MLECO-2082: Adding visual wake word use case
MLECO-2083: Refactoring img_class and visual wake word
*Added source files for visual wake word
*Added tests
*Added docs
*Added new images for visual wake word demo
*Refactored common functions in img_class, visual wake word and other usecases
Change-Id: Ibd25854e19a5517f940a8d3086a5d4835fab89e9
Signed-off-by: Éanna Ó Catháin <eanna.ocathain@arm.com>
diff --git a/tests/use_case/vww/InferenceVisualWakeWordModelTests.cc b/tests/use_case/vww/InferenceVisualWakeWordModelTests.cc
new file mode 100644
index 0000000..c109a62
--- /dev/null
+++ b/tests/use_case/vww/InferenceVisualWakeWordModelTests.cc
@@ -0,0 +1,81 @@
+/*
+ * Copyright (c) 2021 Arm Limited. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include <catch.hpp>
+#include <random>
+#include "hal.h"
+#include "InputFiles.hpp"
+#include "ImageUtils.hpp"
+#include "TestData_vww.hpp"
+#include "VisualWakeWordModel.hpp"
+#include "TensorFlowLiteMicro.hpp"
+
+
+bool RunInference(arm::app::Model& model, const int8_t* imageData)
+{
+ TfLiteTensor* inputTensor = model.GetInputTensor(0);
+ REQUIRE(inputTensor);
+
+ return model.RunInference();
+}
+
+template<typename T>
+void TestInference(int imageIdx,arm::app::Model& model) {
+
+ auto image = test::get_ifm_data_array(imageIdx);
+ auto goldenFV = test::get_ofm_data_array(imageIdx);
+
+ REQUIRE(RunInference(model, image));
+
+ TfLiteTensor* outputTensor = model.GetOutputTensor(0);
+
+ REQUIRE(outputTensor);
+ REQUIRE(outputTensor->bytes == OFM_DATA_SIZE);
+ auto tensorData = tflite::GetTensorData<T>(outputTensor);
+ REQUIRE(tensorData);
+
+ for (size_t i = 0; i < outputTensor->bytes; i++) {
+ auto testVal = static_cast<int>(tensorData[i]);
+ auto goldenVal = static_cast<int>(goldenFV[i]);
+ CHECK(testVal == goldenVal);
+ }
+}
+
+
+/**
+ * @brief Given an image name, get its index
+ * @param[in] imageName Name of the image expected
+ * @return index of the image if valid and (-1) if not found
+ */
+static int _GetImageIdx(std::string &imageName)
+{
+ int imgIdx = -1;
+ for (uint32_t i = 0 ; i < NUMBER_OF_FILES; ++i) {
+ if (imageName == std::string(get_filename(i))) {
+ info("Image %s exists at index %u\n", get_filename(i), i);
+ imgIdx = static_cast<int>(i);
+ break;
+ }
+ }
+
+ if (-1 == imgIdx) {
+ warn("Image %s not found!\n", imageName.c_str());
+ }
+
+ return imgIdx;
+}
+