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https://github.com/PaddlePaddle/FastDeploy.git
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b565c15bf7
* Add tinypose model * Add PPTinypose python API * Fix picodet preprocess bug && Add Tinypose examples * Update tinypose example code * Update ppseg preprocess if condition * Update ppseg backend support type * Update permute.h * Update README.md * Update code with comments * Move files dir * Delete premute.cc * Add single model pptinypose * Delete pptinypose old code in ppdet * Code format * Add ppdet + pptinypose pipeline model * Fix bug for posedetpipeline * Change Frontend to ModelFormat * Change Frontend to ModelFormat in __init__.py * Add python posedetpipeline/ * Update pptinypose example dir name * Update README.md * Update README.md * Update README.md * Update README.md * Create keypointdetection_result.md * Create README.md * Create README.md * Create README.md * Update README.md * Update README.md * Create README.md * Fix det_keypoint_unite_infer.py bug * Create README.md * Update PP-Tinypose by comment * Update by comment * Add pipeline directory * Add pptinypose dir * Update pptinypose to align accuracy * Addd warpAffine processor * Update GetCpuMat to GetOpenCVMat * Add comment for pptinypose && pipline * Update docs/main_page.md * Add README.md for pptinypose * Add README for det_keypoint_unite * Remove ENABLE_PIPELINE option * Remove ENABLE_PIPELINE option * Change pptinypose default backend * PP-TinyPose Pipeline support multi PP-Detection models * Update pp-tinypose comment * Update by comments * Add single test example Co-authored-by: Jason <jiangjiajun@baidu.com>
94 lines
4.8 KiB
C++
94 lines
4.8 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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#pragma once
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#include "fastdeploy/vision/common/result.h"
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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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// This class will deprecated, please not use it
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class FASTDEPLOY_DECL Visualize {
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public:
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static int num_classes_;
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static std::vector<int> color_map_;
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static const std::vector<int>& GetColorMap(int num_classes = 1000);
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static cv::Mat VisDetection(const cv::Mat& im, const DetectionResult& result,
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float score_threshold = 0.0, int line_size = 1,
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float font_size = 0.5f);
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static cv::Mat VisFaceDetection(const cv::Mat& im,
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const FaceDetectionResult& result,
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int line_size = 1, float font_size = 0.5f);
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static cv::Mat VisSegmentation(const cv::Mat& im,
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const SegmentationResult& result);
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static cv::Mat VisMattingAlpha(const cv::Mat& im, const MattingResult& result,
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bool remove_small_connected_area = false);
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static cv::Mat RemoveSmallConnectedArea(const cv::Mat& alpha_pred,
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float threshold);
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static cv::Mat SwapBackgroundMatting(
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const cv::Mat& im, const cv::Mat& background, const MattingResult& result,
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bool remove_small_connected_area = false);
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static cv::Mat SwapBackgroundSegmentation(const cv::Mat& im,
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const cv::Mat& background,
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int background_label,
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const SegmentationResult& result);
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static cv::Mat VisOcr(const cv::Mat& srcimg, const OCRResult& ocr_result);
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};
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std::vector<int> GenerateColorMap(int num_classes = 1000);
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cv::Mat RemoveSmallConnectedArea(const cv::Mat& alpha_pred, float threshold);
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FASTDEPLOY_DECL cv::Mat VisDetection(const cv::Mat& im,
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const DetectionResult& result,
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float score_threshold = 0.0,
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int line_size = 1, float font_size = 0.5f);
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FASTDEPLOY_DECL cv::Mat VisDetection(const cv::Mat& im,
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const DetectionResult& result,
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const std::vector<std::string>& labels,
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float score_threshold = 0.0,
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int line_size = 1, float font_size = 0.5f);
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FASTDEPLOY_DECL cv::Mat VisClassification(
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const cv::Mat& im, const ClassifyResult& result, int top_k = 5,
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float score_threshold = 0.0f, float font_size = 0.5f);
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FASTDEPLOY_DECL cv::Mat VisClassification(
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const cv::Mat& im, const ClassifyResult& result,
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const std::vector<std::string>& labels, int top_k = 5,
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float score_threshold = 0.0f, float font_size = 0.5f);
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FASTDEPLOY_DECL cv::Mat VisFaceDetection(const cv::Mat& im,
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const FaceDetectionResult& result,
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int line_size = 1,
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float font_size = 0.5f);
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FASTDEPLOY_DECL cv::Mat VisSegmentation(const cv::Mat& im,
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const SegmentationResult& result,
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float weight = 0.5);
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FASTDEPLOY_DECL cv::Mat VisMatting(const cv::Mat& im,
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const MattingResult& result,
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bool remove_small_connected_area = false);
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FASTDEPLOY_DECL cv::Mat VisOcr(const cv::Mat& im, const OCRResult& ocr_result);
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FASTDEPLOY_DECL cv::Mat SwapBackground(
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const cv::Mat& im, const cv::Mat& background, const MattingResult& result,
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bool remove_small_connected_area = false);
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FASTDEPLOY_DECL cv::Mat SwapBackground(const cv::Mat& im,
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const cv::Mat& background,
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const SegmentationResult& result,
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int background_label);
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FASTDEPLOY_DECL cv::Mat VisKeypointDetection(const cv::Mat& im,
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const KeyPointDetectionResult& results,
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float conf_threshold = 0.5f);
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} // namespace vision
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} // namespace fastdeploy
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#endif
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