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#include "ios_caffe.h"
#include "caffe2/core/tensor.h"
#include "caffe2/mobile/contrib/ios/ios_caffe_predictor.h"
#include "caffe2/predictor/predictor.h"
Caffe2IOSPredictor* MakeCaffe2Predictor(const std::string& init_net_str,
const std::string& predict_net_str,
bool disableMultithreadProcessing,
bool allowMetalOperators,
std::string& errorMessage) {
caffe2::NetDef init_net, predict_net;
init_net.ParseFromString(init_net_str);
predict_net.ParseFromString(predict_net_str);
Caffe2IOSPredictor* predictor = NULL;
try {
predictor = Caffe2IOSPredictor::NewCaffe2IOSPredictor(
init_net, predict_net, disableMultithreadProcessing, allowMetalOperators);
} catch (const std::exception& e) {
std::string error = e.what();
errorMessage.swap(error);
return NULL;
}
return predictor;
}
void GenerateStylizedImage(std::vector<float>& originalImage,
const std::string& init_net_str,
const std::string& predict_net_str,
int height,
int width,
std::vector<float>& dataOut) {
caffe2::NetDef init_net, predict_net;
init_net.ParseFromString(init_net_str);
predict_net.ParseFromString(predict_net_str);
caffe2::Predictor p(init_net, predict_net);
std::vector<int> dims({1, 3, height, width});
caffe2::Tensor input(caffe2::CPU);
input.Resize(dims);
input.ShareExternalPointer(originalImage.data());
caffe2::Predictor::TensorList input_vec;
input_vec.emplace_back(std::move(input));
caffe2::Predictor::TensorList output_vec;
p(input_vec, &output_vec);
assert(output_vec.size() == 1);
caffe2::TensorCPU* output = &output_vec.front();
// output is our styled image
float* outputArray = output->mutable_data<float>();
dataOut.assign(outputArray, outputArray + output->size());
}
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