hyperpose.Model.openpose.model package

Submodules

hyperpose.Model.openpose.model.lw_openpose module

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')
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')
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

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')
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

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')
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')

hyperpose.Model.openpose.model.openpose module

Module contents