| // |
| // 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, common::BBoxColor>> labels; |
| |
| common::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); |
| } |
| } |