MLECO-929 Add Object Detection sample application using the public ArmNN C++ API

Change-Id: I14aa1b4b726212cffbefd6687203f93f936fa872
Signed-off-by: Éanna Ó Catháin <eanna.ocathain@arm.com>
diff --git a/samples/ObjectDetection/test/ImageUtilsTest.cpp b/samples/ObjectDetection/test/ImageUtilsTest.cpp
new file mode 100644
index 0000000..e486ae1
--- /dev/null
+++ b/samples/ObjectDetection/test/ImageUtilsTest.cpp
@@ -0,0 +1,128 @@
+//
+// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+#include <catch.hpp>
+#include <opencv2/opencv.hpp>
+#include "ImageUtils.hpp"
+#include "Types.hpp"
+
+std::vector<std::tuple<int, int>> GetBoundingBoxPoints(std::vector<od::DetectedObject>& decodedResults,
+                                                       cv::Mat imageMat)
+{
+    std::vector<std::tuple<int, int>> bboxes;
+    for(const od::DetectedObject& object : decodedResults)
+    {
+        const od::BoundingBox& bbox = object.GetBoundingBox();
+
+        if (bbox.GetX() + bbox.GetWidth() > imageMat.cols)
+        {
+            for (int y = bbox.GetY(); y < bbox.GetY() + bbox.GetHeight(); ++y)
+            {
+                bboxes.emplace_back(std::tuple<int, int>{bbox.GetX(), y});
+            }
+
+            for (int x = bbox.GetX(); x < imageMat.cols; ++x)
+            {
+                bboxes.emplace_back(std::tuple<int, int>{x, bbox.GetY() + bbox.GetHeight() - 1});
+            }
+
+            for (int y = bbox.GetY(); y < bbox.GetY() + bbox.GetHeight(); ++y)
+            {
+                bboxes.emplace_back(std::tuple<int, int>{imageMat.cols - 1, y});
+            }
+        }
+        else if (bbox.GetY() + bbox.GetHeight() > imageMat.rows)
+        {
+            for (int y = bbox.GetY(); y < imageMat.rows; ++y)
+            {
+                bboxes.emplace_back(std::tuple<int, int>{bbox.GetX(), y});
+            }
+
+            for (int x = bbox.GetX(); x < bbox.GetX() + bbox.GetWidth(); ++x)
+            {
+                bboxes.emplace_back(std::tuple<int, int>{x, imageMat.rows - 1});
+            }
+
+            for (int y = bbox.GetY(); y < imageMat.rows; ++y)
+            {
+                bboxes.emplace_back(std::tuple<int, int>{bbox.GetX() + bbox.GetWidth() - 1, y});
+            }
+        }
+        else
+        {
+            for (int y = bbox.GetY(); y < bbox.GetY() + bbox.GetHeight(); ++y)
+            {
+                bboxes.emplace_back(std::tuple<int, int>{bbox.GetX(), y});
+            }
+
+            for (int x = bbox.GetX(); x < bbox.GetX() + bbox.GetWidth(); ++x)
+            {
+                bboxes.emplace_back(std::tuple<int, int>{x, bbox.GetY() + bbox.GetHeight() - 1});
+            }
+
+            for (int y = bbox.GetY(); y < bbox.GetY() + bbox.GetHeight(); ++y)
+            {
+                bboxes.emplace_back(std::tuple<int, int>{bbox.GetX() + bbox.GetWidth() - 1, y});
+            }
+        }
+    }
+    return bboxes;
+}
+
+static std::string GetResourceFilePath(std::string filename)
+{
+    std::string testResources = TEST_RESOURCE_DIR;
+    if (0 == testResources.size())
+    {
+        throw "Invalid test resources directory provided";
+    }
+    else
+    {
+        if(testResources.back() != '/')
+        {
+            return testResources + "/" + filename;
+        }
+        else
+        {
+            return testResources + filename;
+        }
+    }
+}
+
+TEST_CASE("Test Adding Inference output to frame")
+{
+    //todo: re-write test to use static detections
+
+    std::string testResources = TEST_RESOURCE_DIR;
+    REQUIRE(testResources != "");
+    std::vector<std::tuple<std::string, od::BBoxColor>> labels;
+
+    od::BBoxColor c
+    {
+        .colorCode = std::make_tuple (0, 0, 255)
+    };
+
+    auto bboxInfo = std::make_tuple ("person", c);
+    od::BoundingBox bbox(10, 10, 50, 50);
+    od::DetectedObject detection(0, "person", bbox, 0.75);
+
+    labels.push_back(bboxInfo);
+
+    od::DetectedObjects detections;
+    cv::Mat frame = cv::imread(GetResourceFilePath("basketball1.png"), cv::IMREAD_COLOR);
+    detections.push_back(detection);
+
+    AddInferenceOutputToFrame(detections, frame, labels);
+
+    std::vector<std::tuple<int, int>> bboxes = GetBoundingBoxPoints(detections, frame);
+
+    // Check that every point is the expected color
+    for(std::tuple<int, int> tuple : bboxes)
+    {
+        cv::Point p(std::get<0>(tuple), std::get<1>(tuple));
+        CHECK(static_cast<int>(frame.at<cv::Vec3b>(p)[0]) == 0);
+        CHECK(static_cast<int>(frame.at<cv::Vec3b>(p)[1]) == 0);
+        CHECK(static_cast<int>(frame.at<cv::Vec3b>(p)[2]) == 255);
+    }
+}