14e8e5368575ec1817eed11204dfa2f84856cc08,dataset/models/tf/refinenet.py,RefineNet,default_config,#Any#,38

Before Change

        config = TFModel.default_config()

        filters = 64   // number of filters in the first block
        config["input_block"].update(dict(layout="cna cna", filters=filters, kernel_size=3,
                                          strides=1, pool_strides=1))
        config["body"]["encoder"] = dict(base_class=ResNet101)
        config["body"]["filters"] = [512, 256, 256, 256]
        config["body"]["upsample"] = dict(layout="b", factor=2)
        config["loss"] = "ce"

After Change

        config = TFModel.default_config()

        filters = 64   // number of filters in the first block
        config["initial_block"] = dict(layout="cna cna", filters=filters, kernel_size=3,
                                       strides=1, pool_strides=1)
        config["body"]["encoder"] = dict(base_class=ResNet101)
        config["body"]["filters"] = [512, 256, 256, 256]
        config["body"]["upsample"] = dict(layout="b", factor=2)
        config["loss"] = "ce"

Instances