[ITC][media-vision-dl][NonACR] Removed legacy testcases 54/317554/1
authorshobhitv <shobhit.v@samsung.com>
Wed, 11 Sep 2024 13:25:33 +0000 (18:55 +0530)
committershobhitv <shobhit.v@samsung.com>
Wed, 11 Sep 2024 13:25:33 +0000 (18:55 +0530)
Change-Id: I890c40dcf50c2277c30127c1c836b953fe6d5997
Signed-off-by: shobhitv <shobhit.v@samsung.com>
src/itc/media-vision-dl/CMakeLists.txt
src/itc/media-vision-dl/ITs-media-vision-inference.c [deleted file]
src/itc/media-vision-dl/tct-media-vision-dl-native_mobile.h
src/itc/media-vision-dl/tct-media-vision-dl-native_tizeniot.h
src/itc/media-vision-dl/tct-media-vision-dl-native_tv.h
src/itc/media-vision-dl/tct-media-vision-dl-native_wearable.h

index 6d212fd3a32318c790e149316634756c6894b362..314620ffb2cf4c22e59092e02c17eb53dc96f95f 100644 (file)
@@ -7,7 +7,6 @@ SET(CAPI_LIB "capi-media-vision")
 
 SET(TC_SOURCES
     ITs-media-vision-common.c
-    ITs-media-vision-inference.c
 )
 
