crnn module

class crnn.BidirectionalGRU(hidden_size, num_layers, nOut)[源代码]

基类：mxnet.gluon.block.HybridBlock

__init__(hidden_size, num_layers, nOut)[源代码]

Initialize self. See help(type(self)) for accurate signature.

hybrid_forward(F, x, *args, **kwargs)[源代码]

Overrides to construct symbolic graph for this Block.

x : Symbol or NDArray
The first input tensor.
*args : list of Symbol or list of NDArray
Additional input tensors.
class crnn.BidirectionalLSTM(hidden_size, num_layers, nOut)[源代码]

基类：mxnet.gluon.block.HybridBlock

__init__(hidden_size, num_layers, nOut)[源代码]

Initialize self. See help(type(self)) for accurate signature.

hybrid_forward(F, x, *args, **kwargs)[源代码]

Overrides to construct symbolic graph for this Block.

x : Symbol or NDArray
The first input tensor.
*args : list of Symbol or list of NDArray
Additional input tensors.
class crnn.CRNN(n_class, hidden_size=256, num_layers=1)[源代码]

基类：mxnet.gluon.block.HybridBlock

__init__(n_class, hidden_size=256, num_layers=1)[源代码]

Initialize self. See help(type(self)) for accurate signature.

hybrid_forward(F, x, *args, **kwargs)[源代码]

Overrides to construct symbolic graph for this Block.

x : Symbol or NDArray
The first input tensor.
*args : list of Symbol or list of NDArray
Additional input tensors.
class crnn.Decoder(n_class, hidden_size=256, num_layers=1)[源代码]

基类：mxnet.gluon.block.HybridBlock

__init__(n_class, hidden_size=256, num_layers=1)[源代码]

Initialize self. See help(type(self)) for accurate signature.

hybrid_forward(F, x, *args, **kwargs)[源代码]

Overrides to construct symbolic graph for this Block.

x : Symbol or NDArray
The first input tensor.
*args : list of Symbol or list of NDArray
Additional input tensors.
class crnn.DenseNet[源代码]

基类：mxnet.gluon.block.HybridBlock

__init__()[源代码]

Initialize self. See help(type(self)) for accurate signature.

hybrid_forward(F, x, *args, **kwargs)[源代码]

Overrides to construct symbolic graph for this Block.

x : Symbol or NDArray
The first input tensor.
*args : list of Symbol or list of NDArray
Additional input tensors.
class crnn.Encoder[源代码]

基类：mxnet.gluon.block.HybridBlock

__init__()[源代码]

Initialize self. See help(type(self)) for accurate signature.

hybrid_forward(F, x, *args, **kwargs)[源代码]

Overrides to construct symbolic graph for this Block.

x : Symbol or NDArray
The first input tensor.
*args : list of Symbol or list of NDArray
Additional input tensors.
class crnn.ResNet[源代码]

基类：mxnet.gluon.block.HybridBlock

__init__()[源代码]

Initialize self. See help(type(self)) for accurate signature.

hybrid_forward(F, x, *args, **kwargs)[源代码]

Overrides to construct symbolic graph for this Block.

x : Symbol or NDArray
The first input tensor.
*args : list of Symbol or list of NDArray
Additional input tensors.
class crnn.VGG[源代码]

基类：mxnet.gluon.block.HybridBlock

__init__()[源代码]

Initialize self. See help(type(self)) for accurate signature.

hybrid_forward(F, x, *args, **kwargs)[源代码]

Overrides to construct symbolic graph for this Block.

x : Symbol or NDArray
The first input tensor.
*args : list of Symbol or list of NDArray
Additional input tensors.