如何为 yolo darknet cfg 文件提供两个输入？

Question

我已经为yolov2 tiny开发了一个rgbd模型..所以它需要两个输入rgb和深度..分别提取特征并稍后加入层..在使用[route]时我无法获得两个输入

x = Conv2D(16, (3,3), strides=(1,1), padding='same', name='conv_1', use_bias=False)(input_image)
            self.convLayers+=1
            x = BatchNormalization(name='norm_1')(x)
            x = LeakyReLU(alpha=0.1)(x)
            Depthx = MaxPooling2D(pool_size=(2, 2))(x)

            x = Conv2D(16, (3,3), strides=(1,1), padding='same', name='conv_2', use_bias=False)(input_image)
            self.convLayers+=1
            x = BatchNormalization(name='norm_1')(x)
            x = LeakyReLU(alpha=0.1)(x)
            Rgbx = MaxPooling2D(pool_size=(2, 2))(x)


            # Fuse Layer
            x = concatenate([Depthx, Rgbx])
            x=Conv2D(16, (1,1), strides=(1,1), padding='same', name='conv_3', use_bias=False)(x)
            self.convLayers+=1
            x = BatchNormalization(name='norm_1')(x)
            x = LeakyReLU(alpha=0.1)(x)
            x = MaxPooling2D(pool_size=(2, 2))(x)

我需要为此模型编写一个配置文件...欢迎任何有关配置文件编写的知识 提前致谢