44 lines
1.5 KiB
C++
44 lines
1.5 KiB
C++
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//
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// Created by DefTruth on 2021/7/24.
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//
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#include "efficient_emotion7.h"
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#include "lite/ort/core/ort_utils.h"
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#include "lite/utils.h"
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using ortcv::EfficientEmotion7;
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Ort::Value EfficientEmotion7::transform(const cv::Mat &mat)
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{
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cv::Mat canvas;
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cv::resize(mat, canvas, cv::Size(input_node_dims.at(3),
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input_node_dims.at(2)));
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cv::cvtColor(canvas, canvas, cv::COLOR_BGR2RGB);
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// (1,3,224,224)
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ortcv::utils::transform::normalize_inplace(canvas, mean_vals, scale_vals);
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return ortcv::utils::transform::create_tensor(
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canvas, input_node_dims, memory_info_handler,
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input_values_handler, ortcv::utils::transform::CHW);
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}
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void EfficientEmotion7::detect(const cv::Mat &mat, types::Emotions &emotions)
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{
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if (mat.empty()) return;
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// 1. make input tensor
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Ort::Value input_tensor = this->transform(mat);
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// 2. inference
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auto output_tensors = ort_session->Run(
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Ort::RunOptions{nullptr}, input_node_names.data(),
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&input_tensor, 1, output_node_names.data(), num_outputs
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);
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Ort::Value &emotion_logits = output_tensors.at(0); // (1,7)
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auto emotion_dims = output_node_dims.at(0);
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unsigned int pred_label = 0;
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const unsigned int num_emotions = emotion_dims.at(1); // 7
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const float *pred_logits = emotion_logits.GetTensorMutableData<float>();
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auto softmax_probs = lite::utils::math::softmax<float>(pred_logits, num_emotions, pred_label);
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emotions.label = pred_label;
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emotions.score = softmax_probs[pred_label];
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emotions.text = emotion_texts[pred_label];
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emotions.flag = true;
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}
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