diff options
| author | Richard Burton <richard.burton@arm.com> | 2021-11-10 16:27:14 +0000 |
|---|---|---|
| committer | Richard <richard.burton@arm.com> | 2021-11-10 16:34:16 +0000 |
| commit | 005534664e192cf909a11435c4bc4696b1f4c51f (patch) | |
| tree | f8314bd284561e1f0ff68fc393ee22d0318ae162 /tests/use_case/img_class | |
| parent | dee53bc7769d6201ec27deea4405c0df6c9b0623 (diff) | |
| download | ml-embedded-evaluation-kit-005534664e192cf909a11435c4bc4696b1f4c51f.tar.gz | |
MLECO-2354 MLECO-2355 MLECO-2356: Moving noise reduction to public repository
* Use RNNoise model from PMZ
* Add Noise reduction use-case
Signed-off-by: Richard burton <richard.burton@arm.com>
Change-Id: Ia8cc7ef102e22a5ff8bfbd3833594a4905a66057
Diffstat (limited to 'tests/use_case/img_class')
| -rw-r--r-- | tests/use_case/img_class/InferenceTestMobilenetV2.cc | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/tests/use_case/img_class/InferenceTestMobilenetV2.cc b/tests/use_case/img_class/InferenceTestMobilenetV2.cc index bb89c99..07bd78f 100644 --- a/tests/use_case/img_class/InferenceTestMobilenetV2.cc +++ b/tests/use_case/img_class/InferenceTestMobilenetV2.cc @@ -29,9 +29,9 @@ bool RunInference(arm::app::Model& model, const int8_t imageData[]) TfLiteTensor* inputTensor = model.GetInputTensor(0); REQUIRE(inputTensor); - const size_t copySz = inputTensor->bytes < IFM_DATA_SIZE ? + const size_t copySz = inputTensor->bytes < IFM_0_DATA_SIZE ? inputTensor->bytes : - IFM_DATA_SIZE; + IFM_0_DATA_SIZE; memcpy(inputTensor->data.data, imageData, copySz); if(model.IsDataSigned()){ @@ -51,7 +51,7 @@ void TestInference(int imageIdx, arm::app::Model& model, T tolerance) { TfLiteTensor* outputTensor = model.GetOutputTensor(0); REQUIRE(outputTensor); - REQUIRE(outputTensor->bytes == OFM_DATA_SIZE); + REQUIRE(outputTensor->bytes == OFM_0_DATA_SIZE); auto tensorData = tflite::GetTensorData<T>(outputTensor); REQUIRE(tensorData); @@ -71,12 +71,12 @@ TEST_CASE("Running inference with TensorFlow Lite Micro and MobileNeV2 Uint8", " REQUIRE(model.Init()); REQUIRE(model.IsInited()); - for (uint32_t i = 0 ; i < NUMBER_OF_FM_FILES; ++i) { + for (uint32_t i = 0 ; i < NUMBER_OF_IFM_FILES; ++i) { TestInference<uint8_t>(i, model, 1); } } - for (uint32_t i = 0 ; i < NUMBER_OF_FM_FILES; ++i) { + for (uint32_t i = 0 ; i < NUMBER_OF_IFM_FILES; ++i) { DYNAMIC_SECTION("Executing inference with re-init") { arm::app::MobileNetModel model{}; |