Jiale/test2_ort/examples/cv/test_lite_efficient_emotion...

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//
// Created by DefTruth on 2021/7/24.
//
#include "lite/lite.h"
static void test_default()
{
std::string onnx_path = "../../../hub/onnx/cv/face-emotion-recognition-enet_b0_8_best_afew.onnx";
std::string test_img_path = "../../../examples/lite/resources/test_lite_emotion.jpg";
std::string save_img_path = "../../../logs/test_lite_emotion8.jpg";
lite::cv::face::attr::EfficientEmotion8 *efficient_emotion8 =
new lite::cv::face::attr::EfficientEmotion8(onnx_path);
lite::types::Emotions emotions;
cv::Mat img_bgr = cv::imread(test_img_path);
efficient_emotion8->detect(img_bgr, emotions);
lite::utils::draw_emotion_inplace(img_bgr, emotions);
cv::imwrite(save_img_path, img_bgr);
std::cout << "Default Version Detected Emotion: " << emotions.text
<< ": " << emotions.score << std::endl;
delete efficient_emotion8;
}
static void test_onnxruntime()
{
#ifdef ENABLE_ONNXRUNTIME
std::string onnx_path = "../../../hub/onnx/cv/face-emotion-recognition-enet_b0_8_best_afew.onnx";
std::string test_img_path = "../../../examples/lite/resources/test_lite_emotion.jpg";
std::string save_img_path = "../../../logs/test_lite_emotion8.jpg";
lite::onnxruntime::cv::face::attr::EfficientEmotion8 *efficient_emotion8 =
new lite::onnxruntime::cv::face::attr::EfficientEmotion8(onnx_path);
lite::types::Emotions emotions;
cv::Mat img_bgr = cv::imread(test_img_path);
efficient_emotion8->detect(img_bgr, emotions);
lite::utils::draw_emotion_inplace(img_bgr, emotions);
cv::imwrite(save_img_path, img_bgr);
std::cout << "ONNXRuntime Version Detected Emotion: " << emotions.text
<< ": " << emotions.score << std::endl;
delete efficient_emotion8;
#endif
}
static void test_mnn()
{
#ifdef ENABLE_MNN
std::string mnn_path = "../../../hub/mnn/cv/face-emotion-recognition-enet_b0_8_best_afew.mnn";
std::string test_img_path = "../../../examples/lite/resources/test_lite_emotion.jpg";
std::string save_img_path = "../../../logs/test_lite_emotion8_mnn.jpg";
lite::mnn::cv::face::attr::EfficientEmotion8 *efficient_emotion8 =
new lite::mnn::cv::face::attr::EfficientEmotion8(mnn_path);
lite::types::Emotions emotions;
cv::Mat img_bgr = cv::imread(test_img_path);
efficient_emotion8->detect(img_bgr, emotions);
lite::utils::draw_emotion_inplace(img_bgr, emotions);
cv::imwrite(save_img_path, img_bgr);
std::cout << "MNN Version Detected Emotion: " << emotions.text
<< ": " << emotions.score << std::endl;
delete efficient_emotion8;
#endif
}
static void test_ncnn()
{
#ifdef ENABLE_NCNN
std::string param_path = "../../../hub/ncnn/cv/face-emotion-recognition-enet_b0_8_best_afew.opt.param";
std::string bin_path = "../../../hub/ncnn/cv/face-emotion-recognition-enet_b0_8_best_afew.opt.bin";
std::string test_img_path = "../../../examples/lite/resources/test_lite_emotion.jpg";
std::string save_img_path = "../../../logs/test_lite_emotion8_ncnn.jpg";
lite::ncnn::cv::face::attr::EfficientEmotion8 *efficient_emotion8 =
new lite::ncnn::cv::face::attr::EfficientEmotion8(param_path, bin_path);
lite::types::Emotions emotions;
cv::Mat img_bgr = cv::imread(test_img_path);
efficient_emotion8->detect(img_bgr, emotions);
lite::utils::draw_emotion_inplace(img_bgr, emotions);
cv::imwrite(save_img_path, img_bgr);
std::cout << "NCNN Version Detected Emotion: " << emotions.text
<< ": " << emotions.score << std::endl;
delete efficient_emotion8;
#endif
}
static void test_tnn()
{
#ifdef ENABLE_TNN
std::string proto_path = "../../../hub/tnn/cv/face-emotion-recognition-enet_b0_8_best_afew.opt.tnnproto";
std::string model_path = "../../../hub/tnn/cv/face-emotion-recognition-enet_b0_8_best_afew.opt.tnnmodel";
std::string test_img_path = "../../../examples/lite/resources/test_lite_emotion.jpg";
std::string save_img_path = "../../../logs/test_lite_emotion8_tnn.jpg";
lite::tnn::cv::face::attr::EfficientEmotion8 *efficient_emotion8 =
new lite::tnn::cv::face::attr::EfficientEmotion8(proto_path, model_path);
lite::types::Emotions emotions;
cv::Mat img_bgr = cv::imread(test_img_path);
efficient_emotion8->detect(img_bgr, emotions);
lite::utils::draw_emotion_inplace(img_bgr, emotions);
cv::imwrite(save_img_path, img_bgr);
std::cout << "TNN Version Detected Emotion: " << emotions.text
<< ": " << emotions.score << std::endl;
delete efficient_emotion8;
#endif
}
static void test_lite()
{
test_default();
test_onnxruntime();
test_mnn();
test_ncnn();
test_tnn();
}
int main(__unused int argc, __unused char *argv[])
{
test_lite();
return 0;
}