 IF( DEFINED TIZENIOT || DEFINED MOBILE || DEFINED WEARABLE)
diff --git a/src/itc/media-vision-dl/ITs-media-vision-inference.c b/src/itc/media-vision-dl/ITs-media-vision-inference.c
deleted file mode 100644 (file)
index a8b644f..0000000
+++ /dev/null
@@ -1,1359 +0,0 @@
-//
-// Copyright (c) 2019 Samsung Electronics Co., Ltd.
-//
-// 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 "ITs-media-vision-common.h"
-
-static mv_inference_h gInferenceHandle = NULL;
-static mv_engine_config_h gEngineConfigHandle = NULL;
-static mv_source_h gSourceHandle = NULL;
-const char *gInferenceExampleDir = NULL;
-int g_nRetVal;
-bool g_bResultNumber;
-bool g_bIsGetPoseLandmark;
-int g_nNumberOfLandmarks;
-int g_nNumberOfPoses;
-float g_PoseCompareScore;
-int g_nLabel;
-
-#define IC_MODEL_FILENAME "ic_tflite_model.tflite"
-#define IC_MODEL_META_FILENAME "ic_tflite_model_meta.json"
-#define IC_LABEL_FILENAME "ic_label.txt"
-
-#define OD_MODEL_FILENAME "od_tflite_model.tflite"
-#define OD_MODEL_META_FILENAME "od_tflite_model_meta.json"
-#define OD_LABEL_FILENAME "od_label.txt"
-
-#define FD_MODEL_FILENAME "fd_tflite_model1.tflite"
-#define FD_MODEL_META_FILENAME "fd_tflite_model1_meta.json"
-
-#define FLD_MODEL_FILENAME "fld_tflite_model1.tflite"
-#define FLD_MODEL_META_FILENAME "fld_tflite_model1_meta.json"
-
-#define PLD_MODEL_FILENAME "pld_tflite_model.tflite"
-#define PLD_MODEL_META_FILENAME "pld_tflite_model_meta.json"
-#define PLD_POSE_MAPPING_FILENAME "pld_pose_mapping.txt"
-#define PLD_MOCAP_FILEAME "pld_mocap.bvh"
-#define PLD_MOCAP_MAPPING_FILENAME "pld_mocap_mapping.txt"
-
-//& set: MediaVision
-
-/** @addtogroup itc-media-vision
- *  @ingroup itc
- *  @{
- */
-/**
- * @function           SetFacialLandmarkDetectionEngineConfigParameter
- * @description                Helper Function for setting face detection settings
- * @parameter          v_engine_config_h engineCfg
- * @return             On success 0 and non zero value on failure
- */
-static int SetFacialLandmarkDetectionEngineConfigParameter(mv_engine_config_h engineCfg)
-{
-       int nRet = MEDIA_VISION_ERROR_NONE;
-
-       char modelFilename[1024];
-       char modelMetaFilename[1024];
-       snprintf(modelFilename, 1024, "%s/models/%s", gInferenceExampleDir, FLD_MODEL_FILENAME);
-       snprintf(modelMetaFilename, 1024, "%s/models/%s", gInferenceExampleDir, FLD_MODEL_META_FILENAME);
-
-       nRet = mv_engine_config_set_string_attribute(engineCfg, MV_INFERENCE_MODEL_WEIGHT_FILE_PATH, modelFilename);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_string_attribute", MediaVisionGetError(nRet));
-       nRet = mv_engine_config_set_string_attribute(engineCfg, MV_INFERENCE_MODEL_META_FILE_PATH, modelMetaFilename);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_string_attribute", MediaVisionGetError(nRet));
-
-       nRet = mv_engine_config_set_int_attribute(engineCfg, MV_INFERENCE_BACKEND_TYPE, MV_INFERENCE_BACKEND_TFLITE);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_int_attribute", MediaVisionGetError(nRet));
-       nRet = mv_engine_config_set_int_attribute(engineCfg, MV_INFERENCE_TARGET_DEVICE_TYPE,
-                                                                                         MV_INFERENCE_TARGET_DEVICE_CPU);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_int_attribute", MediaVisionGetError(nRet));
-
-       return nRet;
-}
-
-/**
- * @function           SetFaceDetectionEngineConfigParameter
- * @description                Helper Function for setting face detection settings
- * @parameter          v_engine_config_h engineCfg
- * @return             On success 0 and non zero value on failure
- */
-static int SetFaceDetectionEngineConfigParameter(mv_engine_config_h engineCfg)
-{
-       int nRet = MEDIA_VISION_ERROR_NONE;
-
-       char modelFilename[1024];
-       char modelMetaFilename[1024];
-       snprintf(modelFilename, 1024, "%s/models/%s", gInferenceExampleDir, FD_MODEL_FILENAME);
-       snprintf(modelMetaFilename, 1024, "%s/models/%s", gInferenceExampleDir, FD_MODEL_META_FILENAME);
-
-       nRet = mv_engine_config_set_string_attribute(engineCfg, MV_INFERENCE_MODEL_WEIGHT_FILE_PATH, modelFilename);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_string_attribute", MediaVisionGetError(nRet));
-       nRet = mv_engine_config_set_string_attribute(engineCfg, MV_INFERENCE_MODEL_META_FILE_PATH, modelMetaFilename);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_string_attribute", MediaVisionGetError(nRet));
-
-       nRet = mv_engine_config_set_int_attribute(engineCfg, MV_INFERENCE_BACKEND_TYPE, MV_INFERENCE_BACKEND_TFLITE);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_int_attribute", MediaVisionGetError(nRet));
-       nRet = mv_engine_config_set_int_attribute(engineCfg, MV_INFERENCE_TARGET_DEVICE_TYPE,
-                                                                                         MV_INFERENCE_TARGET_DEVICE_CPU);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_int_attribute", MediaVisionGetError(nRet));
-
-       return nRet;
-}
-
-/**
- * @function           SetObjectDetectionEngineConfigParameter
- * @description                Helper Function for setting Object detection settings
- * @parameter          v_engine_config_h engineCfg
- * @return             On success 0 and non zero value on failure
- */
-static int SetObjectDetectionEngineConfigParameter(mv_engine_config_h engineCfg)
-{
-       int nRet = MEDIA_VISION_ERROR_NONE;
-
-       char modelFilename[1024];
-       char modelMetaFilename[1024];
-       char labelFilename[1024];
-       snprintf(modelFilename, 1024, "%s/models/%s", gInferenceExampleDir, OD_MODEL_FILENAME);
-       snprintf(modelMetaFilename, 1024, "%s/models/%s", gInferenceExampleDir, OD_MODEL_META_FILENAME);
-       snprintf(labelFilename, 1024, "%s/models/%s", gInferenceExampleDir, OD_LABEL_FILENAME);
-
-       nRet = mv_engine_config_set_string_attribute(engineCfg, MV_INFERENCE_MODEL_WEIGHT_FILE_PATH, modelFilename);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_string_attribute", MediaVisionGetError(nRet));
-       nRet = mv_engine_config_set_string_attribute(engineCfg, MV_INFERENCE_MODEL_META_FILE_PATH, modelMetaFilename);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_string_attribute", MediaVisionGetError(nRet));
-       nRet = mv_engine_config_set_string_attribute(engineCfg, MV_INFERENCE_MODEL_USER_FILE_PATH, labelFilename);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_string_attribute", MediaVisionGetError(nRet));
-
-       nRet = mv_engine_config_set_int_attribute(engineCfg, MV_INFERENCE_BACKEND_TYPE, MV_INFERENCE_BACKEND_TFLITE);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_int_attribute", MediaVisionGetError(nRet));
-       nRet = mv_engine_config_set_int_attribute(engineCfg, MV_INFERENCE_TARGET_DEVICE_TYPE,
-                                                                                         MV_INFERENCE_TARGET_DEVICE_CPU);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_int_attribute", MediaVisionGetError(nRet));
-
-       return nRet;
-}
-
-/**
- * @function           SetImageClassificationEngineConfigParameter
- * @description                Helper Function for setting image classification
- * @parameter          v_engine_config_h engineCfg
- * @return             On success 0 and non zero value on failure
- */
-static int SetImageClassificationEngineConfigParameter(mv_engine_config_h engineCfg)
-{
-       int nRet = -1;
-
-       char modelFilename[1024];
-       char modelMetaFilename[1024];
-       char labelFilename[1024];
-       snprintf(modelFilename, 1024, "%s/models/%s", gInferenceExampleDir, IC_MODEL_FILENAME);
-       snprintf(modelMetaFilename, 1024, "%s/models/%s", gInferenceExampleDir, IC_MODEL_META_FILENAME);
-       snprintf(labelFilename, 1024, "%s/models/%s", gInferenceExampleDir, IC_LABEL_FILENAME);
-
-       nRet = mv_engine_config_set_string_attribute(engineCfg, MV_INFERENCE_MODEL_WEIGHT_FILE_PATH, modelFilename);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_string_attribute", MediaVisionGetError(nRet));
-       nRet = mv_engine_config_set_string_attribute(engineCfg, MV_INFERENCE_MODEL_META_FILE_PATH, modelMetaFilename);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_string_attribute", MediaVisionGetError(nRet));
-       nRet = mv_engine_config_set_string_attribute(engineCfg, MV_INFERENCE_MODEL_USER_FILE_PATH, labelFilename);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_string_attribute", MediaVisionGetError(nRet));
-
-       nRet = mv_engine_config_set_int_attribute(engineCfg, MV_INFERENCE_BACKEND_TYPE, MV_INFERENCE_BACKEND_TFLITE);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_int_attribute", MediaVisionGetError(nRet));
-       nRet = mv_engine_config_set_int_attribute(engineCfg, MV_INFERENCE_TARGET_DEVICE_TYPE,
-                                                                                         MV_INFERENCE_TARGET_DEVICE_CPU);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_int_attribute", MediaVisionGetError(nRet));
-
-       return nRet;
-}
-
-/**
- * @function           SetPoseLandmarkDetectionEngineConfig
- * @description                Helper Function for pose landmark detection engine
- * config
- * @parameter          v_engine_config_h engineCfg
- * @return             On success 0 and non zero value on failure
- */
-static int SetPoseLandmarkDetectionEngineConfig(mv_engine_config_h engineCfg)
-{
-       int nRet = -1;
-
-       char modelFilename[PATHLEN];
-       char modelMetaFilename[PATHLEN];
-       char poseMappingFilename[PATHLEN];
-       snprintf(modelFilename, PATHLEN, "%s/models/%s", gInferenceExampleDir, PLD_MODEL_FILENAME);
-       snprintf(modelMetaFilename, PATHLEN, "%s/models/%s", gInferenceExampleDir, PLD_MODEL_META_FILENAME);
-       snprintf(poseMappingFilename, PATHLEN, "%s/models/%s", gInferenceExampleDir, PLD_POSE_MAPPING_FILENAME);
-
-       nRet = mv_engine_config_set_string_attribute(engineCfg, MV_INFERENCE_MODEL_WEIGHT_FILE_PATH, modelFilename);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_string_attribute", MediaVisionGetError(nRet));
-
-       nRet = mv_engine_config_set_string_attribute(engineCfg, MV_INFERENCE_MODEL_META_FILE_PATH, modelMetaFilename);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_string_attribute", MediaVisionGetError(nRet));
-
-       nRet = mv_engine_config_set_string_attribute(engineCfg, MV_INFERENCE_MODEL_USER_FILE_PATH, poseMappingFilename);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_string_attribute", MediaVisionGetError(nRet));
-
-       nRet = mv_engine_config_set_int_attribute(engineCfg, MV_INFERENCE_BACKEND_TYPE, MV_INFERENCE_BACKEND_TFLITE);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_int_attribute", MediaVisionGetError(nRet));
-
-       nRet = mv_engine_config_set_int_attribute(engineCfg, MV_INFERENCE_TARGET_DEVICE_TYPE,
-                                                                                         MV_INFERENCE_TARGET_DEVICE_CPU);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_int_attribute", MediaVisionGetError(nRet));
-
-       return nRet;
-}
-
-/**
- * @function           ImageClassifiyCB
- * @description                Callback Function
- * @parameter          mv_source_h source, int number_of_classes,const int
- * *indices, const char **names, const float *confidences, void *user_data
- * @return                     NA
- */
-static void ImageClassifiyCB(mv_source_h source, int number_of_classes, const int *indices, const char **names,
-                                                        const float *confidences, void *user_data)
-{
-#if DEBUG
-       FPRINTF("[Line : %d][%s] Inside ImageClassifiyCB callback \n", __LINE__, API_NAMESPACE);
-#endif
-
-       g_CallBackHit = true;
-}
-
-/**
- * @function           ObjectDetectionCB
- * @description                Callback Function
- * @parameter          mv_source_h source, int number_of_object,const , int
- * *indices, const char **names, const float *confidences, const mv_rectangle_s
- * *locations, void *user_data
- * @return                     NA
- */
-static void ObjectDetectionCB(mv_source_h source, int number_of_object, const int *indices, const char **names,
-                                                         const float *confidences, const mv_rectangle_s *locations, void *user_data)
-{
-#if DEBUG
-       FPRINTF("[Line : %d][%s] Inside ObjectDetectionCB callback \n", __LINE__, API_NAMESPACE);
-#endif
-       g_CallBackHit = true;
-}
-
-/**
- * @function           FaceDetectionCB
- * @description                Callback Function
- * @parameter          mv_source_h source, int number_of_faces,  const float
- * *confidences,const mv_rectangle_s *locations, void *user_data
- * @return             NA
- */
-static void FaceDetectionCB(mv_source_h source, int number_of_faces, const float *confidences,
-                                                       const mv_rectangle_s *locations, void *user_data)
-{
-#if DEBUG
-       FPRINTF("[Line : %d][%s] Inside FaceDetectionCB callback \n", __LINE__, API_NAMESPACE);
-#endif
-       g_CallBackHit = true;
-}
-
-/**
- * @function           FaceLandmarkDetectionCB
- * @description                Callback Function
- * @parameter          mv_source_h source, int number_of_landmark, const
- * mv_rectangle_s *locations, void *user_data
- * @return             NA
- */
-static void FaceLandmarkDetectionCB(mv_source_h source, int number_of_landmark, const mv_rectangle_s *locations,
-                                                                       void *user_data)
-{
-#if DEBUG
-       FPRINTF("[Line : %d][%s] Inside FaceLandmarkDetectionCB callback \n", __LINE__, API_NAMESPACE);
-#endif
-       g_CallBackHit = true;
-}
-
-/**
- * @function           SupportedInferenceCB
- * @description                Callback Function
- * @parameter          const char *engine, bool supported, void *user_data
- * @return             NA
- */
-static bool SupportedInferenceCB(const char *engine, bool supported, void *user_data)
-{
-#if DEBUG
-       FPRINTF("[Line : %d][%s] Inside SupportedInferenceCB callback \n", __LINE__, API_NAMESPACE);
-#endif
-       g_CallBackHit = true;
-}
-
-/**
- * @function           PoseLandmarkDetectedCB
- * @description                Callback Function
- * @parameter          mv_source_h source, mv_inference_pose_result_h locations,
- * void *user_data
- * @return                     NA
- */
-static void PoseLandmarkDetectedCB(mv_source_h source, mv_inference_pose_result_h locations, void *user_data)
-{
-#if DEBUG
-       FPRINTF("[Line : %d][%s] Inside PoseLandmarkDetectedCB callback \n", __LINE__, API_NAMESPACE);
-#endif
-       g_CallBackHit = true;
-}
-
-/**
- * @function           GetPoseLandmarkDetectedResultCB
- * @description                Callback Function
- * @parameter          mv_source_h source, mv_inference_pose_result_h result,
- * void *user_data
- * @return                     NA
- */
-static void GetPoseLandmarkDetectedResultCB(mv_source_h source, mv_inference_pose_result_h result, void *user_data)
-{
-#if DEBUG
-       FPRINTF("[Line : %d][%s] Inside GetPoseLandmarkDetectedResultCB callback \n", __LINE__, API_NAMESPACE);
-#endif
-       g_CallBackHit = true;
-       g_nRetVal = mv_inference_pose_get_number_of_poses(result, &g_nNumberOfPoses);
-}
-
-/**
- * @function           GetNumberOfLandmarksCB
- * @description                Callback Function
- * @parameter          mv_source_h source, mv_inference_pose_result_h result,
- * void *user_data
- * @return                     NA
- */
-static void GetNumberOfLandmarksCB(mv_source_h source, mv_inference_pose_result_h result, void *user_data)
-{
-#if DEBUG
-       FPRINTF("[Line : %d][%s] Inside GetNumberOfLandmarksCB callback \n", __LINE__, API_NAMESPACE);
-#endif
-       g_CallBackHit = true;
-
-       g_nRetVal = mv_inference_pose_get_number_of_landmarks(result, &g_nNumberOfLandmarks);
-}
-
-/**
- * @function           GetLandmarkCB
- * @description                Callback Function
- * @parameter          mv_source_h source, mv_inference_pose_result_h result,
- * void *user_data
- * @return                     NA
- */
-static void GetLandmarkCB(mv_source_h source, mv_inference_pose_result_h result, void *user_data)
-{
-#if DEBUG
-       FPRINTF("[Line : %d][%s] Inside GetLandmarkCB callback \n", __LINE__, API_NAMESPACE);
-#endif
-       g_CallBackHit = true;
-       int nResultNumberOfPoses = -1;
-       int nResultNumberOfLandmarks = -1;
-       static mv_point_s **resultLandmarks = NULL;
-       static float **resultScore = NULL;
-
-       g_nRetVal = mv_inference_pose_get_number_of_poses(result, &nResultNumberOfPoses);
-       if (g_nRetVal != MEDIA_VISION_ERROR_NONE || nResultNumberOfPoses <= 0)
-               return;
-
-       g_nRetVal = mv_inference_pose_get_number_of_landmarks(result, &nResultNumberOfLandmarks);
-       if (g_nRetVal != MEDIA_VISION_ERROR_NONE || nResultNumberOfLandmarks < 0)
-               return;
-
-       resultLandmarks = (mv_point_s **) malloc(nResultNumberOfPoses * sizeof(mv_point_s *));
-       resultScore = (float **) malloc(nResultNumberOfPoses * sizeof(float *));
-       for (int nPose = 0; nPose < nResultNumberOfPoses; ++nPose) {
-               resultLandmarks[nPose] = (mv_point_s *) malloc(nResultNumberOfLandmarks * sizeof(mv_point_s));
-               resultScore[nPose] = (float *) malloc(nResultNumberOfLandmarks * sizeof(float));
-               for (int part = 0; part < nResultNumberOfLandmarks; ++part) {
-                       g_nRetVal = mv_inference_pose_get_landmark(result, nPose, part, &(resultLandmarks[nPose][part]),
-                                                                                                          &(resultScore[nPose][part]));
-                       if (g_nRetVal != MEDIA_VISION_ERROR_NONE)
-                               break;
-               }
-       }
-
-       g_bIsGetPoseLandmark = true;
-
-       if (resultLandmarks) {
-               for (int pose = 0; pose < nResultNumberOfPoses; ++pose)
-                       free(resultLandmarks[pose]);
-               free(resultLandmarks);
-               resultLandmarks = NULL;
-       }
-
-       if (resultScore) {
-               for (int pose = 0; pose < nResultNumberOfPoses; ++pose)
-                       free(resultScore[pose]);
-               free(resultScore);
-               resultScore = NULL;
-       }
-}
-
-/**
- * @function           GetPoseCB
- * @description                Callback Function
- * @parameter          mv_source_h source, mv_inference_pose_result_h result,
- * void *user_data
- * @return                     NA
- */
-static void GetPoseCB(mv_source_h source, mv_inference_pose_result_h result, void *user_data)
-{
-#if DEBUG
-       FPRINTF("[Line : %d][%s] Inside GetPoseCB callback \n", __LINE__, API_NAMESPACE);
-#endif
-       g_CallBackHit = true;
-       g_nRetVal = mv_inference_pose_get_number_of_poses(result, &g_nNumberOfPoses);
-       if (g_nRetVal != MEDIA_VISION_ERROR_NONE)
-               return;
-
-       if (g_nNumberOfPoses <= 0)
-               return;
-
-       g_nRetVal = mv_inference_pose_get_label(result, 0, &g_nLabel);
-}
-
-/**
- * @function           PoseCompareCB
- * @description                Callback Function
- * @parameter          mv_source_h source, mv_inference_pose_result_h result,
- * void *user_data
- * @return                     NA
- */
-static void PoseCompareCB(mv_source_h source, mv_inference_pose_result_h result, void *user_data)
-{
-#if DEBUG
-       FPRINTF("[Line : %d][%s] Inside PoseCompareCB callback \n", __LINE__, API_NAMESPACE);
-#endif
-       g_CallBackHit = true;
-
-       mv_pose_h *hPose = (mv_pose_h *) user_data;
-       int nPart = MV_INFERENCE_HUMAN_BODY_PART_LEG_RIGHT | MV_INFERENCE_HUMAN_BODY_PART_LEG_LEFT;
-       g_nRetVal = mv_pose_compare(hPose, result, nPart, &g_PoseCompareScore);
-}
-
-/**
- * @function           ITs_media_vision_inference_startup
- * @description                Called before each test
- * @parameter          NA
- * @return                     NA
- */
-
-void ITs_media_vision_inference_startup(void)
-{
-#if DEBUG
-       FPRINTF("[Line : %d][%s] Inside ITs_media_vision_inference_startup \n", __LINE__, API_NAMESPACE);
-#endif
-       struct stat stBuff;
-       int nRet = -1;
-       if (stat(ERR_LOG, &stBuff) == 0) {
-               remove(ERR_LOG);
-       }
-       g_bMediavisionInferenceModelCreation = false;
-       g_bMismatch = false;
-       g_bIsVisionInferenceFeatureSupported = TCTCheckSystemInfoFeatureSupported(VISIONINFERENCEFEATURE, API_NAMESPACE);
-       char pszValue[CONFIG_VALUE_LEN_MAX] = {
-               0,
-       };
-       if (true == GetValueForTCTSetting("DEVICE_SUITE_TARGET_30", pszValue, API_NAMESPACE)) {
-               FPRINTF("[Line : %d][%s] 'DEVICE_SUITE_TARGET_30' Values Received %s\n", __LINE__, API_NAMESPACE, pszValue);
-
-               gInferenceExampleDir = (char *) calloc(strlen(pszValue) + strlen("/res/res/inference") + 1, sizeof(char));
-               snprintf(gInferenceExampleDir, strlen(pszValue) + strlen("/res/res/inference") + 1, "%s/res/res/inference",
-                                pszValue);
-
-       } else {
-               FPRINTF("[Line : %d][%s] GetValueForTCTSetting returned error for "
-                               "'DEVICE_SUITE_TARGET_30'\n",
-                               __LINE__, API_NAMESPACE);
-       }
-
-       nRet = mv_inference_create(&gInferenceHandle);
-       if (!g_bIsVisionInferenceFeatureSupported) {
-               if (nRet != TIZEN_ERROR_NOT_SUPPORTED) {
-                       FPRINTF("[%s:%d] mv_inference_create failed to return "
-                                       "TIZEN_ERROR_NOT_SUPPORTED for unsupported feature, error "
-                                       "returned = (%d)\n",
-                                       __FILE__, __LINE__, nRet);
-                       dlog_print(DLOG_ERROR, "NativeTCT",
-                                          "[%s:%d] mv_inference_create failed to return "
-                                          "TIZEN_ERROR_NOT_SUPPORTED for unsupported feature, error "
-                                          "returned = (%d)",
-                                          __FILE__, __LINE__, nRet);
-                       g_bMismatch = true;
-                       return;
-               }
-
-               FPRINTF("[%s:%d] mv_inference_create is unsupported\n", __FILE__, __LINE__);
-               dlog_print(DLOG_ERROR, "NativeTCT", "[%s:%d] mv_inference_create is unsupported", __FILE__, __LINE__);
-               g_bMismatch = false;
-       } else if (nRet != MEDIA_VISION_ERROR_NONE) {
-               FPRINTF("[%s:%d] mv_inference_create failed, error returned =(%d)\n", __FILE__, __LINE__, nRet);
-               dlog_print(DLOG_ERROR, "NativeTCT", "[%s:%d] mv_inference_create failed, error returned = (%d)", __FILE__,
-                                  __LINE__, nRet);
-               g_bMediavisionInferenceModelCreation = false;
-       } else {
-               g_bMediavisionInferenceModelCreation = true;
-       }
-
-       nRet = mv_create_engine_config(&gEngineConfigHandle);
-       if (MEDIA_VISION_ERROR_NONE != nRet) {
-               gEngineConfigHandle = NULL;
-               FPRINTF("[%s:%d] mv_create_engine_config failed, error returned =(%d)\n", __FILE__, __LINE__, nRet);
-               g_bMediavisionInferenceModelCreation = false;
-               return;
-       }
-
-       nRet = mv_create_source(&gSourceHandle);
-       if (MEDIA_VISION_ERROR_NONE != nRet) {
-               gSourceHandle = NULL;
-               FPRINTF("[%s:%d] mv_create_source failed, error returned =(%d)\n", __FILE__, __LINE__, nRet);
-               g_bMediavisionInferenceModelCreation = false;
-               return;
-       }
-}
-
-/**
- * @function           ITs_media_vision_inference_cleanup
- * @description                Called after each test
- * @parameter          NA
- * @return                     NA
- */
-void ITs_media_vision_inference_cleanup(void)
-{
-#if DEBUG
-       FPRINTF("[Line : %d][%s] Inside ITs_media_vision_inference_cleanup \n", __LINE__, API_NAMESPACE);
-#endif
-       if (gInferenceHandle) {
-               mv_inference_destroy(gInferenceHandle);
-               gInferenceHandle = NULL;
-       }
-
-       if (gEngineConfigHandle) {
-               mv_destroy_engine_config(gEngineConfigHandle);
-               gEngineConfigHandle = NULL;
-       }
-
-       if (gSourceHandle) {
-               mv_destroy_source(gSourceHandle);
-               gSourceHandle = NULL;
-       }
-
-       if (gInferenceExampleDir) {
-               free(gInferenceExampleDir);
-               gInferenceExampleDir = NULL;
-       }
-
-       return;
-}
-
-/**
- * @testcase
- * ITc_mediavision_mv_engine_set_get_array_string_attribute_p
- * @author                             SRID(manoj.g2)
- * @reviewer                           SRID(shobhit.v)
- * @type                               auto
- * @since_tizen                        5.5
- * @description                                Set and Get mv engine array string
- * attribute
- * @scenario                           Set and Get mv engine array string
- * attribute
- * @apicovered                         mv_engine_config_set_array_string_attribute,
- * mv_engine_config_get_array_string_attribute
- * @passcase                           If mv_engine_config_set_array_string_attribute,
- * mv_engine_config_get_array_string_attribute and Precondition APi's returns
- * MEDIA_VISION_ERROR_NONE
- * @failcase                           If Precondition API or Target API Fails
- * @precondition                       NA
- * @postcondition                      NA
- * */
-//& type: auto
-//& purpose: Set and Get mv engine array string attribute
-int ITc_mediavision_mv_engine_set_get_array_string_attribute_p(void)
-{
-       START_TEST_INFERENCE;
-       int nRet = -1;
-       char modelFilename[1024];
-       snprintf(modelFilename, 1024, "%s/models/%s", gInferenceExampleDir, FLD_MODEL_FILENAME);
-       const int expectedSize = 2;
-       const char *expectedParameterValue[2] = { "output/node1", "output/node2" };
-       int actualSize = 0;
-       char **actualParameterValue = NULL;
-       mv_engine_config_h hEngineHandler = NULL;
-       int resultFlag = 0;
-
-       nRet = mv_create_engine_config(&hEngineHandler);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_create_engine_config", MediaVisionGetError(nRet));
-       CHECK_HANDLE(hEngineHandler, "mv_create_engine_config");
-
-       nRet = mv_engine_config_set_array_string_attribute(hEngineHandler, "MV_INFERENCE_OUTPUT_NODE_NAMES",
-                                                                                                          expectedParameterValue, 2);
-       PRINT_RESULT_CLEANUP(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_set_array_string_attribute",
-                                                MediaVisionGetError(nRet), mv_destroy_engine_config(hEngineHandler));
-
-       nRet = mv_engine_config_get_array_string_attribute(hEngineHandler, "MV_INFERENCE_OUTPUT_NODE_NAMES",
-                                                                                                          &actualParameterValue, &actualSize);
-       PRINT_RESULT_CLEANUP(MEDIA_VISION_ERROR_NONE, nRet, "mv_engine_config_get_array_string_attribute",
-                                                MediaVisionGetError(nRet), mv_destroy_engine_config(hEngineHandler));
-
-       PRINT_RESULT(expectedSize, actualSize, "expected and actual size is not same", MediaVisionGetError(nRet));
-       for (int i = 0; i < expectedSize; ++i) {
-               if (strcmp(expectedParameterValue[i], actualParameterValue[i]) != 0) {
-                       FPRINTF("[%s:%d] Expected and actual parameter value is not same\n", __FILE__, __LINE__);
-                       resultFlag = 1;
-               }
-       }
-
-       nRet = mv_destroy_engine_config(hEngineHandler);
-       PRINT_RESULT_NORETURN(MEDIA_VISION_ERROR_NONE, nRet, "mv_destroy_engine_config", MediaVisionGetError(nRet));
-
-       for (int i = 0; i < actualSize; ++i) {
-               free(actualParameterValue[i]);
-       }
-       free(actualParameterValue);
-       if (resultFlag)
-               return 1;
-       else
-               return 0;
-}
-
-/**
- * @testcase
- * ITc_mediavision_mv_inference_create_destroy_p
- * @author                             SRID(manoj.g2)
- * @reviewer                           SRID(shobhit.v)
- * @type                               auto
- * @since_tizen                        5.5
- * @description                                To check for inference create and destroy
- * handle
- * @scenario                           To check for inference create and destroy
- * handle
- * @apicovered                         mv_inference_create,
- * mv_inference_destroy
- * @passcase                           If mv_inference_create, mv_inference_destroy
- * returns MEDIA_VISION_ERROR_NONE
- * @failcase                           If Precondition API or Target API Fails
- * @precondition                       NA
- * @postcondition                      NA
- * */
-//& type: auto
-//& purpose: To check for inference create and destroy handle
-int ITc_mediavision_mv_inference_create_destroy_p(void)
-{
-       START_TEST_INFERENCE;
-       int nRet = -1;
-       mv_inference_h hInferenceHandle = NULL;
-
-       nRet = mv_inference_create(&hInferenceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_create", MediaVisionGetError(nRet));
-       CHECK_HANDLE(hInferenceHandle, "mv_inference_create");
-
-       nRet = mv_inference_destroy(hInferenceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_destroy", MediaVisionGetError(nRet));
-       return 0;
-}
-
-/**
- * @testcase                           ITc_mediavision_mv_inference_configure_p
- * @author                             SRID(manoj.g2)
- * @reviewer                           SRID(shobhit.v)
- * @type                               auto
- * @since_tizen                        5.5
- * @description                                To configure inference handle
- * @scenario                           To configure inference handle
- * @apicovered                         mv_inference_configure
- * @passcase                           If mv_inference_configure and Precondition API's
- * returns MEDIA_VISION_ERROR_NONE
- * @failcase                           If Precondition API or Target API Fails
- * @precondition                       NA
- * @postcondition                      NA
- * */
-//& type: auto
-//& purpose: To configure inference handle
-int ITc_mediavision_mv_inference_configure_p(void)
-{
-       START_TEST_INFERENCE;
-       int nRet = -1;
-
-       nRet = SetImageClassificationEngineConfigParameter(gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "SetImageClassificationEngineConfigParameter",
-                                MediaVisionGetError(nRet));
-
-       nRet = mv_inference_configure(gInferenceHandle, gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_configure", MediaVisionGetError(nRet));
-       return 0;
-}
-
-/**
- * @testcase                           ITc_mediavision_mv_inference_prepare_p
- * @author                             SRID(manoj.g2)
- * @reviewer                           SRID(shobhit.v)
- * @type                               auto
- * @since_tizen                        5.5
- * @description                                To prepare inference handle
- * @scenario                           To prepare inference handle
- * @apicovered                         mv_inference_prepare
- * @passcase                           If mv_inference_prepare and Precondition API's
- * returns MEDIA_VISION_ERROR_NONE
- * @failcase                           If Precondition API or Target API Fails
- * @precondition                       NA
- * @postcondition                      NA
- * */
-//& type: auto
-//& purpose: To prepare inference handle
-int ITc_mediavision_mv_inference_prepare_p(void)
-{
-       START_TEST_INFERENCE;
-       int nRet = -1;
-
-       nRet = SetImageClassificationEngineConfigParameter(gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "SetImageClassificationEngineConfigParameter",
-                                MediaVisionGetError(nRet));
-
-       nRet = mv_inference_configure(gInferenceHandle, gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_configure", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_prepare(gInferenceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_prepare", MediaVisionGetError(nRet));
-       return 0;
-}
-
-/**
- * @testcase
- * ITc_mediavision_mv_inference_foreach_supported_engine_p
- * @author                             SRID(manoj.g2)
- * @reviewer                           SRID(shobhit.v)
- * @type                               auto
- * @since_tizen                        5.5
- * @description                                To foreach supported inference engine
- * @scenario                           To foreach supported inference engine
- * @apicovered                         mv_inference_foreach_supported_engine
- * @passcase                           If mv_inference_foreach_supported_engine and
- * Precondition API's returns MEDIA_VISION_ERROR_NONE
- * @failcase                           If Precondition API or Target API Fails
- * @precondition                       NA
- * @postcondition                      NA
- * */
-//& type: auto
-//& purpose: To foreach supported inference engine
-int ITc_mediavision_mv_inference_foreach_supported_engine_p(void)
-{
-       START_TEST_INFERENCE;
-       int nRet = -1;
-
-       nRet = mv_inference_foreach_supported_engine(gInferenceHandle, SupportedInferenceCB, NULL);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_foreach_supported_engine", MediaVisionGetError(nRet));
-       PRINT_RESULT(g_CallBackHit, true, "callback not hit", MediaVisionGetError(nRet));
-       return 0;
-}
-
-/**
- * @testcase
- * ITc_mediavision_mv_inference_image_classify_p
- * @author                             SRID(manoj.g2)
- * @reviewer                           SRID(shobhit.v)
- * @type                               auto
- * @since_tizen                        5.5
- * @description                                To classify image inference handle
- * @scenario                           To classify image inference handle
- * @apicovered                         mv_inference_image_classify
- * @passcase                           If mv_inference_image_classify and Precondition
- * API's returns MEDIA_VISION_ERROR_NONE
- * @failcase                           If Precondition API or Target API Fails
- * @precondition                       NA
- * @postcondition                      NA
- * */
-//& type: auto
-//& purpose: To classify image inference handle
-int ITc_mediavision_mv_inference_image_classify_p(void)
-{
-       START_TEST_INFERENCE;
-       int nRet = -1;
-       char pszImageFileName[1024];
-
-       nRet = SetImageClassificationEngineConfigParameter(gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "SetImageClassificationEngineConfigParameter",
-                                MediaVisionGetError(nRet));
-
-       nRet = mv_inference_configure(gInferenceHandle, gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_configure", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_prepare(gInferenceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_prepare", MediaVisionGetError(nRet));
-
-       snprintf(pszImageFileName, 1024, "%s/images/%s", gInferenceExampleDir, "banana.jpg");
-       nRet = image_load(pszImageFileName, gSourceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "image_load", MediaVisionGetError(nRet));
-
-       g_CallBackHit = false;
-       nRet = mv_inference_image_classify(gSourceHandle, gInferenceHandle, NULL, ImageClassifiyCB, NULL);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_image_classify", MediaVisionGetError(nRet));
-       PRINT_RESULT(g_CallBackHit, true, "callback not hit", MediaVisionGetError(nRet));
-       return 0;
-}
-
-/**
- * @testcase ITc_mediavision_mv_inference_object_detect_p
- * @author                             SRID(manoj.g2)
- * @reviewer                           SRID(shobhit.v)
- * @type                               auto
- * @since_tizen                        5.5
- * @description                                To Check for inference object detect
- * @scenario                           To Check for inference object detect
- * @apicovered                         mv_inference_object_detect
- * @passcase                           If mv_inference_object_detect and Precondition
- * API's returns MEDIA_VISION_ERROR_NONE
- * @failcase                           If Precondition API or Target API Fails
- * @precondition                       NA
- * @postcondition                      NA
- * */
-//& type: auto
-//& purpose: To Check for inference object detect
-int ITc_mediavision_mv_inference_object_detect_p(void)
-{
-       START_TEST_INFERENCE;
-       int nRet = -1;
-       char pszImageFileName[1024];
-
-       nRet = SetObjectDetectionEngineConfigParameter(gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "SetObjectDetectionEngineConfigParameter", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_configure(gInferenceHandle, gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_configure", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_prepare(gInferenceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_prepare", MediaVisionGetError(nRet));
-
-       snprintf(pszImageFileName, 1024, "%s/images/%s", gInferenceExampleDir, "dog2.jpg");
-       nRet = image_load(pszImageFileName, gSourceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "image_load", MediaVisionGetError(nRet));
-
-       g_CallBackHit = false;
-       nRet = mv_inference_object_detect(gSourceHandle, gInferenceHandle, ObjectDetectionCB, NULL);
-
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_object_detect", MediaVisionGetError(nRet));
-       PRINT_RESULT(g_CallBackHit, true, "callback not hit", MediaVisionGetError(nRet));
-       return 0;
-}
-
-/**
- * @testcase ITc_mediavision_mv_inference_face_detect_p
- * @author                             SRID(manoj.g2)
- * @reviewer                           SRID(shobhit.v)
- * @type                               auto
- * @since_tizen                        5.5
- * @description                                To Check for inference face detect
- * @scenario                           To Check for inference face detect
- * @apicovered                         mv_inference_face_detect
- * @passcase                           If mv_inference_face_detect and Precondition
- * API's returns MEDIA_VISION_ERROR_NONE
- * @failcase                           If Precondition API or Target API Fails
- * @precondition                       NA
- * @postcondition                      NA
- * */
-//& type: auto
-//& purpose: To Check for inference face detect
-int ITc_mediavision_mv_inference_face_detect_p(void)
-{
-       START_TEST_INFERENCE;
-       int nRet = -1;
-       char pszImageFileName[1024];
-
-       nRet = SetFaceDetectionEngineConfigParameter(gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "SetFaceDetectionEngineConfigParameter", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_configure(gInferenceHandle, gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_configure", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_prepare(gInferenceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_prepare", MediaVisionGetError(nRet));
-
-       snprintf(pszImageFileName, 1024, "%s/images/%s", gInferenceExampleDir, "faceDetection.jpg");
-       nRet = image_load(pszImageFileName, gSourceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "image_load", MediaVisionGetError(nRet));
-
-       g_CallBackHit = false;
-       nRet = mv_inference_face_detect(gSourceHandle, gInferenceHandle, FaceDetectionCB, NULL);
-
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_face_detect", MediaVisionGetError(nRet));
-       PRINT_RESULT(g_CallBackHit, true, "callback not hit", MediaVisionGetError(nRet));
-       return 0;
-}
-
-/**
- * @testcase
- * ITc_mediavision_mv_inference_facial_landmark_detect_p
- * @author                             SRID(manoj.g2)
- * @reviewer                           SRID(shobhit.v)
- * @type                               auto
- * @since_tizen                        5.5
- * @description                                To Check for inference facial landmark
- * detection
- * @scenario                           To Check for inference facial landmark
- * detection
- * @apicovered                         mv_inference_facial_landmark_detect
- * @passcase                           If mv_inference_facial_landmark_detect and
- * Precondition API's returns MEDIA_VISION_ERROR_NONE
- * @failcase                           If Precondition API or Target API Fails
- * @precondition                       NA
- * @postcondition                      NA
- * */
-//& type: auto
-//& purpose: To Check for inference facial landmark detection
-int ITc_mediavision_mv_inference_facial_landmark_detect_p(void)
-{
-       START_TEST_INFERENCE;
-       int nRet = -1;
-       char pszImageFileName[1024];
-
-       nRet = SetFacialLandmarkDetectionEngineConfigParameter(gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "SetFacialLandmarkDetectionEngineConfigParameter",
-                                MediaVisionGetError(nRet));
-
-       nRet = mv_inference_configure(gInferenceHandle, gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_configure", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_prepare(gInferenceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_prepare", MediaVisionGetError(nRet));
-
-       snprintf(pszImageFileName, 1024, "%s/images/%s", gInferenceExampleDir, "faceLandmark.jpg");
-       nRet = image_load(pszImageFileName, gSourceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "image_load", MediaVisionGetError(nRet));
-
-       g_CallBackHit = false;
-       nRet = mv_inference_facial_landmark_detect(gSourceHandle, gInferenceHandle, NULL, FaceLandmarkDetectionCB, NULL);
-
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_facial_landmark_detect", MediaVisionGetError(nRet));
-       PRINT_RESULT(g_CallBackHit, true, "callback not hit", MediaVisionGetError(nRet));
-       return 0;
-}
-
-/**
- * @testcase
- *ITc_mediavision_mv_inference_pose_landmark_detect_p
- * @author                                     SRID(priya.kohli)
- * @reviewer                           SRID(shobhit.v)
- * @type                                       auto
- * @since_tizen                        6.0
- * @description                                Performs pose landmarks detection.
- * @scenario                           This function is used to launch pose
- *landmark detection. Each time when mv_inference_pose_landmark_detect() is
- *called detected_cb will receive a list of pose landmark's locations in the
- *media source
- * @apicovered                         mv_inference_pose_landmark_detect
- * @passcase                           If mv_inference_pose_landmark_detect and
- *Precondition API's returns MEDIA_VISION_ERROR_NONE
- * @failcase                           If Precondition API or Target API Fails
- * @precondition                       NA
- * @postcondition                      NA
- * */
-//& type: auto
-//& purpose: To perform pose landmarks detection.
-int ITc_mediavision_mv_inference_pose_landmark_detect_p(void)
-{
-       START_TEST_INFERENCE;
-       int nRet = -1;
-       char pszImageFileName[PATHLEN];
-
-       nRet = SetPoseLandmarkDetectionEngineConfig(gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "SetPoseLandmarkDetectionEngineConfig", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_configure(gInferenceHandle, gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_configure", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_prepare(gInferenceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_prepare", MediaVisionGetError(nRet));
-
-       snprintf(pszImageFileName, PATHLEN, "%s/images/%s", gInferenceExampleDir, "poseLandmark.jpg");
-       nRet = image_load(pszImageFileName, gSourceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "image_load", MediaVisionGetError(nRet));
-
-       g_CallBackHit = false;
-       nRet = mv_inference_pose_landmark_detect(gSourceHandle, gInferenceHandle, NULL, PoseLandmarkDetectedCB, NULL);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_pose_landmark_detect", MediaVisionGetError(nRet));
-       PRINT_RESULT(true, g_CallBackHit, "mv_inference_pose_landmark_detect", MediaVisionGetError(nRet));
-
-       return 0;
-}
-
-/**
- * @testcase
- * ITc_mediavision_mv_inference_get_number_of_poses_p
- * @author                                     SRID(priya.kohli)
- * @reviewer                           SRID(shobhit.v)
- * @type                                       auto
- * @since_tizen                        6.0
- * @description                                Gets the number of poses.
- * @scenario                           Gets the number of poses.
- * @apicovered                         mv_inference_pose_get_number_of_poses
- * @passcase                           If mv_inference_pose_get_number_of_poses and
- * Precondition API's returns MEDIA_VISION_ERROR_NONE
- * @failcase                           If Precondition API or Target API Fails
- * @precondition                       NA
- * @postcondition                      NA
- * */
-//& type: auto
-//& purpose: To get the number of poses.
-int ITc_mediavision_mv_inference_get_number_of_poses_p(void)
-{
-       START_TEST_INFERENCE;
-       int nRet = -1;
-       g_nRetVal = -1;
-       g_bResultNumber = -1;
-       char pszImageFileName[PATHLEN];
-
-       nRet = SetPoseLandmarkDetectionEngineConfig(gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "SetPoseLandmarkDetectionEngineConfig", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_configure(gInferenceHandle, gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_configure", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_prepare(gInferenceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_prepare", MediaVisionGetError(nRet));
-
-       snprintf(pszImageFileName, PATHLEN, "%s/images/%s", gInferenceExampleDir, "poseLandmark.jpg");
-       nRet = image_load(pszImageFileName, gSourceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "image_load", MediaVisionGetError(nRet));
-
-       g_CallBackHit = false;
-       nRet = mv_inference_pose_landmark_detect(gSourceHandle, gInferenceHandle, NULL, GetPoseLandmarkDetectedResultCB,
-                                                                                        NULL);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_pose_landmark_detect", MediaVisionGetError(nRet));
-       PRINT_RESULT(true, g_CallBackHit, "mv_inference_pose_landmark_detect", MediaVisionGetError(nRet));
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, g_nRetVal, "mv_inference_pose_get_number_of_poses",
-                                MediaVisionGetError(nRet));
-
-       if (g_nNumberOfPoses <= 0) {
-               FPRINTF("[Line : %d][%s] Invalid value of  g_nNumberOfPoses, "
-                               "g_nNumberOfPoses = %d \n",
-                               __LINE__, API_NAMESPACE, g_nNumberOfPoses);
-               return 1;
-       }
-
-       return 0;
-}
-
-/**
- * @testcase
- * ITc_mediavision_mv_inference_get_number_of_landmarks_p
- * @author                                     SRID(priya.kohli)
- * @reviewer                           SRID(shobhit.v)
- * @type                                       auto
- * @since_tizen                        6.0
- * @description                                Gets the number of landmarks per a pose.
- * @scenario                           Gets the number of landmarks per a pose.
- * @apicovered mv_inference_pose_get_number_of_landmarks
- * @passcase                           If mv_inference_pose_get_number_of_landmarks and
- * Precondition API's returns MEDIA_VISION_ERROR_NONE
- * @failcase                           If Precondition API or Target API Fails
- * @precondition                       NA
- * @postcondition                      NA
- * */
-//& type: auto
-//& purpose: To get the number of landmarks per a pose.
-int ITc_mediavision_mv_inference_get_number_of_landmarks_p(void)
-{
-       START_TEST_INFERENCE;
-       int nRet = -1;
-       g_nRetVal = -1;
-       g_bResultNumber = -1;
-       char pszImageFileName[PATHLEN];
-
-       nRet = SetPoseLandmarkDetectionEngineConfig(gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "SetPoseLandmarkDetectionEngineConfig", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_configure(gInferenceHandle, gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_configure", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_prepare(gInferenceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_prepare", MediaVisionGetError(nRet));
-
-       snprintf(pszImageFileName, PATHLEN, "%s/images/%s", gInferenceExampleDir, "poseLandmark.jpg");
-       nRet = image_load(pszImageFileName, gSourceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "image_load", MediaVisionGetError(nRet));
-
-       g_CallBackHit = false;
-       nRet = mv_inference_pose_landmark_detect(gSourceHandle, gInferenceHandle, NULL, GetNumberOfLandmarksCB, NULL);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_pose_landmark_detect", MediaVisionGetError(nRet));
-       PRINT_RESULT(true, g_CallBackHit, "mv_inference_pose_landmark_detect", MediaVisionGetError(nRet));
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, g_nRetVal, "mv_inference_pose_get_number_of_landmarks",
-                                MediaVisionGetError(nRet));
-
-       if (g_nNumberOfLandmarks <= 0) {
-               FPRINTF("[Line : %d][%s] Invalid value of  g_nNumberOfLandmarks, "
-                               "g_nNumberOfLandmarks = %d \n",
-                               __LINE__, API_NAMESPACE, g_nNumberOfLandmarks);
-               return 1;
-       }
-
-       return 0;
-}
-
-/**
- * @testcase ITc_mediavision_mv_inference_get_landmark_p
- * @author                                     SRID(priya.kohli)
- * @reviewer                           SRID(shobhit.v)
- * @type                                       auto
- * @since_tizen                        6.0
- * @description                                Gets landmark location of a part of a
- * pose.
- * @scenario                           Gets landmark location of a part of a
- * pose.
- * @apicovered                         mv_inference_pose_get_landmark
- * @passcase                           If mv_inference_pose_get_landmark and
- * Precondition API's returns MEDIA_VISION_ERROR_NONE
- * @failcase                           If Precondition API or Target API Fails
- * @precondition                       NA
- * @postcondition                      NA
- * */
-//& type: auto
-//& purpose: To get landmark location of a part of a pose.
-int ITc_mediavision_mv_inference_get_landmark_p(void)
-{
-       START_TEST_INFERENCE;
-       int nRet = -1;
-       g_bResultNumber = -1;
-       char pszImageFileName[PATHLEN];
-
-       nRet = SetPoseLandmarkDetectionEngineConfig(gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "SetPoseLandmarkDetectionEngineConfig", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_configure(gInferenceHandle, gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_configure", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_prepare(gInferenceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_prepare", MediaVisionGetError(nRet));
-
-       snprintf(pszImageFileName, PATHLEN, "%s/images/%s", gInferenceExampleDir, "poseLandmark.jpg");
-       nRet = image_load(pszImageFileName, gSourceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "image_load", MediaVisionGetError(nRet));
-
-       g_CallBackHit = false;
-       g_bIsGetPoseLandmark = false;
-
-       nRet = mv_inference_pose_landmark_detect(gSourceHandle, gInferenceHandle, NULL, GetLandmarkCB, NULL);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_pose_landmark_detect", MediaVisionGetError(nRet));
-       PRINT_RESULT(true, g_CallBackHit, "mv_inference_pose_landmark_detect", MediaVisionGetError(nRet));
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, g_nRetVal, "mv_inference_pose_landmark_detect", MediaVisionGetError(nRet));
-       PRINT_RESULT(true, g_bIsGetPoseLandmark, "mv_inference_pose_get_landmark", MediaVisionGetError(nRet));
-
-       return 0;
-}
-
-/**
- * @testcase
- * ITc_mediavision_mv_inference_pose_get_label_p
- * @author                                     SRID(priya.kohli)
- * @reviewer                           SRID(shobhit.v)
- * @type                                       auto
- * @since_tizen                        6.0
- * @description                                Gets a label of a pose
- * @scenario                           Gets a label of a pose
- * @apicovered                         mv_inference_pose_get_label
- * @passcase                           If mv_inference_pose_get_label and Precondition
- * API's returns MEDIA_VISION_ERROR_NONE
- * @failcase                           If Precondition API or Target API Fails
- * @precondition                       NA
- * @postcondition                      NA
- * */
-//& type: auto
-//& purpose: To get label of a pose.
-int ITc_mediavision_mv_inference_pose_get_label_p(void)
-{
-       START_TEST_INFERENCE;
-       int nRet = -1;
-       char pszImageFileName[PATHLEN];
-
-       nRet = SetPoseLandmarkDetectionEngineConfig(gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "SetPoseLandmarkDetectionEngineConfig", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_configure(gInferenceHandle, gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_configure", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_prepare(gInferenceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_prepare", MediaVisionGetError(nRet));
-
-       snprintf(pszImageFileName, PATHLEN, "%s/images/%s", gInferenceExampleDir, "poseLandmark.jpg");
-       nRet = image_load(pszImageFileName, gSourceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "image_load", MediaVisionGetError(nRet));
-
-       g_CallBackHit = false;
-
-       nRet = mv_inference_pose_landmark_detect(gSourceHandle, gInferenceHandle, NULL, GetPoseCB, NULL);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_pose_landmark_detect", MediaVisionGetError(nRet));
-       PRINT_RESULT(true, g_CallBackHit, "mv_inference_pose_landmark_detect", MediaVisionGetError(nRet));
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, g_nRetVal, "mv_inference_pose_landmark_detect", MediaVisionGetError(nRet));
-       if (g_nNumberOfPoses <= 0) {
-               FPRINTF("[Line : %d][%s] Invalid value of  g_nNumberOfPoses, "
-                               "g_nNumberOfPoses = %d \n",
-                               __LINE__, API_NAMESPACE, g_nNumberOfPoses);
-               return 1;
-       }
-       if (g_nLabel > 0) {
-               FPRINTF("[Line : %d][%s] Invalid value of  g_nLabel, g_nLabel = %d \n", __LINE__, API_NAMESPACE, g_nLabel);
-               return 1;
-       }
-
-       return 0;
-}
-
-/**
- * @testcase                           ITc_mediavision_mv_pose_create_destroy_p
- * @author                                     SRID(priya.kohli)
- * @reviewer                           SRID(shobhit.v)
- * @type                                       auto
- * @since_tizen                        6.0
- * @description                                Creates and destroys pose handle.
- * @scenario                           Creates pose handle.
- *                                                     Destroys pose handle and releases
- *all its resources.
- * @apicovered                         mv_pose_create, mv_pose_destroy
- * @passcase                           If mv_pose_create, mv_pose_destroy and
- *Precondition API's returns MEDIA_VISION_ERROR_NONE
- * @failcase                           If Precondition API or Target API Fails
- * @precondition                       NA
- * @postcondition                      NA
- * */
-//& type: auto
-//& purpose: To create and destroy pose handle.
-int ITc_mediavision_mv_pose_create_destroy_p(void)
-{
-       START_TEST_INFERENCE;
-       int nRet = -1;
-       mv_pose_h hPoseHandle = NULL;
-
-       nRet = mv_pose_create(&hPoseHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_pose_create", MediaVisionGetError(nRet));
-
-       nRet = mv_pose_destroy(hPoseHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_pose_destroy", MediaVisionGetError(nRet));
-
-       return 0;
-}
-
-/**
- * @testcase                           ITc_mediavision_mv_pose_set_from_file_p
- * @author                                     SRID(priya.kohli)
- * @reviewer                           SRID(shobhit.v)
- * @type                                       auto
- * @since_tizen                        6.0
- * @description                                Sets a motion capture file and its pose
- *mapping file to the pose.
- * @scenario                           This function is used to set a motion
- *capture file and its pose mapping file
- * @apicovered                         mv_pose_set_from_file
- * @passcase                           If mv_pose_set_from_file and Precondition
- *API's returns MEDIA_VISION_ERROR_NONE
- * @failcase                           If Precondition API or Target API Fails
- * @precondition                       NA
- * @postcondition                      NA
- * */
-//& type: auto
-//& purpose: To set a motion capture file and its pose mapping file to the pose.
-int ITc_mediavision_mv_pose_set_from_file_p(void)
-{
-       START_TEST_INFERENCE;
-       int nRet = -1;
-       mv_pose_h hPoseHandle = NULL;
-
-       nRet = mv_pose_create(&hPoseHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_pose_create", MediaVisionGetError(nRet));
-
-       char pszPoseMocapFilename[PATHLEN];
-       char pszPoseMocapMappingFilename[PATHLEN];
-       snprintf(pszPoseMocapFilename, PATHLEN, "%s/models/%s", gInferenceExampleDir, "pld_mocap.bvh");
-       snprintf(pszPoseMocapMappingFilename, PATHLEN, "%s/models/%s", gInferenceExampleDir, "pld_mocap_mapping.txt");
-
-       nRet = mv_pose_set_from_file(hPoseHandle, pszPoseMocapFilename, pszPoseMocapMappingFilename);
-       PRINT_RESULT_CLEANUP(MEDIA_VISION_ERROR_NONE, nRet, "mv_pose_set_from_file", MediaVisionGetError(nRet),
-                                                mv_pose_destroy(hPoseHandle));
-
-       nRet = mv_pose_destroy(hPoseHandle);
-       PRINT_RESULT_NORETURN(MEDIA_VISION_ERROR_NONE, nRet, "mv_pose_destroy", MediaVisionGetError(nRet));
-
-       return 0;
-}
-
-/**
- * @testcase                           ITc_mediavision_mv_pose_compare_p
- * @author                                     SRID(priya.kohli)
- * @reviewer                           SRID(shobhit.v)
- * @type                                       auto
- * @since_tizen                        6.0
- * @description                                Compares an action pose with the pose
- *which is set by mv_pose_set_from_file().
- * @scenario                           This function is used to compare action pose
- *with the pose which is set by mv_pose_set_from_file(). Parts to be compared
- *can be selected by #mv_inference_human_body_part_e. Their similarity will be
- *given by the score between 0 ~ 1.
- * @apicovered                         mv_pose_compare
- * @passcase                           If mv_pose_compare and Precondition API's
- *returns MEDIA_VISION_ERROR_NONE
- * @failcase                           If Precondition API or Target API Fails
- * @precondition                       NA
- * @postcondition                      NA
- * */
-//& type: auto
-//& purpose: To compare an action pose with the pose which is set by
-//mv_pose_set_from_file().
-int ITc_mediavision_mv_pose_compare_p(void)
-{
-       START_TEST_INFERENCE;
-       int nRet = -1;
-       g_nRetVal = -1;
-       g_bResultNumber = -1;
-       char pszImageFileName[PATHLEN];
-
-       nRet = SetPoseLandmarkDetectionEngineConfig(gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "SetPoseLandmarkDetectionEngineConfig", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_configure(gInferenceHandle, gEngineConfigHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_configure", MediaVisionGetError(nRet));
-
-       nRet = mv_inference_prepare(gInferenceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_prepare", MediaVisionGetError(nRet));
-
-       snprintf(pszImageFileName, PATHLEN, "%s/images/%s", gInferenceExampleDir, "poseLandmark.jpg");
-       nRet = image_load(pszImageFileName, gSourceHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "image_load", MediaVisionGetError(nRet));
-
-       mv_pose_h hPoseHandle = NULL;
-       nRet = mv_pose_create(&hPoseHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_pose_create", MediaVisionGetError(nRet));
-
-       char pszPoseMocapFilename[PATHLEN];
-       char pszPoseMocapMappingFilename[PATHLEN];
-       snprintf(pszPoseMocapFilename, PATHLEN, "%s/models/%s", gInferenceExampleDir, "pld_mocap.bvh");
-       snprintf(pszPoseMocapMappingFilename, PATHLEN, "%s/models/%s", gInferenceExampleDir, "pld_mocap_mapping.txt");
-
-       nRet = mv_pose_set_from_file(hPoseHandle, pszPoseMocapFilename, pszPoseMocapMappingFilename);
-       PRINT_RESULT_CLEANUP(MEDIA_VISION_ERROR_NONE, nRet, "mv_pose_set_from_file", MediaVisionGetError(nRet),
-                                                mv_pose_destroy(hPoseHandle));
-
-       g_CallBackHit = false;
-       nRet = mv_inference_pose_landmark_detect(gSourceHandle, gInferenceHandle, NULL, PoseCompareCB, hPoseHandle);
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, nRet, "mv_inference_pose_landmark_detect", MediaVisionGetError(nRet));
-       PRINT_RESULT(true, g_CallBackHit, "mv_inference_pose_landmark_detect", MediaVisionGetError(nRet));
-       PRINT_RESULT(MEDIA_VISION_ERROR_NONE, g_nRetVal, "mv_pose_compare", MediaVisionGetError(nRet));
-       assert_gt(g_PoseCompareScore, 0.5);
-
-       if (g_PoseCompareScore <= 0.5) {
-               FPRINTF("[Line : %d][%s] Invalid value of  g_PoseCompareScore, "
-                               "g_PoseCompareScore = %f \n",
-                               __LINE__, API_NAMESPACE, g_PoseCompareScore);
-               return 1;
-       }
-
-       nRet = mv_pose_destroy(hPoseHandle);
-       PRINT_RESULT_NORETURN(MEDIA_VISION_ERROR_NONE, nRet, "mv_pose_destroy", MediaVisionGetError(nRet));
-
-       return 0;
-}
index a5a91bc0c6e9f8888909df257a28642fc18f706c..4b4051ec1f9918d1b9c281d2a69f919e1b71fa04 100644 (file)
 #include "tct_common.h"
 #include "testcase.h"
 
