diff --git a/mediapipe/tasks/cc/vision/object_detector/object_detector_test.cc b/mediapipe/tasks/cc/vision/object_detector/object_detector_test.cc index 1b0dcf2fb..cb37bbead 100644 --- a/mediapipe/tasks/cc/vision/object_detector/object_detector_test.cc +++ b/mediapipe/tasks/cc/vision/object_detector/object_detector_test.cc @@ -108,31 +108,31 @@ std::vector GenerateMobileSsdNoImageResizingFullExpectedResults() { return {ParseTextProtoOrDie(R"pb( label: "cat" - score: 0.6328125 + score: 0.6210937 location_data { format: BOUNDING_BOX - bounding_box { xmin: 14 ymin: 197 width: 98 height: 99 } + bounding_box { xmin: 15 ymin: 197 width: 98 height: 99 } })pb"), ParseTextProtoOrDie(R"pb( label: "cat" - score: 0.59765625 + score: 0.609375 location_data { format: BOUNDING_BOX - bounding_box { xmin: 151 ymin: 78 width: 104 height: 223 } + bounding_box { xmin: 150 ymin: 78 width: 104 height: 223 } })pb"), ParseTextProtoOrDie(R"pb( label: "cat" score: 0.5 location_data { format: BOUNDING_BOX - bounding_box { xmin: 65 ymin: 199 width: 41 height: 101 } + bounding_box { xmin: 64 ymin: 199 width: 42 height: 101 } })pb"), ParseTextProtoOrDie(R"pb( label: "dog" - score: 0.48828125 + score: 0.5 location_data { format: BOUNDING_BOX - bounding_box { xmin: 12 ymin: 110 width: 153 height: 193 } + bounding_box { xmin: 14 ymin: 110 width: 153 height: 193 } })pb")}; } @@ -268,7 +268,7 @@ TEST_F(CreateFromOptionsTest, FailsWithIllegalCallbackInImageOrVideoMode) { options->running_mode = running_mode; options->result_callback = [](absl::StatusOr detections, const Image& image, - int64 timestamp_ms) {}; + int64_t timestamp_ms) {}; absl::StatusOr> object_detector = ObjectDetector::Create(std::move(options)); EXPECT_EQ(object_detector.status().code(), @@ -381,28 +381,28 @@ TEST_F(ImageModeTest, Succeeds) { score: 0.69921875 location_data { format: BOUNDING_BOX - bounding_box { xmin: 608 ymin: 161 width: 381 height: 439 } + bounding_box { xmin: 608 ymin: 164 width: 381 height: 432 } })pb"), ParseTextProtoOrDie(R"pb( label: "cat" - score: 0.64453125 + score: 0.65625 location_data { format: BOUNDING_BOX - bounding_box { xmin: 60 ymin: 398 width: 386 height: 196 } + bounding_box { xmin: 57 ymin: 398 width: 386 height: 196 } })pb"), ParseTextProtoOrDie(R"pb( label: "cat" score: 0.51171875 location_data { format: BOUNDING_BOX - bounding_box { xmin: 256 ymin: 395 width: 173 height: 202 } + bounding_box { xmin: 256 ymin: 394 width: 173 height: 202 } })pb"), ParseTextProtoOrDie(R"pb( label: "cat" score: 0.48828125 location_data { format: BOUNDING_BOX - bounding_box { xmin: 362 ymin: 191 width: 325 height: 419 } + bounding_box { xmin: 360 ymin: 195 width: 330 height: 412 } })pb")})); } @@ -484,10 +484,10 @@ TEST_F(ImageModeTest, SucceedsWithScoreCalibration) { results, ConvertToDetectionResult({ParseTextProtoOrDie(R"pb( label: "cat" - score: 0.6531269142 + score: 0.650467276 location_data { format: BOUNDING_BOX - bounding_box { xmin: 14 ymin: 197 width: 98 height: 99 } + bounding_box { xmin: 15 ymin: 197 width: 98 height: 99 } })pb")})); } @@ -507,9 +507,9 @@ TEST_F(ImageModeTest, SucceedsWithScoreThresholdOption) { GenerateMobileSsdNoImageResizingFullExpectedResults(); ExpectApproximatelyEqual( - results, ConvertToDetectionResult({full_expected_results[0], - full_expected_results[1], - full_expected_results[2]})); + results, ConvertToDetectionResult( + {full_expected_results[0], full_expected_results[1], + full_expected_results[2], full_expected_results[3]})); } TEST_F(ImageModeTest, SucceedsWithMaxResultsOption) { @@ -685,7 +685,7 @@ TEST_F(LiveStreamModeTest, FailsWithCallingWrongMethod) { JoinPath("./", kTestDataDirectory, kMobileSsdWithMetadata); options->running_mode = core::RunningMode::LIVE_STREAM; options->result_callback = [](absl::StatusOr detections, - const Image& image, int64 timestamp_ms) {}; + const Image& image, int64_t timestamp_ms) {}; MP_ASSERT_OK_AND_ASSIGN(std::unique_ptr