pyramid ready for cape
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+10
-1
@@ -23,10 +23,19 @@ from losses.losses import _nearest_neighbour
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# F = np.load("smpl/smpl_faces.npy")
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to_keep = sio.loadmat('smpl/keep_remove.mat')['keep'].reshape(-1)
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F_fix_coll = torch.tensor(np.tile(np.load("smpl/smpl_faces.npy")[to_keep,:][None,:,:], [4,1,1]), device='cuda')
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smpl_to_keep_orig_post = sio.loadmat('smpl/keep_remove.mat')['keep'].reshape(-1)
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smpl_to_keep_orig_post = smpl_to_keep_orig_post[smpl_to_keep_orig_post < 6890]
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F_fix_coll_orig = torch.tensor(np.tile(np.load("smpl/smpl_faces_orig.npy")[:6890,:][None,:,:], [4,1,1]), device='cuda')[:,smpl_to_keep_orig_post,:]
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def fix_collision(V: torch.Tensor, B: torch.Tensor, mask: torch.Tensor, thr=.004):
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mesh = Meshes(B, F_fix_coll)
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if V.shape[1] == 14475:
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F_fix_coll_local = F_fix_coll
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elif V.shape[1] == 3638:
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F_fix_coll_local = F_fix_coll_orig
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else:
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raise ValueError("V must have 14475 or 3638 vertices")
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mesh = Meshes(B, F_fix_coll_local)
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B_vn = torch.stack(mesh.verts_normals_list())
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# compute correspondences
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