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authorGravatar Pete Warden <petewarden@google.com>2017-07-10 14:58:04 -0700
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2017-07-10 15:01:56 -0700
commit0344d9c9cf2f15f64eaabf72a102acd759541850 (patch)
treea40a092ca55f0c2b4f810c6fa2f5e78f3c0f4191 /tensorflow/examples/label_image
parent8b53854ea5e4b7ebeec4a8636580f54424cb1952 (diff)
Added Mobilenet support to TensorFlow tooling
PiperOrigin-RevId: 161445783
Diffstat (limited to 'tensorflow/examples/label_image')
-rw-r--r--tensorflow/examples/label_image/main.cc15
1 files changed, 7 insertions, 8 deletions
diff --git a/tensorflow/examples/label_image/main.cc b/tensorflow/examples/label_image/main.cc
index a98c0817e3..63bc39de6c 100644
--- a/tensorflow/examples/label_image/main.cc
+++ b/tensorflow/examples/label_image/main.cc
@@ -89,7 +89,6 @@ Status ReadLabelsFile(const string& file_name, std::vector<string>* result,
static Status ReadEntireFile(tensorflow::Env* env, const string& filename,
Tensor* output) {
-
tensorflow::uint64 file_size = 0;
TF_RETURN_IF_ERROR(env->GetFileSize(filename, &file_size));
@@ -124,15 +123,15 @@ Status ReadTensorFromImageFile(const string& file_name, const int input_height,
// read file_name into a tensor named input
Tensor input(tensorflow::DT_STRING, tensorflow::TensorShape());
- TF_RETURN_IF_ERROR(ReadEntireFile(tensorflow::Env::Default(), file_name,
- &input));
+ TF_RETURN_IF_ERROR(
+ ReadEntireFile(tensorflow::Env::Default(), file_name, &input));
// use a placeholder to read input data
- auto file_reader = Placeholder(root.WithOpName("input"),
- tensorflow::DataType::DT_STRING);
+ auto file_reader =
+ Placeholder(root.WithOpName("input"), tensorflow::DataType::DT_STRING);
std::vector<std::pair<string, tensorflow::Tensor>> inputs = {
- {"input", input},
+ {"input", input},
};
// Now try to figure out what kind of file it is and decode it.
@@ -285,8 +284,8 @@ int main(int argc, char* argv[]) {
"tensorflow/examples/label_image/data/imagenet_slim_labels.txt";
int32 input_width = 299;
int32 input_height = 299;
- int32 input_mean = 0;
- int32 input_std = 255;
+ float input_mean = 0;
+ float input_std = 255;
string input_layer = "input";
string output_layer = "InceptionV3/Predictions/Reshape_1";
bool self_test = false;