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我训练使用来自Caffe神经网络模型：如何通过CLI在Caffe中生成预测标签？
/home/f/caffe-master/build/tools/caffe train -solver=/media/my_solver.prototxt
我再入一球上验证组学习模式：
/home/f/caffe-master/build/tools/caffe test -model=/media/my_train_test.prototxt
-weights model.caffemodel -iterations 100
但如何通过在训练的神经网络模型预测的标签咖啡？
我知道我可以使用Python或Matlab绑定用于该目的，但我很好奇，想知道我们是否可以直接通过命令行界面获得来自Caffe预测标签。
它似乎并不在official Caffe's tutorial on interfaces被提及，看着caffe的帮助没有帮助：
> [email protected]:~/caffe/caffe-master/build/tools$ ./caffe
caffe: command line brew
usage: caffe <command> <args>
commands:
train train or finetune a model
test score a model
device_query show GPU diagnostic information
time benchmark model execution time
Flags from /home/f/caffe-master/tools/caffe.cpp:
-gpu (Run in GPU mode on given device ID.) type: int32 default: -1
-iterations (The number of iterations to run.) type: int32 default: 50
-model (The model definition protocol buffer text file..) type: string
default: ""
-snapshot (Optional; the snapshot solver state to resume training.)
type: string default: ""
-solver (The solver definition protocol buffer text file.) type: string
default: ""
-weights (Optional; the pretrained weights to initialize finetuning. Cannot
be set simultaneously with snapshot.) type: string default: ""