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| author | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2022-05-06 09:13:03 +0100 |
|---|---|---|
| committer | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2022-05-06 17:11:41 +0100 |
| commit | aa4bcb14d0cbee910331545dd2fc086b58c37170 (patch) | |
| tree | e67a43a43f61c6f8b6aad19018b0827baf7e31a6 /tests/use_case/object_detection/InferenceTestYoloFastest.cc | |
| parent | fcca863bafd5f33522bc14c23dde4540e264ec94 (diff) | |
| download | ml-embedded-evaluation-kit-aa4bcb14d0cbee910331545dd2fc086b58c37170.tar.gz | |
MLECO-3183: Refactoring application sources
Platform agnostic application sources are moved into application
api module with their own independent CMake projects.
Changes for MLECO-3080 also included - they create CMake projects
individial API's (again, platform agnostic) that dependent on the
common logic. The API for KWS_API "joint" API has been removed and
now the use case relies on individual KWS, and ASR API libraries.
Change-Id: I1f7748dc767abb3904634a04e0991b74ac7b756d
Signed-off-by: Kshitij Sisodia <kshitij.sisodia@arm.com>
Diffstat (limited to 'tests/use_case/object_detection/InferenceTestYoloFastest.cc')
| -rw-r--r-- | tests/use_case/object_detection/InferenceTestYoloFastest.cc | 19 |
1 files changed, 17 insertions, 2 deletions
diff --git a/tests/use_case/object_detection/InferenceTestYoloFastest.cc b/tests/use_case/object_detection/InferenceTestYoloFastest.cc index 2c035e7..1b4d1dd 100644 --- a/tests/use_case/object_detection/InferenceTestYoloFastest.cc +++ b/tests/use_case/object_detection/InferenceTestYoloFastest.cc @@ -22,6 +22,15 @@ #include "InputFiles.hpp" #include "UseCaseCommonUtils.hpp" +namespace arm { + namespace app { + static uint8_t tensorArena[ACTIVATION_BUF_SZ] ACTIVATION_BUF_ATTRIBUTE; + } /* namespace app */ +} /* namespace arm */ + +extern uint8_t* GetModelPointer(); +extern size_t GetModelLen(); + #include <catch.hpp> void GetExpectedResults(std::vector<std::vector<arm::app::object_detection::DetectionResult>> &expected_results) @@ -122,7 +131,10 @@ TEST_CASE("Running inference with TensorFlow Lite Micro and YoloFastest", "[Yolo arm::app::YoloFastestModel model{}; REQUIRE_FALSE(model.IsInited()); - REQUIRE(model.Init()); + REQUIRE(model.Init(arm::app::tensorArena, + sizeof(arm::app::tensorArena), + GetModelPointer(), + GetModelLen())); REQUIRE(model.IsInited()); for (uint32_t i = 0 ; i < NUMBER_OF_FILES; ++i) { @@ -136,7 +148,10 @@ TEST_CASE("Running inference with TensorFlow Lite Micro and YoloFastest", "[Yolo arm::app::YoloFastestModel model{}; REQUIRE_FALSE(model.IsInited()); - REQUIRE(model.Init()); + REQUIRE(model.Init(arm::app::tensorArena, + sizeof(arm::app::tensorArena), + GetModelPointer(), + GetModelLen())); REQUIRE(model.IsInited()); TestInferenceDetectionResults<uint8_t>(i, model, 1); |