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python: accept path-like objects wherever file names are expected #24773 Merry Christmas, all 🎄 Implements #15731 Support is enabled for all arguments named `filename` or `filepath` (case-insensitive), or annotated with `CV_WRAP_FILE_PATH`. Support is based on `PyOS_FSPath`, which is available in Python 3.6+. When running on older Python versions the arguments must have a `str` value as before. ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
66 lines
2.9 KiB
C++
66 lines
2.9 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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// Copyright (c) 2020-2021 darkliang wangberlinT Certseeds
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#ifndef OPENCV_OBJDETECT_BARCODE_HPP
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#define OPENCV_OBJDETECT_BARCODE_HPP
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#include <opencv2/core.hpp>
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#include <opencv2/objdetect/graphical_code_detector.hpp>
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namespace cv {
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namespace barcode {
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//! @addtogroup objdetect_barcode
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//! @{
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class CV_EXPORTS_W_SIMPLE BarcodeDetector : public cv::GraphicalCodeDetector
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{
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public:
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/** @brief Initialize the BarcodeDetector.
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*/
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CV_WRAP BarcodeDetector();
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/** @brief Initialize the BarcodeDetector.
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*
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* Parameters allow to load _optional_ Super Resolution DNN model for better quality.
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* @param prototxt_path prototxt file path for the super resolution model
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* @param model_path model file path for the super resolution model
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*/
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CV_WRAP BarcodeDetector(CV_WRAP_FILE_PATH const std::string &prototxt_path, CV_WRAP_FILE_PATH const std::string &model_path);
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~BarcodeDetector();
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/** @brief Decodes barcode in image once it's found by the detect() method.
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*
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* @param img grayscale or color (BGR) image containing bar code.
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* @param points vector of rotated rectangle vertices found by detect() method (or some other algorithm).
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* For N detected barcodes, the dimensions of this array should be [N][4].
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* Order of four points in vector<Point2f> is bottomLeft, topLeft, topRight, bottomRight.
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* @param decoded_info UTF8-encoded output vector of string or empty vector of string if the codes cannot be decoded.
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* @param decoded_type vector strings, specifies the type of these barcodes
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* @return true if at least one valid barcode have been found
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*/
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CV_WRAP bool decodeWithType(InputArray img,
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InputArray points,
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CV_OUT std::vector<std::string> &decoded_info,
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CV_OUT std::vector<std::string> &decoded_type) const;
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/** @brief Both detects and decodes barcode
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* @param img grayscale or color (BGR) image containing barcode.
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* @param decoded_info UTF8-encoded output vector of string(s) or empty vector of string if the codes cannot be decoded.
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* @param decoded_type vector of strings, specifies the type of these barcodes
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* @param points optional output vector of vertices of the found barcode rectangle. Will be empty if not found.
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* @return true if at least one valid barcode have been found
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*/
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CV_WRAP bool detectAndDecodeWithType(InputArray img,
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CV_OUT std::vector<std::string> &decoded_info,
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CV_OUT std::vector<std::string> &decoded_type,
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OutputArray points = noArray()) const;
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};
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//! @}
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}} // cv::barcode::
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#endif // OPENCV_OBJDETECT_BARCODE_HPP
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