Definition at line 7 of file deep_sort_net.py.
def jsk_recognition_utils.chainermodels.deep_sort_net.BlockA.__init__ |
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self, |
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in_size, |
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out_size, |
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stride = 1 , |
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activation = F.elu , |
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is_first = False , |
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pad = 1 , |
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projection_pad = 0 , |
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flag = False |
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) |
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def jsk_recognition_utils.chainermodels.deep_sort_net.BlockA.__call__ |
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self, |
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x |
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) |
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jsk_recognition_utils.chainermodels.deep_sort_net.BlockA.activation |
jsk_recognition_utils.chainermodels.deep_sort_net.BlockA.bn0 |
jsk_recognition_utils.chainermodels.deep_sort_net.BlockA.bn1 |
jsk_recognition_utils.chainermodels.deep_sort_net.BlockA.conv1 |
jsk_recognition_utils.chainermodels.deep_sort_net.BlockA.conv2 |
jsk_recognition_utils.chainermodels.deep_sort_net.BlockA.flag |
jsk_recognition_utils.chainermodels.deep_sort_net.BlockA.in_size |
jsk_recognition_utils.chainermodels.deep_sort_net.BlockA.is_first |
jsk_recognition_utils.chainermodels.deep_sort_net.BlockA.out_size |
jsk_recognition_utils.chainermodels.deep_sort_net.BlockA.projection |
The documentation for this class was generated from the following file: