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/**
* Copyright (c) 2023 Samsung Electronics Co., Ltd All Rights Reserved
*
* 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 "mv_private.h"
#include "mv_feature_key.h"
#include "ITask.h"
#include "mv_facial_landmark_internal.h"
#include "FacialLandmarkAdapter.h"
#include "MvMlException.h"
#include "native_capi.h"
#include "landmark_detection_type.h"
#include "Context.h"
#include <new>
#include <unistd.h>
#include <string>
#include <algorithm>
#define TASK_NAME "facial_landmark"
using namespace std;
using namespace mediavision::inference;
using namespace mediavision::common;
using namespace mediavision::machine_learning;
using namespace MediaVision::Common;
using namespace mediavision::machine_learning::exception;
static const char *feature_keys[] = { "http://tizen.org/feature/vision.inference.image",
"http://tizen.org/feature/vision.inference.face" };
static const size_t num_keys = sizeof(feature_keys) / sizeof(char *);
int mv_facial_landmark_create(mv_facial_landmark_h *handle)
{
MEDIA_VISION_SUPPORT_CHECK(mv_check_feature_key(feature_keys, num_keys, true));
MEDIA_VISION_NULL_ARG_CHECK(handle);
MEDIA_VISION_FUNCTION_ENTER();
mv_facial_landmark_h ctx = nullptr;
try {
ctx = machine_learning_native_create();
machine_learning_native_add(ctx, TASK_NAME, new FacialLandmarkAdapter());
} catch (const BaseException &e) {
LOGE("%s", e.what());
return e.getError();
}
*handle = ctx;
MEDIA_VISION_FUNCTION_LEAVE();
return MEDIA_VISION_ERROR_NONE;
}
int mv_facial_landmark_destroy(mv_facial_landmark_h handle)
{
MEDIA_VISION_SUPPORT_CHECK(mv_check_feature_key(feature_keys, num_keys, true));
MEDIA_VISION_INSTANCE_CHECK(handle);
MEDIA_VISION_FUNCTION_ENTER();
machine_learning_native_destroy(handle);
MEDIA_VISION_FUNCTION_LEAVE();
return MEDIA_VISION_ERROR_NONE;
}
int mv_facial_landmark_set_model(mv_facial_landmark_h handle, const char *model_name, const char *model_file,
const char *meta_file, const char *label_file)
{
MEDIA_VISION_SUPPORT_CHECK(mv_check_feature_key(feature_keys, num_keys, true));
MEDIA_VISION_INSTANCE_CHECK(handle);
MEDIA_VISION_INSTANCE_CHECK(model_name);
MEDIA_VISION_NULL_ARG_CHECK(model_file);
MEDIA_VISION_NULL_ARG_CHECK(meta_file);
MEDIA_VISION_NULL_ARG_CHECK(label_file);
MEDIA_VISION_FUNCTION_ENTER();
try {
machine_learning_native_set_model(handle, TASK_NAME, model_file, meta_file, label_file, model_name);
} catch (const BaseException &e) {
LOGE("%s", e.what());
return e.getError();
}
MEDIA_VISION_FUNCTION_LEAVE();
return MEDIA_VISION_ERROR_NONE;
}
int mv_facial_landmark_set_engine(mv_facial_landmark_h handle, const char *backend_type, const char *device_type)
{
MEDIA_VISION_SUPPORT_CHECK(mv_check_feature_key(feature_keys, num_keys, true));
MEDIA_VISION_INSTANCE_CHECK(handle);
MEDIA_VISION_NULL_ARG_CHECK(backend_type);
MEDIA_VISION_NULL_ARG_CHECK(device_type);
MEDIA_VISION_FUNCTION_ENTER();
try {
machine_learning_native_set_engine(handle, TASK_NAME, backend_type, device_type);
} catch (const BaseException &e) {
LOGE("%s", e.what());
return e.getError();
}
MEDIA_VISION_FUNCTION_LEAVE();
return MEDIA_VISION_ERROR_NONE;
}
int mv_facial_landmark_get_engine_count(mv_facial_landmark_h handle, unsigned int *engine_count)
{
MEDIA_VISION_SUPPORT_CHECK(mv_check_feature_key(feature_keys, num_keys, true));
MEDIA_VISION_INSTANCE_CHECK(handle);
MEDIA_VISION_NULL_ARG_CHECK(engine_count);
MEDIA_VISION_FUNCTION_ENTER();
try {
machine_learning_native_get_engine_count(handle, TASK_NAME, engine_count);
} catch (const BaseException &e) {
LOGE("%s", e.what());
return e.getError();
}
MEDIA_VISION_FUNCTION_LEAVE();
return MEDIA_VISION_ERROR_NONE;
}
int mv_facial_landmark_get_engine_type(mv_facial_landmark_h handle, const unsigned int engine_index, char **engine_type)
{
MEDIA_VISION_SUPPORT_CHECK(mv_check_feature_key(feature_keys, num_keys, true));
MEDIA_VISION_INSTANCE_CHECK(handle);
MEDIA_VISION_NULL_ARG_CHECK(engine_type);
MEDIA_VISION_FUNCTION_ENTER();
try {
machine_learning_native_get_engine_type(handle, TASK_NAME, engine_index, engine_type);
} catch (const BaseException &e) {
LOGE("%s", e.what());
return e.getError();
}
MEDIA_VISION_FUNCTION_LEAVE();
return MEDIA_VISION_ERROR_NONE;
}
int mv_facial_landmark_get_device_count(mv_facial_landmark_h handle, const char *engine_type,
unsigned int *device_count)
{
MEDIA_VISION_SUPPORT_CHECK(mv_check_feature_key(feature_keys, num_keys, true));
MEDIA_VISION_INSTANCE_CHECK(handle);
MEDIA_VISION_NULL_ARG_CHECK(device_count);
MEDIA_VISION_FUNCTION_ENTER();
try {
machine_learning_native_get_device_count(handle, TASK_NAME, engine_type, device_count);
} catch (const BaseException &e) {
LOGE("%s", e.what());
return e.getError();
}
MEDIA_VISION_FUNCTION_LEAVE();
return MEDIA_VISION_ERROR_NONE;
}
int mv_facial_landmark_get_device_type(mv_facial_landmark_h handle, const char *engine_type,
const unsigned int device_index, char **device_type)
{
MEDIA_VISION_SUPPORT_CHECK(mv_check_feature_key(feature_keys, num_keys, true));
MEDIA_VISION_INSTANCE_CHECK(handle);
MEDIA_VISION_NULL_ARG_CHECK(engine_type);
MEDIA_VISION_NULL_ARG_CHECK(device_type);
MEDIA_VISION_FUNCTION_ENTER();
try {
machine_learning_native_get_device_type(handle, TASK_NAME, engine_type, device_index, device_type);
} catch (const BaseException &e) {
LOGE("%s", e.what());
return e.getError();
}
MEDIA_VISION_FUNCTION_LEAVE();
return MEDIA_VISION_ERROR_NONE;
}
int mv_facial_landmark_configure(mv_facial_landmark_h handle)
{
MEDIA_VISION_SUPPORT_CHECK(mv_check_feature_key(feature_keys, num_keys, true));
MEDIA_VISION_INSTANCE_CHECK(handle);
MEDIA_VISION_FUNCTION_ENTER();
try {
machine_learning_native_configure(handle, TASK_NAME);
} catch (const BaseException &e) {
LOGE("%s", e.what());
return e.getError();
}
MEDIA_VISION_FUNCTION_LEAVE();
return MEDIA_VISION_ERROR_NONE;
}
int mv_facial_landmark_prepare(mv_facial_landmark_h handle)
{
MEDIA_VISION_SUPPORT_CHECK(mv_check_feature_key(feature_keys, num_keys, true));