-extern void ITs_media_vision_inference_startup(void);
-extern void ITs_media_vision_inference_cleanup(void);
 extern void ITs_media_vision_face_recognition_startup(void);
 extern void ITs_media_vision_face_recognition_cleanup(void);
 
-extern int ITc_mediavision_mv_inference_create_destroy_p(void);
-extern int ITc_mediavision_mv_inference_configure_p(void);
-extern int ITc_mediavision_mv_inference_prepare_p(void);
-extern int ITc_mediavision_mv_inference_foreach_supported_engine_p(void);
-extern int ITc_mediavision_mv_inference_image_classify_p(void);
-extern int ITc_mediavision_mv_inference_object_detect_p(void);
-extern int ITc_mediavision_mv_inference_face_detect_p(void);
-extern int ITc_mediavision_mv_inference_facial_landmark_detect_p(void);
-extern int ITc_mediavision_mv_inference_pose_landmark_detect_p(void);
-extern int ITc_mediavision_mv_inference_get_number_of_poses_p(void);
-extern int ITc_mediavision_mv_inference_get_number_of_landmarks_p(void);
-extern int ITc_mediavision_mv_inference_get_landmark_p(void);
-extern int ITc_mediavision_mv_inference_pose_get_label_p(void);
-extern int ITc_mediavision_mv_engine_set_get_array_string_attribute_p(void);
-
 extern int ITc_mv_face_recognition_create_destroy_p(void);
 extern int ITc_mv_face_recognition_prepare_p(void);
 extern int ITc_mv_face_recognition_register_unregister_p(void);
 extern int ITc_mv_face_recognition_inference_p(void);
 
