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https://github.com/PaddlePaddle/FastDeploy.git
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47 lines
1.6 KiB
C++
47 lines
1.6 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#ifdef ENABLE_VISION_VISUALIZE
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#include "fastdeploy/vision/visualize/visualize.h"
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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namespace fastdeploy {
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namespace vision {
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cv::Mat Visualize::VisSegmentation(const cv::Mat& im,
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const SegmentationResult& result) {
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auto color_map = GetColorMap();
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int64_t height = result.shape[0];
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int64_t width = result.shape[1];
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auto vis_img = cv::Mat(height, width, CV_8UC3);
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int64_t index = 0;
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for (int i = 0; i < height; i++) {
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for (int j = 0; j < width; j++) {
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int category_id = result.label_map[index++];
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vis_img.at<cv::Vec3b>(i, j)[0] = color_map[3 * category_id + 0];
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vis_img.at<cv::Vec3b>(i, j)[1] = color_map[3 * category_id + 1];
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vis_img.at<cv::Vec3b>(i, j)[2] = color_map[3 * category_id + 2];
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}
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}
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cv::addWeighted(im, .5, vis_img, .5, 0, vis_img);
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return vis_img;
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}
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} // namespace vision
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} // namespace fastdeploy
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#endif
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