MEDIA_VISION_INSTANCE_CHECK(handle);
MEDIA_VISION_FUNCTION_ENTER();
try {
machine_learning_native_prepare(handle, TASK_NAME);
} catch (const BaseException &e) {
LOGE("%s", e.what());
return e.getError();
}
MEDIA_VISION_FUNCTION_LEAVE();
return MEDIA_VISION_ERROR_NONE;
}
int mv_facial_landmark_inference(mv_facial_landmark_h handle, mv_source_h source)
{
MEDIA_VISION_SUPPORT_CHECK(mv_check_feature_key(feature_keys, num_keys, true));
MEDIA_VISION_INSTANCE_CHECK(handle);
MEDIA_VISION_INSTANCE_CHECK(source);
MEDIA_VISION_FUNCTION_ENTER();
try {
LandmarkDetectionInput input(source);
machine_learning_native_inference(handle, TASK_NAME, input);
} catch (const BaseException &e) {
LOGE("%s", e.what());
return e.getError();
}
MEDIA_VISION_FUNCTION_LEAVE();
return MEDIA_VISION_ERROR_NONE;
}
int mv_facial_landmark_inference_async(mv_facial_landmark_h handle, mv_source_h source)
{
MEDIA_VISION_SUPPORT_CHECK(mv_check_feature_key(feature_keys, num_keys, true));
MEDIA_VISION_INSTANCE_CHECK(handle);
MEDIA_VISION_INSTANCE_CHECK(source);
MEDIA_VISION_FUNCTION_ENTER();
try {
LandmarkDetectionInput input(source);
machine_learning_native_inference_async(handle, TASK_NAME, input);
} catch (const BaseException &e) {
LOGE("%s", e.what());
return e.getError();
}
MEDIA_VISION_FUNCTION_LEAVE();
return MEDIA_VISION_ERROR_NONE;
}
int mv_facial_landmark_get_result_count(mv_facial_landmark_h handle, unsigned long *frame_number,
unsigned int *result_cnt)
{
MEDIA_VISION_SUPPORT_CHECK(mv_check_feature_key(feature_keys, num_keys, true));
MEDIA_VISION_INSTANCE_CHECK(handle);
MEDIA_VISION_INSTANCE_CHECK(frame_number);
MEDIA_VISION_INSTANCE_CHECK(result_cnt);
MEDIA_VISION_FUNCTION_ENTER();
try {
auto &result = static_cast<LandmarkDetectionResult &>(machine_learning_native_get_result(handle, TASK_NAME));
*frame_number = result.frame_number;
*result_cnt = result.number_of_landmarks;
} catch (const BaseException &e) {
LOGE("%s", e.what());
return e.getError();
}
MEDIA_VISION_FUNCTION_LEAVE();
return MEDIA_VISION_ERROR_NONE;
}
int mv_facial_landmark_get_position(mv_facial_landmark_h handle, unsigned int index, unsigned int *pos_x,
unsigned int *pos_y)
{
MEDIA_VISION_SUPPORT_CHECK(mv_check_feature_key(feature_keys, num_keys, true));
MEDIA_VISION_INSTANCE_CHECK(handle);
MEDIA_VISION_INSTANCE_CHECK(pos_x);
MEDIA_VISION_INSTANCE_CHECK(pos_y);
MEDIA_VISION_FUNCTION_ENTER();
try {
auto &result =
static_cast<LandmarkDetectionResult &>(machine_learning_native_get_result_cache(handle, TASK_NAME));
if (index >= result.number_of_landmarks) {
LOGE("Invalid index(index = %u, result count = %u).", index, result.number_of_landmarks);
return MEDIA_VISION_ERROR_INVALID_PARAMETER;
}
*pos_x = result.x_pos[index];
*pos_y = result.y_pos[index];
} catch (const BaseException &e) {
LOGE("%s", e.what());
return e.getError();
}
MEDIA_VISION_FUNCTION_LEAVE();
return MEDIA_VISION_ERROR_NONE;
}
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