generate borders

data/registration_weights.py

@@ -30,7 +30,7 @@ from data.cloth3d_io import (
 from smpl.smpl_torch import SMPL
 # from custom_utils.custom_utils import _maskFaces
 
-device = 'cuda'
+device = 'cpu'
 smpl = SMPL(device, 'smpl')
 
 
@@ -429,9 +429,81 @@ def register(folder, frame):
 
     pass
 
+
+def get_boundaries(folder, frame):
+    from pymeshfix import MeshFix
+    from scipy.spatial import KDTree
+
+    id, frame_nr, garment = frame.split()
+    frame_nr = int(frame_nr)
+    registered_cloth = np.load('temp/registered_cloth.npy')
+    registered_faces = np.load('temp/registered_faces.npy')
+    registred_weights = np.load('temp/registered_weights.npy')
+    _, faces, _, _ = readOBJ(os.path.join(folder, id, garment + '.obj'))
+    faces = quads2tris(faces)
+    template = np.load('temp/mapping_cloth.npy')
+
+    registered_meshfix = MeshFix(registered_cloth, registered_faces)
+    registered_holes = registered_meshfix.extract_holes()
+
+    template_meshfix = MeshFix(template, faces)
+    template_holes = template_meshfix.extract_holes()
+    template_border = []
+    for border in np.array(template_holes.points):
+        # find the index of the vertex in the original mesh
+        ind = np.argwhere(np.all(template == border, axis=1))
+        template_border.extend(ind.ravel())
+
+    template_border_tree = KDTree(template[template_border])
+
+    registered_border = []
+    for border in np.array(registered_holes.points):
+        q = template_border_tree.query(border)
+        if q[0] > 0.02:
+            continue
+        # find the index of the vertex in the original mesh
+        ind = np.argwhere(np.all(registered_cloth == border, axis=1))
+        registered_border.extend(ind.ravel())
+
+    np.save('temp/registered_border.npy', registered_border)
+    np.save('temp/template_border.npy', template_border)
+    
+    # plot registered cloth and tempalte as scatterplots and add another two scatter plots for the two boundary sets
+    fig = go.Figure(data=[
+        go.Scatter3d(
+            x=registered_cloth[:,0], y=registered_cloth[:,1], z=registered_cloth[:,2],
+            mode='markers', marker=dict(size=2, color='red')),
+        go.Scatter3d(
+            x=registered_cloth[registered_border,0], y=registered_cloth[registered_border,1], z=registered_cloth[registered_border,2],
+            mode='markers', marker=dict(size=4, color='green')),
+    ])
+    fig.update_layout(scene = dict(
+        xaxis = dict(range=[-1,1],),
+        yaxis = dict(range=[-1,1],),
+        zaxis = dict(range=[-1,1],),),)
+    fig.update_layout(scene_aspectmode='cube')
+    fig.show()
+
+    fig = go.Figure(data=[
+        go.Scatter3d(
+            x=template[:,0], y=template[:,1], z=template[:,2],
+            mode='markers', marker=dict(size=2, color='blue')),
+        go.Scatter3d(
+            x=template[template_border,0], y=template[template_border,1], z=template[template_border,2],
+            mode='markers', marker=dict(size=4, color='green')),
+    ])
+    fig.update_layout(scene = dict(
+        xaxis = dict(range=[-1,1],),
+        yaxis = dict(range=[-1,1],),
+        zaxis = dict(range=[-1,1],),),)
+    fig.update_layout(scene_aspectmode='cube')
+    fig.show()
+
+    pass
+
 if __name__ == "__main__":
-    folder = '/data-net/code/cloth3d/train'
-    # folder = r'D:\Work\code\cloth3d\train'
+    # folder = '/data-net/code/cloth3d/train'
+    folder = r'D:\Work\code\cloth3d\train'
     # frames = [f'00761_{i}' for i in range(300)]
     # folder = r'Z:\Work\Huni\Barcelona\Dataset\cloth3d\train'
     frames = get_frames(folder, 'frames_all.txt')
@@ -456,6 +528,7 @@ if __name__ == "__main__":
         frame = '05060 1 Jumpsuit'
         
 
-        register(folder, frame)
+        # register(folder, frame)
+        get_boundaries(folder, frame)
         break
         pass