864bda5b11a8dfe58a617eb0a4cfdbdf537f7b98,keras_retinanet/models/resnet.py,,resnet_retinanet,#Any#Any#Any#,60

Before Change

        resnet = keras_resnet.models.ResNet152(inputs, include_top=False, freeze_bn=True)

    // create the full model
    model = retinanet.retinanet_bbox(inputs=inputs, num_classes=num_classes, backbone=resnet,
                                     backbone_layers=["res3d_relu", "res4f_relu", "res5c_relu"], **kwargs)

    return model

After Change

    // create the full model
    layer_names = ["res3d_relu", "res4f_relu", "res5c_relu"]
    layer_outputs = [resnet.get_layer(name).output for name in layer_names]
    model = retinanet.retinanet_bbox(inputs=inputs, num_classes=num_classes,
                                     backbone_layers=layer_outputs, **kwargs)

    return model

Instances