hyperpose.Model.openpose.model package¶
Submodules¶
hyperpose.Model.openpose.model.lw_openpose module¶
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hyperpose.Model.openpose.model.lw_openpose.
conv_block
(n_filter, in_channels, filter_size=3, 3, strides=1, 1, dilation_rate=1, 1, W_init=tensorlayer.initializers.truncated_normal, b_init=tensorlayer.initializers.truncated_normal, padding='SAME', data_format='channels_first')¶
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hyperpose.Model.openpose.model.lw_openpose.
dw_conv_block
(n_filter, in_channels, filter_size=3, 3, strides=1, 1, dilation_rate=1, 1, W_init=tensorlayer.initializers.truncated_normal, b_init=tensorlayer.initializers.truncated_normal, data_format='channels_first')¶
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hyperpose.Model.openpose.model.lw_openpose.
nobn_dw_conv_block
(n_filter, in_channels, filter_size=3, 3, strides=1, 1, W_init=tensorlayer.initializers.truncated_normal, b_init=tensorlayer.initializers.truncated_normal, data_format='channels_first')¶
hyperpose.Model.openpose.model.mbv2_sm_openpose module¶
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hyperpose.Model.openpose.model.mbv2_sm_openpose.
conv_block
(n_filter=32, in_channels=3, filter_size=3, 3, strides=1, 1, act=tensorflow.nn.relu, padding='SAME', data_format='channels_first')¶
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hyperpose.Model.openpose.model.mbv2_sm_openpose.
separable_block
(n_filter=32, in_channels=3, filter_size=3, 3, strides=1, 1, act=tensorflow.nn.relu, padding='SAME', data_format='channels_first')¶
hyperpose.Model.openpose.model.mbv2_th_openpose module¶
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hyperpose.Model.openpose.model.mbv2_th_openpose.
conv_block
(n_filter=32, in_channels=3, filter_size=3, 3, strides=1, 1, act=tensorflow.nn.relu, padding='SAME', data_format='channels_first')¶
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hyperpose.Model.openpose.model.mbv2_th_openpose.
separable_block
(n_filter=32, in_channels=3, filter_size=3, 3, strides=1, 1, dilation_rate=1, 1, act=tensorflow.nn.relu, data_format='channels_first')¶