-extern int ITc_mediavision_mv_pose_create_destroy_p(void);
-extern int ITc_mediavision_mv_pose_set_from_file_p(void);
-extern int ITc_mediavision_mv_pose_compare_p(void);
-
 extern int ITc_mv_image_classification_create_destroy_p(void);
 extern int ITc_mv_image_classification_configure_prepare_p(void);
 extern int ITc_mv_image_classification_inference_p(void);
@@ -79,23 +58,6 @@ extern int ITc_mv_object_detection_inference_async_p(void);
 extern int ITc_mv_object_detection_get_result_count_bound_box_p(void);
 
 testcase tc_array[] = {
-       { "ITc_mediavision_mv_inference_create_destroy_p", ITc_mediavision_mv_inference_create_destroy_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_configure_p", ITc_mediavision_mv_inference_configure_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_prepare_p", ITc_mediavision_mv_inference_prepare_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_foreach_supported_engine_p", ITc_mediavision_mv_inference_foreach_supported_engine_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_image_classify_p", ITc_mediavision_mv_inference_image_classify_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_object_detect_p", ITc_mediavision_mv_inference_object_detect_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_face_detect_p", ITc_mediavision_mv_inference_face_detect_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_facial_landmark_detect_p", ITc_mediavision_mv_inference_facial_landmark_detect_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_pose_landmark_detect_p", ITc_mediavision_mv_inference_pose_landmark_detect_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_get_number_of_poses_p", ITc_mediavision_mv_inference_get_number_of_poses_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_get_number_of_landmarks_p", ITc_mediavision_mv_inference_get_number_of_landmarks_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_get_landmark_p", ITc_mediavision_mv_inference_get_landmark_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_engine_set_get_array_string_attribute_p", ITc_mediavision_mv_engine_set_get_array_string_attribute_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_pose_get_label_p", ITc_mediavision_mv_inference_pose_get_label_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_pose_create_destroy_p", ITc_mediavision_mv_pose_create_destroy_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_pose_set_from_file_p", ITc_mediavision_mv_pose_set_from_file_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_pose_compare_p", ITc_mediavision_mv_pose_compare_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
        { "ITc_mv_face_recognition_create_destroy_p", ITc_mv_face_recognition_create_destroy_p, ITs_media_vision_face_recognition_startup, ITs_media_vision_face_recognition_cleanup },
        { "ITc_mv_face_recognition_prepare_p", ITc_mv_face_recognition_prepare_p, ITs_media_vision_face_recognition_startup, ITs_media_vision_face_recognition_cleanup },
        { "ITc_mv_face_recognition_register_unregister_p", ITc_mv_face_recognition_register_unregister_p, ITs_media_vision_face_recognition_startup, ITs_media_vision_face_recognition_cleanup },
index f50a71cd95c125449e937be627bb5f427e965e25..f9e5d9ac967a41ff6443f99b631bc9aea8757722 100644 (file)
@@ -19,8 +19,6 @@
 #include "tct_common.h"
 #include "testcase.h"
 
