Comments (3)
I use the code test_time.py
from efficient-deep-learning-for-point-clouds.
I don't know where is "test_time.py", if you mentioned test_runtime.py. It depends on what gpu you used. If you used something like Nvidia 1080, there is no speedup, because the network is quite light-compute, tthe GPU resource is good enough for both baseline and our new method. If you want to see the difference, change the code to make the batch_size to be a big number, like 16, you will see the speedup. Our method targets on mobile devices like TX2. If you test on those devices, you will see the significant speedup.
from efficient-deep-learning-for-point-clouds.
from efficient-deep-learning-for-point-clouds.
Related Issues (11)
- imgs
- pointnet2 seg has no training instructions. HOT 1
- refactor the code so that limited-DA doesn't require re-training
- f-pointnet:a big gap between test in my environment and the your screenshot,can you help me find the problem? HOT 12
- the question about the paper in IV-A HOT 4
- Low training accuracy with pointnet2 HOT 3
- DGCNN cls has no training instructions HOT 1
- DGCNN seg has no training instructions HOT 1
- fpointnet has no training and evaluation instructions for limited DA. HOT 1
- fpointnet has no screenshot for limited DA. the screenshot contains too many meaningless details. HOT 3
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from efficient-deep-learning-for-point-clouds.