Merge pull request #24903 from cristidbr-adapta:feature-barcode-detector-parameters

Feature barcode detector parameters #24903

Attempt to solve #24902 without changing the default detector behaviour. 
Megre with extra: https://github.com/opencv/opencv_extra/pull/1150

**Introduces new parameters and methods to `cv::barcode::BarcodeDetector`**.

### 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
- [x] 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

modules/objdetect/include/opencv2/objdetect/barcode.hpp

@@ -57,6 +57,52 @@ public:
                                       CV_OUT std::vector<std::string> &decoded_info,
                                       CV_OUT std::vector<std::string> &decoded_type,
                                       OutputArray points = noArray()) const;
+
+    /** @brief Get detector downsampling threshold.
+     *
+     * @return detector downsampling threshold
+     */
+    CV_WRAP double getDownsamplingThreshold() const;
+
+    /** @brief Set detector downsampling threshold.
+     *
+     * By default, the detect method resizes the input image to this limit if the smallest image size is is greater than the threshold.
+     * Increasing this value can improve detection accuracy and the number of results at the expense of performance.
+     * Correlates with detector scales. Setting this to a large value will disable downsampling.
+     * @param thresh downsampling limit to apply (default 512)
+     * @see setDetectorScales
+     */
+    CV_WRAP BarcodeDetector& setDownsamplingThreshold(double thresh);
+
+    /** @brief Returns detector box filter sizes.
+     *
+     * @param sizes output parameter for returning the sizes.
+     */
+    CV_WRAP void getDetectorScales(CV_OUT std::vector<float>& sizes) const;
+
+    /** @brief Set detector box filter sizes.
+     *
+     * Adjusts the value and the number of box filters used in the detect step.
+     * The filter sizes directly correlate with the expected line widths for a barcode. Corresponds to expected barcode distance.
+     * If the downsampling limit is increased, filter sizes need to be adjusted in an inversely proportional way.
+     * @param sizes box filter sizes, relative to minimum dimension of the image (default [0.01, 0.03, 0.06, 0.08])
+     */
+    CV_WRAP BarcodeDetector& setDetectorScales(const std::vector<float>& sizes);
+
+    /** @brief Get detector gradient magnitude threshold.
+     *
+     * @return detector gradient magnitude threshold.
+     */
+    CV_WRAP double getGradientThreshold() const;
+
+    /** @brief Set detector gradient magnitude threshold.
+     *
+     * Sets the coherence threshold for detected bounding boxes.
+     * Increasing this value will generate a closer fitted bounding box width and can reduce false-positives.
+     * Values between 16 and 1024 generally work, while too high of a value will remove valid detections.
+     * @param thresh gradient magnitude threshold (default 64).
+     */
+    CV_WRAP BarcodeDetector& setGradientThreshold(double thresh);
 };
 //! @}