Implement a new layer data type.
Contrary to layerdata, this describes the layer itself rather than the layer contents.
This commit is contained in:
33
src/LayerInfo.cpp
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33
src/LayerInfo.cpp
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@@ -0,0 +1,33 @@
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#include "LayerInfo.hpp"
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using namespace std;
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using namespace fmri;
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LayerInfo::Type LayerInfo::typeByName(string_view name)
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{
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if (name == "Input") {
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return Type::Input;
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} else if (name == "Convolution") {
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return Type::Convolutional;
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} else if (name == "ReLU") {
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return Type::ReLU;
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} else if (name == "Pooling") {
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return Type::Pooling;
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} else {
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LOG(INFO) << "Received unknown layer type: " << name << endl;
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return Type::Other;
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}
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}
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LayerInfo::LayerInfo(string_view name, string_view type,
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const vector<boost::shared_ptr<caffe::Blob<DType>>> ¶meters)
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: parameters_(parameters), name_(name), type_(typeByName(type))
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{
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}
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const std::string &LayerInfo::name() const
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{
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return name_;
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}
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35
src/LayerInfo.hpp
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35
src/LayerInfo.hpp
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@@ -0,0 +1,35 @@
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#pragma once
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#include <string_view>
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#include <caffe/blob.hpp>
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#include <string>
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#include "utils.hpp"
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namespace fmri
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{
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class LayerInfo
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{
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public:
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enum class Type
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{
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Input,
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Convolutional,
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ReLU,
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Pooling,
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Output,
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Other
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};
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LayerInfo(std::string_view name, std::string_view type,
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const std::vector<boost::shared_ptr<caffe::Blob<DType>>> ¶meters);
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const std::string& name() const;
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static Type typeByName(std::string_view name);
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private:
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std::vector<boost::shared_ptr<caffe::Blob<DType>>> parameters_;
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Type type_;
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std::string name_;
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};
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}
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@@ -21,12 +21,18 @@ struct Simulator::Impl
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cv::Size input_geometry;
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optional<cv::Mat> means;
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unsigned int num_channels;
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map<string, LayerInfo> layerInfo_;
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Impl(const string& model_file, const string& weights_file, const string& means_file);
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vector<cv::Mat> getWrappedInputLayer();
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cv::Mat preprocess(cv::Mat original) const;
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vector<LayerData> simulate(const string &input_file);
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const map<string, LayerInfo>& layerInfo() const;
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void computeLayerInfo();
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void loadMeans(const string &means_file);
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};
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// Create simple forwarding functions.
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@@ -55,27 +61,33 @@ Simulator::Impl::Impl(const string& model_file, const string& weights_file, cons
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net.Reshape();
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if (!means_file.empty()) {
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// Read in the means file
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BlobProto proto;
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ReadProtoFromBinaryFileOrDie(means_file, &proto);
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loadMeans(means_file);
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}
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Blob<DType> mean_blob;
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mean_blob.FromProto(proto);
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computeLayerInfo();
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}
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CHECK_EQ(mean_blob.channels(), num_channels) << "Number of channels should match!" << endl;
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void Simulator::Impl::loadMeans(const string &means_file)
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{// Read in the means file
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BlobProto proto;
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ReadProtoFromBinaryFileOrDie(means_file, &proto);
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vector<cv::Mat> channels;
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float* data = mean_blob.mutable_cpu_data();
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for (unsigned int i = 0; i < num_channels; ++i) {
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Blob<DType> mean_blob;
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mean_blob.FromProto(proto);
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CHECK_EQ(mean_blob.channels(), num_channels) << "Number of channels should match!" << endl;
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vector<cv::Mat> channels;
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float* data = mean_blob.mutable_cpu_data();
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for (unsigned int i = 0; i < this->num_channels; ++i) {
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channels.emplace_back(mean_blob.height(), mean_blob.width(), CV_32FC1, data);
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data += mean_blob.height() * mean_blob.width();
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}
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cv::Mat mean;
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cv::merge(channels, mean);
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cv::Mat mean;
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merge(channels, mean);
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means = cv::Mat(input_geometry, mean.type(), cv::mean(mean));
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}
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this->means = cv::Mat(this->input_geometry, mean.type(), cv::mean(mean));
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}
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vector<LayerData> Simulator::Impl::simulate(const string& image_file)
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@@ -177,7 +189,28 @@ cv::Mat Simulator::Impl::preprocess(cv::Mat original) const
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}
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const map<string, LayerInfo> &Simulator::Impl::layerInfo() const
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{
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return layerInfo_;
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}
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void Simulator::Impl::computeLayerInfo()
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{
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const auto& names = net.layer_names();
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const auto& layers = net.layers();
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for (auto i = 0u; i < names.size() && i < layers.size(); ++i) {
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auto& layer = layers[i];
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layerInfo_.emplace(names[i], LayerInfo(names[i], layer->type(), layer->blobs()));
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}
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}
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Simulator::~Simulator()
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{
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// Empty but defined constructor.
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}
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const map<string, LayerInfo> & Simulator::layerInfo() const
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{
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return pImpl->layerInfo();
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}
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@@ -4,6 +4,7 @@
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#include <memory>
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#include <vector>
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#include "LayerData.hpp"
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#include "LayerInfo.hpp"
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namespace fmri {
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using std::string;
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@@ -15,6 +16,7 @@ namespace fmri {
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~Simulator();
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vector<LayerData> simulate(const string &input_file);
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const std::map<std::string, LayerInfo>& layerInfo() const;
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private:
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struct Impl;
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