Esempio n. 1
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    def __init__(self, cfg, size, num_classes, batch_norm=False):
        super(SSD_VGG, self).__init__()
        self.config = cfg
        self.num_classes = num_classes
        self.size = size
        self.enable_batchmorm = batch_norm

        base_layers, base_outs, base_feats = build_vgg_ssd_layers(
            BASE_NUM_OUTPUTS[size], BASE_OUTPUT_INDICES[size], batch_norm=batch_norm
        )
        extra_layers, extra_outs, extra_feats = build_vgg_ssd_extra(
            EXTRAS_NUM_OUTPUTS[size], EXTRA_OUTPUT_INDICES[size], batch_norm=batch_norm
        )
        self.basenet = MultiOutputSequential(base_outs, base_layers)
        self.extras = MultiOutputSequential(extra_outs, extra_layers)

        self.detection_head = SSDDetectionOutput(base_feats + extra_feats, num_classes, cfg)
        self.L2Norm = L2Norm(512, 20, 1e-10)
Esempio n. 2
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def extra_layers(start_input_channels):
    return MultiOutputSequential([1, 3, 5, 7], [
        conv_bn(start_input_channels, 256, 1, 1, 0),
        conv_bn(256, 512, 3, 2, 1),
        conv_bn(512, 128, 1, 1, 0),
        conv_bn(128, 256, 3, 2, 1),
        conv_bn(256, 128, 1, 1, 0),
        conv_bn(128, 256, 3, 2, 1),
        conv_bn(256, 64, 1, 1, 0),
        conv_bn(64, 128, 3, 2, 1)
    ])
Esempio n. 3
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def mobilenet(start_input_channels=3):
    model = MultiOutputSequential([11, 13], [
        conv_bn(start_input_channels, 32, 3, 2, 1),
        conv_dw(32, 64, 1),
        conv_dw(64, 128, 2),
        conv_dw(128, 128, 1),
        conv_dw(128, 256, 2),
        conv_dw(256, 256, 1),
        conv_dw(256, 512, 2),
        conv_dw(512, 512, 1),
        conv_dw(512, 512, 1),
        conv_dw(512, 512, 1),
        conv_dw(512, 512, 1),
        conv_dw(512, 512, 1),
        conv_dw(512, 1024, 2),
        conv_dw(1024, 1024, 1)
    ])
    return model