-extern void ITs_media_vision_inference_startup(void);
-extern void ITs_media_vision_inference_cleanup(void);
 extern void ITs_media_vision_face_recognition_startup(void);
 extern void ITs_media_vision_face_recognition_cleanup(void);
 
@@ -35,30 +33,11 @@ extern void ITs_media_vision_pose_landmark_cleanup(void);
 extern void ITs_media_vision_object_detection_startup(void);
 extern void ITs_media_vision_object_detection_cleanup(void);
 
-extern int ITc_mediavision_mv_inference_create_destroy_p(void);
-extern int ITc_mediavision_mv_inference_configure_p(void);
-extern int ITc_mediavision_mv_inference_prepare_p(void);
-extern int ITc_mediavision_mv_inference_foreach_supported_engine_p(void);
-extern int ITc_mediavision_mv_inference_image_classify_p(void);
-extern int ITc_mediavision_mv_inference_object_detect_p(void);
-extern int ITc_mediavision_mv_inference_face_detect_p(void);
-extern int ITc_mediavision_mv_inference_facial_landmark_detect_p(void);
-extern int ITc_mediavision_mv_inference_pose_landmark_detect_p(void);
-extern int ITc_mediavision_mv_inference_get_number_of_poses_p(void);
-extern int ITc_mediavision_mv_inference_get_number_of_landmarks_p(void);
-extern int ITc_mediavision_mv_inference_get_landmark_p(void);
-extern int ITc_mediavision_mv_inference_pose_get_label_p(void);
-extern int ITc_mediavision_mv_engine_set_get_array_string_attribute_p(void);
-
 extern int ITc_mv_face_recognition_create_destroy_p(void);
 extern int ITc_mv_face_recognition_prepare_p(void);
 extern int ITc_mv_face_recognition_register_unregister_p(void);
 extern int ITc_mv_face_recognition_inference_p(void);
 
