Caffe
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Provides data to the Net from windows of images files, specified by a window data file. This layer is DEPRECATED and only kept for archival purposes for use by the original R-CNN. More...
#include <window_data_layer.hpp>
Public Member Functions | |
WindowDataLayer (const LayerParameter ¶m) | |
virtual void | DataLayerSetUp (const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top) |
virtual const char * | type () const |
Returns the layer type. | |
virtual int | ExactNumBottomBlobs () const |
Returns the exact number of bottom blobs required by the layer, or -1 if no exact number is required. More... | |
virtual int | ExactNumTopBlobs () const |
Returns the exact number of top blobs required by the layer, or -1 if no exact number is required. More... | |
Public Member Functions inherited from caffe::BasePrefetchingDataLayer< Dtype > | |
BasePrefetchingDataLayer (const LayerParameter ¶m) | |
void | LayerSetUp (const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top) |
Does layer-specific setup: your layer should implement this function as well as Reshape. More... | |
virtual void | Forward_cpu (const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top) |
Using the CPU device, compute the layer output. | |
virtual void | Forward_gpu (const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top) |
Using the GPU device, compute the layer output. Fall back to Forward_cpu() if unavailable. | |
Public Member Functions inherited from caffe::BaseDataLayer< Dtype > | |
BaseDataLayer (const LayerParameter ¶m) | |
virtual void | Reshape (const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top) |
Adjust the shapes of top blobs and internal buffers to accommodate the shapes of the bottom blobs. More... | |
virtual void | Backward_cpu (const vector< Blob< Dtype > *> &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > *> &bottom) |
Using the CPU device, compute the gradients for any parameters and for the bottom blobs if propagate_down is true. | |
virtual void | Backward_gpu (const vector< Blob< Dtype > *> &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > *> &bottom) |
Using the GPU device, compute the gradients for any parameters and for the bottom blobs if propagate_down is true. Fall back to Backward_cpu() if unavailable. | |
Public Member Functions inherited from caffe::Layer< Dtype > | |
Layer (const LayerParameter ¶m) | |
void | SetUp (const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top) |
Implements common layer setup functionality. More... | |
Dtype | Forward (const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top) |
Given the bottom blobs, compute the top blobs and the loss. More... | |
void | Backward (const vector< Blob< Dtype > *> &top, const vector< bool > &propagate_down, const vector< Blob< Dtype > *> &bottom) |
Given the top blob error gradients, compute the bottom blob error gradients. More... | |
vector< shared_ptr< Blob< Dtype > > > & | blobs () |
Returns the vector of learnable parameter blobs. | |
const LayerParameter & | layer_param () const |
Returns the layer parameter. | |
virtual void | ToProto (LayerParameter *param, bool write_diff=false) |
Writes the layer parameter to a protocol buffer. | |
Dtype | loss (const int top_index) const |
Returns the scalar loss associated with a top blob at a given index. | |
void | set_loss (const int top_index, const Dtype value) |
Sets the loss associated with a top blob at a given index. | |
virtual int | MinBottomBlobs () const |
Returns the minimum number of bottom blobs required by the layer, or -1 if no minimum number is required. More... | |
virtual int | MaxBottomBlobs () const |
Returns the maximum number of bottom blobs required by the layer, or -1 if no maximum number is required. More... | |
virtual int | MinTopBlobs () const |
Returns the minimum number of top blobs required by the layer, or -1 if no minimum number is required. More... | |
virtual int | MaxTopBlobs () const |
Returns the maximum number of top blobs required by the layer, or -1 if no maximum number is required. More... | |
virtual bool | EqualNumBottomTopBlobs () const |
Returns true if the layer requires an equal number of bottom and top blobs. More... | |
virtual bool | AutoTopBlobs () const |
Return whether "anonymous" top blobs are created automatically by the layer. More... | |
virtual bool | AllowForceBackward (const int bottom_index) const |
Return whether to allow force_backward for a given bottom blob index. More... | |
bool | param_propagate_down (const int param_id) |
Specifies whether the layer should compute gradients w.r.t. a parameter at a particular index given by param_id. More... | |
void | set_param_propagate_down (const int param_id, const bool value) |
Sets whether the layer should compute gradients w.r.t. a parameter at a particular index given by param_id. | |
Public Member Functions inherited from caffe::InternalThread | |
void | StartInternalThread () |
void | StopInternalThread () |
bool | is_started () const |
Protected Types | |
enum | WindowField { IMAGE_INDEX, LABEL, OVERLAP, X1, Y1, X2, Y2, NUM } |
Protected Member Functions | |
virtual unsigned int | PrefetchRand () |
virtual void | load_batch (Batch< Dtype > *batch) |
Protected Member Functions inherited from caffe::BasePrefetchingDataLayer< Dtype > | |
virtual void | InternalThreadEntry () |
Protected Member Functions inherited from caffe::Layer< Dtype > | |
virtual void | CheckBlobCounts (const vector< Blob< Dtype > *> &bottom, const vector< Blob< Dtype > *> &top) |
void | SetLossWeights (const vector< Blob< Dtype > *> &top) |
Protected Member Functions inherited from caffe::InternalThread | |
bool | must_stop () |
Protected Attributes | |
shared_ptr< Caffe::RNG > | prefetch_rng_ |
vector< std::pair< std::string, vector< int > > > | image_database_ |
vector< vector< float > > | fg_windows_ |
vector< vector< float > > | bg_windows_ |
Blob< Dtype > | data_mean_ |
vector< Dtype > | mean_values_ |
bool | has_mean_file_ |
bool | has_mean_values_ |
bool | cache_images_ |
vector< std::pair< std::string, Datum > > | image_database_cache_ |
Protected Attributes inherited from caffe::BasePrefetchingDataLayer< Dtype > | |
vector< shared_ptr< Batch< Dtype > > > | prefetch_ |
BlockingQueue< Batch< Dtype > * > | prefetch_free_ |
BlockingQueue< Batch< Dtype > * > | prefetch_full_ |
Batch< Dtype > * | prefetch_current_ |
Blob< Dtype > | transformed_data_ |
Protected Attributes inherited from caffe::BaseDataLayer< Dtype > | |
TransformationParameter | transform_param_ |
shared_ptr< DataTransformer< Dtype > > | data_transformer_ |
bool | output_labels_ |
Protected Attributes inherited from caffe::Layer< Dtype > | |
LayerParameter | layer_param_ |
Phase | phase_ |
vector< shared_ptr< Blob< Dtype > > > | blobs_ |
vector< bool > | param_propagate_down_ |
vector< Dtype > | loss_ |
Provides data to the Net from windows of images files, specified by a window data file. This layer is DEPRECATED and only kept for archival purposes for use by the original R-CNN.
TODO(dox): thorough documentation for Forward and proto params.
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inlinevirtual |
Returns the exact number of bottom blobs required by the layer, or -1 if no exact number is required.
This method should be overridden to return a non-negative value if your layer expects some exact number of bottom blobs.
Reimplemented from caffe::Layer< Dtype >.
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inlinevirtual |
Returns the exact number of top blobs required by the layer, or -1 if no exact number is required.
This method should be overridden to return a non-negative value if your layer expects some exact number of top blobs.
Reimplemented from caffe::Layer< Dtype >.