update strong pointnet++
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@@ -33,6 +33,30 @@ ClsMSG_CFG_Light = {
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'DP_RATIO': 0.5,
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}
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ClsMSG_CFG_Light_2048 = {
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'NPOINTS': [512, 256, 128, None],
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'RADIUS': [[0.02, 0.04], [0.04, 0.08], [0.08, 0.16], [None, None]],
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'NSAMPLE': [[16, 32], [16, 32], [16, 32], [None, None]],
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'MLPS': [[[16, 16, 32], [32, 32, 64]],
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[[64, 64, 128], [64, 96, 128]],
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[[128, 196, 256], [128, 196, 256]],
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[[256, 256, 1024], [256, 512, 1024]]],
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'DP_RATIO': 0.5,
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}
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ClsMSG_CFG_Strong = {
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'NPOINTS': [512, 256, 128, 64, None],
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'RADIUS': [[0.02, 0.04], [0.04, 0.08], [0.08, 0.16],[0.16, 0.32], [None, None]],
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'NSAMPLE': [[16, 32], [16, 32], [16, 32], [16, 32], [None, None]],
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'MLPS': [[[16, 16, 32], [32, 32, 64]],
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[[64, 64, 128], [64, 96, 128]],
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[[128, 196, 256], [128, 196, 256]],
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[[256, 256, 512], [256, 512, 512]],
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[[512, 512, 2048], [512, 1024, 2048]]
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],
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'DP_RATIO': 0.5,
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}
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ClsMSG_CFG_Lighter = {
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'NPOINTS': [512, 256, 128, 64, None],
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'RADIUS': [[0.01], [0.02], [0.04], [0.08], [None]],
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@@ -53,6 +77,10 @@ def select_params(name):
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return ClsMSG_CFG_Lighter
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elif name == 'dense':
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return ClsMSG_CFG_Dense
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elif name == 'light_2048':
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return ClsMSG_CFG_Light_2048
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elif name == 'strong':
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return ClsMSG_CFG_Strong
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else:
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raise NotImplementedError
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@@ -114,8 +142,8 @@ if __name__ == '__main__':
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seed = 100
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torch.manual_seed(seed)
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torch.cuda.manual_seed(seed)
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net = PointNet2Encoder(config={"in_dim": 3, "params_name": "light"}).cuda()
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pts = torch.randn(2, 1024, 3).cuda()
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net = PointNet2Encoder(config={"in_dim": 3, "params_name": "strong"}).cuda()
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pts = torch.randn(2, 2444, 3).cuda()
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print(torch.mean(pts, dim=1))
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pre = net.encode_points(pts)
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print(pre.shape)
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