source = mrmeshnumpy.faceBitSetFromBools(crown_faces)
sink = mrmeshnumpy.faceBitSetFromBools(~crown_faces)
res = mrmesh.segmentByGraphCut(mr_mesh.topology,source,sink,metric)
face_bitset = res
new_face_labels = mrmeshnumpy.getNumpyBitSet(res)
print("new_face_labels length: ", np.sum(new_face_labels))
new_face_labels_dict[i] = new_face_labels
# mr_mesh.pack()
# mrmesh.saveMesh(mr_mesh, mrmesh.Path("mesh_segmented.stl"))
new_face_labels = np.zeros_like(face_labels)
for i in new_face_labels_dict:
print(i, " ", np.sum(new_face_labels_dict[i]))
new_face_labels[new_face_labels_dict[i]] = i
visualize_mesh_with_face_labels(mesh, new_face_labels)
from meshlib.
Hello!
source = mrmeshnumpy.faceBitSetFromBools(crown_faces)
sink = mrmeshnumpy.faceBitSetFromBools(~crown_faces)
If I got it correctly source + sink
here covers all faces of the mesh, that's why segmentByGraphCut
does not change anything. Its purpose is to find best boundary between source and sink (source and sink can only be expanded, so user input does not change labels) but in this example there is no free space to determine new boundary.
I suggest you such patch
source = mrmeshnumpy.faceBitSetFromBools(crown_faces)
sink = mrmeshnumpy.faceBitSetFromBools(~crown_faces)
+ mrmesh.shrink(mr_mesh.topology,source,3) # allow 3 faces lines free space (inside crown_faces) for boundary clarification
+ mrmesh.shrink(mr_mesh.topology,sink,3) # allow 3 faces lines free space (inside non crown_faces) for boundary clarification
from meshlib.
Thanks works as expected now!
from meshlib.
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from meshlib.