temp fix for reading whole sequence of posed

data/cloth3d_io.py

@@ -245,11 +245,16 @@ def read_posed_garment_frame(folder, id, garment, frame, map=None, mask=None, sh
 
 # can i cache map?
 # NOT WORKING WELL
-def read_posed_garment(folder, id, garment, mask=None, shape=None, shapedirs=None, poses=None, unshape=False, deorient=False):
-    body_posed = readPC2(os.path.join(folder, id, 'Body_posed.pc16'), True)['V']
-    offsets = readPC2(os.path.join(folder, id, garment + '_offsets_dynamic.pc16'), True)['V']
-    verts = (body_posed + offsets) * mask[:, None]
-
+def read_posed_garment(folder, id, garment, map=None, mask=None, shape=None, shapedirs=None, poses=None, unshape=False, deorient=False):
+    # body_posed = readPC2(os.path.join(folder, id, 'Body_posed.pc16'), True)['V']
+    # offsets = readPC2(os.path.join(folder, id, garment + '_offsets_dynamic.pc16'), True)['V']
+    # verts = (body_posed + offsets) * mask[:, None]
+    pc16_path = os.path.join(folder, id, garment + '.pc16')
+    info = loadInfo(os.path.join(folder, id, 'info.mat'))
+    verts = np.stack([readPC2Frame(pc16_path, frame, True) for frame in range(info['poses'].shape[1])])
+    if map is None:
+        map = sio.loadmat(os.path.join(folder, id, garment + '_map.mat'))['map'].reshape((-1))
+    verts = verts[:, map, :]
 
     if unshape:
         shape_offsets = np.tensordot(shape, shapedirs, axes=[[1], [2]])
@@ -313,6 +318,81 @@ def read_curvatures(h5file, id, frames, neighbourhood=None):
         curvatures_all.append(curv)
     return np.array(curvatures_all)
 
+
+
+
+import sys
+sys.path.append(os.path.dirname(os.path.abspath(__file__)) + '/..')
+
+import plotly.graph_objects as go
+from custom_utils.custom_utils import _maskFaces
+
+def plot_3d(mesh, faces):
+    fig = go.Figure()
+
+
+    fig.add_trace(go.Mesh3d(
+                # 8 vertices of a cube
+                x=mesh[:,0],
+                y=mesh[:,1],
+                z=mesh[:,2],
+                # i, j and k give the vertices of triangles
+                i = faces[:,0],
+                j = faces[:,1],
+                k = faces[:,2]
+            ))
+    
+
+
+    fig.update_layout(scene_aspectmode='manual', scene_aspectratio=dict(x=1, y=1, z=1),)
+    helper = dict(xaxis = dict(nticks=4, range=[-1,1],),
+                yaxis = dict(nticks=4, range=[-1,1],),
+                zaxis = dict(nticks=4, range=[-1,1],),)
+    fig.update_layout(scene = helper)
+
+    return fig
+
+
+if __name__ == '__main__':
+
+    folder = '/home/workspace/data/dataset/cloth3d/train'
+    F = np.load("custom_utils/smpl_faces.npy")#.astype(np.int32)
+
+    frames = []
+    with open(os.path.join(folder, 'frames_all.txt'), 'r') as f:
+        lines = f.readlines()
+        lines = [line.strip() for line in lines]
+    frames = lines
+
+    for frame in frames:
+        id = frame.split()[0]
+        frame_nr = int(frame.split()[1])
+        garment = frame.split()[2]
+
+        mask = read_garment_mask(folder, id, garment)
+        _, faces = _maskFaces(np.zeros((14475, 3), dtype=np.float32), F, mask)
+        mesh_1 = read_posed_garment(folder, id, garment, mask=mask, unshape=False, deorient=False)[0][mask, :]
+        mesh_2 = read_posed_garment_frame(folder, id, garment, 0, mask=mask, unshape=False, deorient=False)[mask, :]
+
+        plot_3d(mesh_1, faces).show()
+        plot_3d(mesh_2, faces).show()
+
+        pass
+
+    pass
+
+
+
+
+
+
+
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+
+
 # import os
 # import sys
 # import numpy as np