Cannot copy param 0 weights from layer 'fc6'; shape mismatch.
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问题:
Cannot copy param 0 weights from layer ‘fc6’; shape mismatch. Source param shape is 4096 9216 (37748736); target param shape is 4096 2304 (9437184). To learn this layer’s parameters from scratch rather than copying from a saved net, rename the layer.
表示训练好的模型的参数(model文件)和协议中该层的参数不匹配(prototxt文件)。
源文件为model 文件,目标文件为 prototxt
发生的情况:在我们进行网络微调时,同样的网络结构,但是输入图片的大小不一样,就会在网络的第一个全连接层出现问题。就像提示的那样,如果想从头开始训练该层网络,那么对其进行重新命名。就会因网络权重的拷贝过程中,提示不匹配的问题。
利用Caffe 网络结构可视化可视化工具:
http://ethereon.github.io/netscope/#/editor
为了方便数据形状的可视化,我们在数据层添加transform_param…crop_size,那么可视化工具会计算推测各个输出的数据的形状,也很方便的参看权重的形状,虽然HDF5Data层没有transform_param参数:
layer { name: "data" type: "HDF5Data" top: "data" top: "label" include { phase: TRAIN } hdf5_data_param { source: "hdf5_file/train/train_list.txt" batch_size: 42 } transform_param { crop_size: 128 }}
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