| 32 | return x |
| 33 | |
| 34 | class model(nn.Module): |
| 35 | def __init__(self, num_basis): |
| 36 | super(model, self).__init__() |
| 37 | self.pointnet = pointnet_encoder() |
| 38 | self.num_basis = num_basis |
| 39 | |
| 40 | # src point feature 2883 * N |
| 41 | self.conv11 = torch.nn.Conv1d(2883, 128, 1) |
| 42 | self.conv12 = torch.nn.Conv1d(128, 64, 1) |
| 43 | self.conv13 = torch.nn.Conv1d(64, 64, 1) |
| 44 | self.bn11 = nn.BatchNorm1d(128) |
| 45 | self.bn12 = nn.BatchNorm1d(64) |
| 46 | self.bn13 = nn.BatchNorm1d(64) |
| 47 | |
| 48 | # key point feature K (64 + 3 + 1) * N |
| 49 | self.conv21 = torch.nn.Conv1d(68, 64, 1) |
| 50 | self.conv22 = torch.nn.Conv1d(64, 64, 1) |
| 51 | self.bn21 = nn.BatchNorm1d(64) |
| 52 | self.bn22 = nn.BatchNorm1d(64) |
| 53 | |
| 54 | # basis feature K 64 |
| 55 | self.conv31 = torch.nn.Conv1d(64 + 3, 256, 1) |
| 56 | self.conv32 = torch.nn.Conv1d(256, 512, 1) |
| 57 | self.conv33 = torch.nn.Conv1d(512, self.num_basis * 3, 1) |
| 58 | self.bn31 = nn.BatchNorm1d(256) |
| 59 | self.bn32 = nn.BatchNorm1d(512) |
| 60 | |
| 61 | # key point feature with target K (2048 + 64 + 3) |
| 62 | self.conv41 = torch.nn.Conv1d(2048 + 64 + 3, 256, 1) |
| 63 | self.conv42 = torch.nn.Conv1d(256, 128, 1) |
| 64 | self.conv43 = torch.nn.Conv1d(128, 128, 1) |
| 65 | self.bn41 = nn.BatchNorm1d(256) |
| 66 | self.bn42 = nn.BatchNorm1d(128) |
| 67 | self.bn43 = nn.BatchNorm1d(128) |
| 68 | |
| 69 | # coef feature 15 (128 + 3 + 3) K |
| 70 | self.conv51 = torch.nn.Conv1d(128 + 3 + 3, 256, 1) |
| 71 | self.conv52 = torch.nn.Conv1d(256, 128, 1) |
| 72 | self.conv53 = torch.nn.Conv1d(128, 128, 1) |
| 73 | self.bn51 = nn.BatchNorm1d(256) |
| 74 | self.bn52 = nn.BatchNorm1d(128) |
| 75 | self.bn53 = nn.BatchNorm1d(128) |
| 76 | |
| 77 | # coef feature 15 128 |
| 78 | self.conv61 = torch.nn.Conv1d(128 + 2, 64, 1) |
| 79 | self.conv62 = torch.nn.Conv1d(64, 32, 1) |
| 80 | self.conv63 = torch.nn.Conv1d(32, 1, 1) |
| 81 | self.bn61 = nn.BatchNorm1d(64) |
| 82 | self.bn62 = nn.BatchNorm1d(32) |
| 83 | |
| 84 | self.conv71 = torch.nn.Conv1d(64 + 3 + 3, 32, 1) |
| 85 | self.conv72 = torch.nn.Conv1d(32, 16, 1) |
| 86 | self.conv73 = torch.nn.Conv1d(16, 2, 1) |
| 87 | self.bn71 = nn.BatchNorm1d(32) |
| 88 | self.bn72 = nn.BatchNorm1d(16) |
| 89 | |
| 90 | self.sigmoid = nn.Sigmoid() |
| 91 |
nothing calls this directly
no outgoing calls
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