object_detector, ObjectDetector::Create(std::move(options))); @@ -716,7 +716,7 @@ TEST_F(LiveStreamModeTest, FailsWithOutOfOrderInputTimestamps) { options->base_options.model_asset_path = JoinPath("./", kTestDataDirectory, kMobileSsdWithMetadata); options->result_callback = [](absl::StatusOr detections, - const Image& image, int64 timestamp_ms) {}; + const Image& image, int64_t timestamp_ms) {}; MP_ASSERT_OK_AND_ASSIGN(std::unique_ptr object_detector, ObjectDetector::Create(std::move(options))); MP_ASSERT_OK(object_detector->DetectAsync(image, 1)); @@ -742,13 +742,13 @@ TEST_F(LiveStreamModeTest, Succeeds) { options->running_mode = core::RunningMode::LIVE_STREAM; std::vector detection_results; std::vector> image_sizes; - std::vector timestamps; + std::vector timestamps; options->base_options.model_asset_path = JoinPath("./", kTestDataDirectory, kMobileSsdWithMetadata); options->result_callback = [&detection_results, &image_sizes, ×tamps]( absl::StatusOr detections, const Image& image, - int64 timestamp_ms) { + int64_t timestamp_ms) { MP_ASSERT_OK(detections.status()); detection_results.push_back(std::move(detections).value()); image_sizes.push_back({image.width(), image.height()}); @@ -775,7 +775,7 @@ TEST_F(LiveStreamModeTest, Succeeds) { EXPECT_EQ(image_size.first, image.width()); EXPECT_EQ(image_size.second, image.height()); } - int64 timestamp_ms = -1; + int64_t timestamp_ms = -1; for (const auto& timestamp : timestamps) { EXPECT_GT(timestamp, timestamp_ms); timestamp_ms = timestamp; diff --git a/mediapipe/tasks/python/test/vision/object_detector_test.py b/mediapipe/tasks/python/test/vision/object_detector_test.py index 5afa31459..2bb9b0214 100644 --- a/mediapipe/tasks/python/test/vision/object_detector_test.py +++ b/mediapipe/tasks/python/test/vision/object_detector_test.py @@ -42,48 +42,62 @@ _RUNNING_MODE = running_mode_module.VisionTaskRunningMode _MODEL_FILE = 'coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.tflite' _IMAGE_FILE = 'cats_and_dogs.jpg' -_EXPECTED_DETECTION_RESULT = _DetectionResult(detections=[ - _Detection( - bounding_box=_BoundingBox( - origin_x=608, origin_y=161, width=381, height=439), - categories=[ - _Category( - index=None, - score=0.69921875, - display_name=None, - category_name='cat') - ]), - _Detection( - bounding_box=_BoundingBox( - origin_x=60, origin_y=398, width=386, height=196), - categories=[ - _Category( - index=None, - score=0.64453125, - display_name=None, - category_name='cat') - ]), - _Detection( - bounding_box=_BoundingBox( - origin_x=256, origin_y=395, width=173, height=202), - categories=[ - _Category( - index=None, - score=0.51171875, - display_name=None, - category_name='cat') - ]), - _Detection( - bounding_box=_BoundingBox( - origin_x=362, origin_y=191, width=325, height=419), - categories=[ - _Category( - index=None, - score=0.48828125, - display_name=None, - category_name='cat') - ]) -]) +_EXPECTED_DETECTION_RESULT = _DetectionResult( + detections=[ + _Detection( + bounding_box=_BoundingBox( + origin_x=608, origin_y=161, width=381, height=439 + ), + categories=[ + _Category( + index=None, + score=0.69921875, + display_name=None, + category_name='cat', + ) + ], + ), + _Detection( + bounding_box=_BoundingBox( + origin_x=60, origin_y=398, width=386, height=196 + ), + categories=[ + _Category( + index=None, + score=0.64453125, + display_name=None, + category_name='cat', + ) + ], + ), + _Detection( + bounding_box=_BoundingBox( + origin_x=256, origin_y=395, width=173, height=202 + ), + categories=[ + _Category( + index=None, + score=0.51171875, + display_name=None, + category_name='cat', + ) + ], + ), + _Detection( + bounding_box=_BoundingBox( + origin_x=362, origin_y=191, width=325, height=419 + ), + categories=[ + _Category( + index=None, + score=0.48828125, + display_name=None, + category_name='cat', + ) + ], + ), + ] +) _ALLOW_LIST = ['cat', 'dog'] _DENY_LIST = ['cat'] _SCORE_THRESHOLD = 0.3