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https://github.com/PaddlePaddle/FastDeploy.git
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7dc15e4a77
* Add Huawei Ascend NPU deploy through PaddleLite CANN * Add NNAdapter interface for paddlelite * Modify Huawei Ascend Cmake * Update way for compiling Huawei Ascend NPU deployment * remove UseLiteBackend in UseCANN * Support compile python whlee * Change names of nnadapter API * Add nnadapter pybind and remove useless API * Support Python deployment on Huawei Ascend NPU * Fix links in readme * Fix links in readme * Update PPOCRv2/v3 examples * Update auto compression configs * Add neww quantization support for paddleclas model * Update quantized Yolov6s model download link * Improve PPOCR comments * Add models suppor for ascend * Add PPOCR rec reszie for ascend * fix conflict for ascend * Rename CANN to Ascend * Rename CANN to Ascend * Improve ascend * fix ascend bug * improve ascend docs * improve ascend docs * improve ascend docs * Add English doc for quantization * Improve Ascend * Improve Ascend * Move ascend python demo * Imporve ascend * Fix PPOCR rec model bug * Improve ascend * Improve ascend * Improve ascend * Improve ascend * Add new paddleseg quantization support * Add new paddleseg quantization support * Add new paddleseg quantization support * Add new paddleseg quantization support * Imporve ascend * Imporve ascend * Improve ascend * acc eval script * acc eval * remove acc_eval from branch huawei * Add detection and segmentation examples for Ascend deployment * Add detection and segmentation examples for Ascend deployment * Add Ascend model list * Add ascend model list * Add ascend model list * Add ascend model list * Add ascend model list * Add ascend model list * Add ascend model list * Add PPOCR example for ascend deploy * Imporve paddle lite compiliation * Add FlyCV doc * Add FlyCV doc * Add FlyCV doc * Imporve Ascend docs * Imporve Ascend docs * Improve PPOCR example * Support Ascend deployment on X86 platform * Improve Ascend docs * Improve ascend * Improve ascend * Change Paddle Lite Ascend URL * fix ascend docs * fix ascend docs * Fix Paddle Lite Ascend Lib * Imporve compile of Ascend * Imporve compile of Ascend * fix paddle lite compile * Remove useless opencv code for ocr
90 lines
2.6 KiB
C++
90 lines
2.6 KiB
C++
// Copyright (c) 2020 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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#pragma once
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#include <iomanip>
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#include <iostream>
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#include <map>
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#include <ostream>
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#include <vector>
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#include "opencv2/core.hpp"
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#include "opencv2/imgproc.hpp"
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#include <cstring>
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#include <fstream>
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#include <numeric>
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#include "fastdeploy/vision/ocr/ppocr/utils/clipper.h"
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namespace fastdeploy {
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namespace vision {
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namespace ocr {
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class PostProcessor {
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public:
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void GetContourArea(const std::vector<std::vector<float>> &box,
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float unclip_ratio, float &distance);
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cv::RotatedRect UnClip(std::vector<std::vector<float>> box,
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const float &unclip_ratio);
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float **Mat2Vec(cv::Mat mat);
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std::vector<std::vector<int>> OrderPointsClockwise(
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std::vector<std::vector<int>> pts);
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std::vector<std::vector<float>> GetMiniBoxes(cv::RotatedRect box,
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float &ssid);
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float BoxScoreFast(std::vector<std::vector<float>> box_array, cv::Mat pred);
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float PolygonScoreAcc(std::vector<cv::Point> contour, cv::Mat pred);
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std::vector<std::vector<std::vector<int>>> BoxesFromBitmap(
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const cv::Mat pred, const cv::Mat bitmap, const float &box_thresh,
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const float &det_db_unclip_ratio, const std::string &det_db_score_mode);
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std::vector<std::vector<std::vector<int>>> FilterTagDetRes(
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std::vector<std::vector<std::vector<int>>> boxes,
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const std::array<int, 4>& det_img_info);
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private:
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static bool XsortInt(std::vector<int> a, std::vector<int> b);
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static bool XsortFp32(std::vector<float> a, std::vector<float> b);
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std::vector<std::vector<float>> Mat2Vector(cv::Mat mat);
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inline int _max(int a, int b) { return a >= b ? a : b; }
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inline int _min(int a, int b) { return a >= b ? b : a; }
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template <class T>
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inline T clamp(T x, T min, T max) {
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if (x > max) return max;
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if (x < min) return min;
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return x;
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}
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inline float clampf(float x, float min, float max) {
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if (x > max) return max;
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if (x < min) return min;
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return x;
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}
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};
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} // namespace ocr
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} // namespace vision
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} // namespace fastdeploy
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