ggj@ggj-All-Series:~/ggj/pro/end-to-end-for-chinese-plate-recognition-master$ python train.py here here2 [10:11:57] src/io/iter_image_recordio.cc:211: ImageRecordIOParser: /home/ggj/ggj/data/carplant/carplant.rec, use 3 threads for decoding.. [10:11:57] src/io/iter_image_recordio.cc:211: ImageRecordIOParser: /home/ggj/ggj/data/carplant/carplant.rec, use 3 threads for decoding.. get_iterator() finished [10:11:58] src/operator/./reshape-inl.h:249: Using target_shape will be deprecated. Traceback (most recent call last): File "train.py", line 111, in <module> train(); File "train.py", line 105, in train model.fit(X = data_train, eval_data = data_test, eval_metric = Accuracy, batch_end_callback=mx.callback.Speedometer(batch_size, 50)) File "/home/ggj/ggj/pro/mxnet/python/mxnet/model.py", line 745, in fit self._init_params(dict(data.provide_data+data.provide_label)) File "/home/ggj/ggj/pro/mxnet/python/mxnet/model.py", line 485, in _init_params arg_shapes, _, aux_shapes = self.symbol.infer_shape(**input_shapes) File "/home/ggj/ggj/pro/mxnet/python/mxnet/symbol.py", line 453, in infer_shape return self._infer_shape_impl(False, *args, **kwargs) File "/home/ggj/ggj/pro/mxnet/python/mxnet/symbol.py", line 513, in _infer_shape_impl ctypes.byref(complete))) File "/home/ggj/ggj/pro/mxnet/python/mxnet/base.py", line 77, in check_call raise MXNetError(py_str(_LIB.MXGetLastError())) mxnet.base.MXNetError: InferShape Error in softmax's label argument
