1 /* Copyright 2017 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 16 #ifndef TENSORFLOW_CONTRIB_LITE_EXAMPLES_LABEL_IMAGE_BITMAP_HELPERS_IMPL_H_ 17 #define TENSORFLOW_CONTRIB_LITE_EXAMPLES_LABEL_IMAGE_BITMAP_HELPERS_IMPL_H_ 18 19 #include "tensorflow/contrib/lite/builtin_op_data.h" 20 #include "tensorflow/contrib/lite/interpreter.h" 21 #include "tensorflow/contrib/lite/kernels/register.h" 22 #include "tensorflow/contrib/lite/string_util.h" 23 #include "tensorflow/contrib/lite/version.h" 24 25 #include "tensorflow/contrib/lite/builtin_op_data.h" 26 #include "tensorflow/contrib/lite/interpreter.h" 27 #include "tensorflow/contrib/lite/kernels/register.h" 28 #include "tensorflow/contrib/lite/string_util.h" 29 #include "tensorflow/contrib/lite/version.h" 30 31 #include "tensorflow/contrib/lite/examples/label_image/label_image.h" 32 33 namespace tflite { 34 namespace label_image { 35 36 template <class T> 37 void resize(T* out, uint8_t* in, int image_height, int image_width, 38 int image_channels, int wanted_height, int wanted_width, 39 int wanted_channels, Settings* s) { 40 int number_of_pixels = image_height * image_width * image_channels; 41 std::unique_ptr<Interpreter> interpreter(new Interpreter); 42 43 int base_index = 0; 44 45 // two inputs: input and new_sizes 46 interpreter->AddTensors(2, &base_index); 47 // one output 48 interpreter->AddTensors(1, &base_index); 49 // set input and output tensors 50 interpreter->SetInputs({0, 1}); 51 interpreter->SetOutputs({2}); 52 53 // set parameters of tensors 54 TfLiteQuantizationParams quant; 55 interpreter->SetTensorParametersReadWrite( 56 0, kTfLiteFloat32, "input", 57 {1, image_height, image_width, image_channels}, quant); 58 interpreter->SetTensorParametersReadWrite(1, kTfLiteInt32, "new_size", {2}, 59 quant); 60 interpreter->SetTensorParametersReadWrite( 61 2, kTfLiteFloat32, "output", 62 {1, wanted_height, wanted_width, wanted_channels}, quant); 63 64 ops::builtin::BuiltinOpResolver resolver; 65 TfLiteRegistration* resize_op = 66 resolver.FindOp(BuiltinOperator_RESIZE_BILINEAR); 67 auto* params = reinterpret_cast<TfLiteResizeBilinearParams*>( 68 malloc(sizeof(TfLiteResizeBilinearParams))); 69 params->align_corners = false; 70 interpreter->AddNodeWithParameters({0, 1}, {2}, nullptr, 0, params, resize_op, 71 nullptr); 72 73 interpreter->AllocateTensors(); 74 75 // fill input image 76 // in[] are integers, cannot do memcpy() directly 77 auto input = interpreter->typed_tensor<float>(0); 78 for (int i = 0; i < number_of_pixels; i++) { 79 input[i] = in[i]; 80 } 81 82 // fill new_sizes 83 interpreter->typed_tensor<int>(1)[0] = wanted_height; 84 interpreter->typed_tensor<int>(1)[1] = wanted_width; 85 86 interpreter->Invoke(); 87 88 auto output = interpreter->typed_tensor<float>(2); 89 auto output_number_of_pixels = 90 wanted_height * wanted_height * wanted_channels; 91 92 for (int i = 0; i < output_number_of_pixels; i++) { 93 if (s->input_floating) 94 out[i] = (output[i] - s->input_mean) / s->input_std; 95 else 96 out[i] = (uint8_t)output[i]; 97 } 98 } 99 100 } // namespace label_image 101 } // namespace tflite 102 103 #endif // TENSORFLOW_CONTRIB_LITE_EXAMPLES_LABEL_IMAGE_BITMAP_HELPERS_IMPL_H_ 104