-extern int ITc_mediavision_mv_pose_create_destroy_p(void);
-extern int ITc_mediavision_mv_pose_set_from_file_p(void);
-extern int ITc_mediavision_mv_pose_compare_p(void);
-
 extern int ITc_mv_image_classification_create_destroy_p(void);
 extern int ITc_mv_image_classification_configure_prepare_p(void);
 extern int ITc_mv_image_classification_inference_p(void);
@@ -90,23 +69,6 @@ extern int ITc_mv_object_detection_inference_async_p(void);
 extern int ITc_mv_object_detection_get_result_count_bound_box_p(void);
 
 testcase tc_array[] = {
-       { "ITc_mediavision_mv_inference_create_destroy_p", ITc_mediavision_mv_inference_create_destroy_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_configure_p", ITc_mediavision_mv_inference_configure_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_prepare_p", ITc_mediavision_mv_inference_prepare_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_foreach_supported_engine_p", ITc_mediavision_mv_inference_foreach_supported_engine_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_image_classify_p", ITc_mediavision_mv_inference_image_classify_p,ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_object_detect_p", ITc_mediavision_mv_inference_object_detect_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_face_detect_p", ITc_mediavision_mv_inference_face_detect_p, ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_facial_landmark_detect_p", ITc_mediavision_mv_inference_facial_landmark_detect_p,ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_pose_landmark_detect_p", ITc_mediavision_mv_inference_pose_landmark_detect_p,ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_get_number_of_poses_p", ITc_mediavision_mv_inference_get_number_of_poses_p,ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_get_number_of_landmarks_p", ITc_mediavision_mv_inference_get_number_of_landmarks_p,ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_get_landmark_p", ITc_mediavision_mv_inference_get_landmark_p,ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_pose_get_label_p", ITc_mediavision_mv_inference_pose_get_label_p,ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_engine_set_get_array_string_attribute_p",ITc_mediavision_mv_engine_set_get_array_string_attribute_p, ITs_media_vision_inference_startup,ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_pose_create_destroy_p", ITc_mediavision_mv_pose_create_destroy_p,ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_pose_set_from_file_p", ITc_mediavision_mv_pose_set_from_file_p,ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_pose_compare_p", ITc_mediavision_mv_pose_compare_p, ITs_media_vision_inference_startup,ITs_media_vision_inference_cleanup },
        { "ITc_mv_face_recognition_create_destroy_p", ITc_mv_face_recognition_create_destroy_p,ITs_media_vision_face_recognition_startup, ITs_media_vision_face_recognition_cleanup },
        { "ITc_mv_face_recognition_prepare_p", ITc_mv_face_recognition_prepare_p, ITs_media_vision_face_recognition_startup,ITs_media_vision_face_recognition_cleanup },
        { "ITc_mv_face_recognition_register_unregister_p", ITc_mv_face_recognition_register_unregister_p,ITs_media_vision_face_recognition_startup, ITs_media_vision_face_recognition_cleanup },
index e058cbf4e4866af454e7b138428b5f3fad43e797..3e358ee727508a50da040622a2434ae49956f9ad 100644 (file)
 #include "tct_common.h"
 #include "testcase.h"
 
-extern void ITs_media_vision_inference_startup(void);
-extern void ITs_media_vision_inference_cleanup(void);
-extern void ITs_media_vision_face_recognition_startup(void);
-extern void ITs_media_vision_face_recognition_cleanup(void);
-
-extern int ITc_mediavision_mv_inference_create_destroy_p(void);
-extern int ITc_mediavision_mv_inference_configure_p(void);
-extern int ITc_mediavision_mv_inference_prepare_p(void);
-extern int ITc_mediavision_mv_inference_foreach_supported_engine_p(void);
-extern int ITc_mediavision_mv_inference_image_classify_p(void);
-extern int ITc_mediavision_mv_inference_object_detect_p(void);
-extern int ITc_mediavision_mv_inference_face_detect_p(void);
-extern int ITc_mediavision_mv_inference_facial_landmark_detect_p(void);
-extern int ITc_mediavision_mv_inference_pose_landmark_detect_p(void);
-extern int ITc_mediavision_mv_inference_get_number_of_poses_p(void);
-extern int ITc_mediavision_mv_inference_get_number_of_landmarks_p(void);
-extern int ITc_mediavision_mv_inference_get_landmark_p(void);
-extern int ITc_mediavision_mv_inference_pose_get_label_p(void);
-extern int ITc_mediavision_mv_engine_set_get_array_string_attribute_p(void);
-extern int ITc_mediavision_mv_pose_create_destroy_p(void);
-extern int ITc_mediavision_mv_pose_set_from_file_p(void);
-extern int ITc_mediavision_mv_pose_compare_p(void);
-
-testcase tc_array[] = {
-       { "ITc_mediavision_mv_inference_create_destroy_p", ITc_mediavision_mv_inference_create_destroy_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_configure_p", ITc_mediavision_mv_inference_configure_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_prepare_p", ITc_mediavision_mv_inference_prepare_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_foreach_supported_engine_p",
-         ITc_mediavision_mv_inference_foreach_supported_engine_p, ITs_media_vision_inference_startup,
-         ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_image_classify_p", ITc_mediavision_mv_inference_image_classify_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_object_detect_p", ITc_mediavision_mv_inference_object_detect_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_face_detect_p", ITc_mediavision_mv_inference_face_detect_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_facial_landmark_detect_p", ITc_mediavision_mv_inference_facial_landmark_detect_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_pose_landmark_detect_p", ITc_mediavision_mv_inference_pose_landmark_detect_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_get_number_of_poses_p", ITc_mediavision_mv_inference_get_number_of_poses_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_get_number_of_landmarks_p", ITc_mediavision_mv_inference_get_number_of_landmarks_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_get_landmark_p", ITc_mediavision_mv_inference_get_landmark_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_pose_get_label_p", ITc_mediavision_mv_inference_pose_get_label_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_engine_set_get_array_string_attribute_p",
-         ITc_mediavision_mv_engine_set_get_array_string_attribute_p, ITs_media_vision_inference_startup,
-         ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_pose_create_destroy_p", ITc_mediavision_mv_pose_create_destroy_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_pose_set_from_file_p", ITc_mediavision_mv_pose_set_from_file_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_pose_compare_p", ITc_mediavision_mv_pose_compare_p, ITs_media_vision_inference_startup,
-         ITs_media_vision_inference_cleanup },
-       { NULL, NULL }
-};
+testcase tc_array[] = {        { NULL, NULL } };
 #endif // __TCT_MEDIA_VISION_NATIVE_H__
index bf1a3c6600c060442746a98c60a0e95605bbe656..4db6d427fc295e2a842692c23bd220b58bffc099 100644 (file)
 #include "tct_common.h"
 #include "testcase.h"
 
-extern void ITs_media_vision_inference_startup(void);
-extern void ITs_media_vision_inference_cleanup(void);
 extern void ITs_media_vision_face_recognition_startup(void);
 extern void ITs_media_vision_face_recognition_cleanup(void);
 
-extern int ITc_mediavision_mv_inference_create_destroy_p(void);
-extern int ITc_mediavision_mv_inference_configure_p(void);
-extern int ITc_mediavision_mv_inference_prepare_p(void);
-extern int ITc_mediavision_mv_inference_foreach_supported_engine_p(void);
-extern int ITc_mediavision_mv_inference_image_classify_p(void);
-extern int ITc_mediavision_mv_inference_object_detect_p(void);
-extern int ITc_mediavision_mv_inference_face_detect_p(void);
-extern int ITc_mediavision_mv_inference_facial_landmark_detect_p(void);
-extern int ITc_mediavision_mv_inference_pose_landmark_detect_p(void);
-extern int ITc_mediavision_mv_inference_get_number_of_poses_p(void);
-extern int ITc_mediavision_mv_inference_get_number_of_landmarks_p(void);
-extern int ITc_mediavision_mv_inference_get_landmark_p(void);
-extern int ITc_mediavision_mv_inference_pose_get_label_p(void);
-
 extern int ITc_mv_face_recognition_create_destroy_p(void);
 extern int ITc_mv_face_recognition_prepare_p(void);
 extern int ITc_mv_face_recognition_register_unregister_p(void);
 extern int ITc_mv_face_recognition_inference_p(void);
 
-extern int ITc_mediavision_mv_pose_create_destroy_p(void);
-extern int ITc_mediavision_mv_pose_set_from_file_p(void);
-extern int ITc_mediavision_mv_pose_compare_p(void);
 
 testcase tc_array[] = {
-       { "ITc_mediavision_mv_inference_create_destroy_p", ITc_mediavision_mv_inference_create_destroy_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_configure_p", ITc_mediavision_mv_inference_configure_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_prepare_p", ITc_mediavision_mv_inference_prepare_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_foreach_supported_engine_p",
-         ITc_mediavision_mv_inference_foreach_supported_engine_p, ITs_media_vision_inference_startup,
-         ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_image_classify_p", ITc_mediavision_mv_inference_image_classify_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_object_detect_p", ITc_mediavision_mv_inference_object_detect_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_face_detect_p", ITc_mediavision_mv_inference_face_detect_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_facial_landmark_detect_p", ITc_mediavision_mv_inference_facial_landmark_detect_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_pose_landmark_detect_p", ITc_mediavision_mv_inference_pose_landmark_detect_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_get_number_of_poses_p", ITc_mediavision_mv_inference_get_number_of_poses_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_get_number_of_landmarks_p", ITc_mediavision_mv_inference_get_number_of_landmarks_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_get_landmark_p", ITc_mediavision_mv_inference_get_landmark_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_inference_pose_get_label_p", ITc_mediavision_mv_inference_pose_get_label_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_pose_create_destroy_p", ITc_mediavision_mv_pose_create_destroy_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_pose_set_from_file_p", ITc_mediavision_mv_pose_set_from_file_p,
-         ITs_media_vision_inference_startup, ITs_media_vision_inference_cleanup },
-       { "ITc_mediavision_mv_pose_compare_p", ITc_mediavision_mv_pose_compare_p, ITs_media_vision_inference_startup,
-         ITs_media_vision_inference_cleanup },
        { "ITc_mv_face_recognition_create_destroy_p", ITc_mv_face_recognition_create_destroy_p,
          ITs_media_vision_face_recognition_startup, ITs_media_vision_face_recognition_cleanup },
        { "ITc_mv_face_recognition_prepare_p", ITc_mv_face_recognition_prepare_p, ITs_media_vision_face_recognition_startup,