#if !UNITY_WSA_10_0 using OpenCVForUnity.CoreModule; using OpenCVForUnity.UtilsModule; using System; using System.Collections.Generic; using System.Runtime.InteropServices; namespace OpenCVForUnity.DnnModule { // C++: class TextDetectionModel_EAST /** * This class represents high-level API for text detection DL networks compatible with EAST model. * * Configurable parameters: * - (float) confThreshold - used to filter boxes by confidences, default: 0.5f * - (float) nmsThreshold - used in non maximum suppression, default: 0.0f */ public class TextDetectionModel_EAST : TextDetectionModel { protected override void Dispose(bool disposing) { try { if (disposing) { } if (IsEnabledDispose) { if (nativeObj != IntPtr.Zero) dnn_TextDetectionModel_1EAST_delete(nativeObj); nativeObj = IntPtr.Zero; } } finally { base.Dispose(disposing); } } protected internal TextDetectionModel_EAST(IntPtr addr) : base(addr) { } // internal usage only public static new TextDetectionModel_EAST __fromPtr__(IntPtr addr) { return new TextDetectionModel_EAST(addr); } // // C++: cv::dnn::TextDetectionModel_EAST::TextDetectionModel_EAST(Net network) // /** * Create text detection algorithm from deep learning network * param network Net object */ public TextDetectionModel_EAST(Net network) : base(DisposableObject.ThrowIfNullIntPtr(dnn_TextDetectionModel_1EAST_TextDetectionModel_1EAST_10(network.nativeObj))) { } // // C++: cv::dnn::TextDetectionModel_EAST::TextDetectionModel_EAST(string model, string config = "") // /** * Create text detection model from network represented in one of the supported formats. * An order of {code model} and {code config} arguments does not matter. * param model Binary file contains trained weights. * param config Text file contains network configuration. */ public TextDetectionModel_EAST(string model, string config) : base(DisposableObject.ThrowIfNullIntPtr(dnn_TextDetectionModel_1EAST_TextDetectionModel_1EAST_11(model, config))) { } /** * Create text detection model from network represented in one of the supported formats. * An order of {code model} and {code config} arguments does not matter. * param model Binary file contains trained weights. */ public TextDetectionModel_EAST(string model) : base(DisposableObject.ThrowIfNullIntPtr(dnn_TextDetectionModel_1EAST_TextDetectionModel_1EAST_12(model))) { } // // C++: TextDetectionModel_EAST cv::dnn::TextDetectionModel_EAST::setConfidenceThreshold(float confThreshold) // /** * Set the detection confidence threshold * param confThreshold A threshold used to filter boxes by confidences * return automatically generated */ public TextDetectionModel_EAST setConfidenceThreshold(float confThreshold) { ThrowIfDisposed(); return new TextDetectionModel_EAST(DisposableObject.ThrowIfNullIntPtr(dnn_TextDetectionModel_1EAST_setConfidenceThreshold_10(nativeObj, confThreshold))); } // // C++: float cv::dnn::TextDetectionModel_EAST::getConfidenceThreshold() // /** * Get the detection confidence threshold * return automatically generated */ public float getConfidenceThreshold() { ThrowIfDisposed(); return dnn_TextDetectionModel_1EAST_getConfidenceThreshold_10(nativeObj); } // // C++: TextDetectionModel_EAST cv::dnn::TextDetectionModel_EAST::setNMSThreshold(float nmsThreshold) // /** * Set the detection NMS filter threshold * param nmsThreshold A threshold used in non maximum suppression * return automatically generated */ public TextDetectionModel_EAST setNMSThreshold(float nmsThreshold) { ThrowIfDisposed(); return new TextDetectionModel_EAST(DisposableObject.ThrowIfNullIntPtr(dnn_TextDetectionModel_1EAST_setNMSThreshold_10(nativeObj, nmsThreshold))); } // // C++: float cv::dnn::TextDetectionModel_EAST::getNMSThreshold() // /** * Get the detection confidence threshold * return automatically generated */ public float getNMSThreshold() { ThrowIfDisposed(); return dnn_TextDetectionModel_1EAST_getNMSThreshold_10(nativeObj); } #if (UNITY_IOS || UNITY_WEBGL) && !UNITY_EDITOR const string LIBNAME = "__Internal"; #else const string LIBNAME = "opencvforunity"; #endif // C++: cv::dnn::TextDetectionModel_EAST::TextDetectionModel_EAST(Net network) [DllImport(LIBNAME)] private static extern IntPtr dnn_TextDetectionModel_1EAST_TextDetectionModel_1EAST_10(IntPtr network_nativeObj); // C++: cv::dnn::TextDetectionModel_EAST::TextDetectionModel_EAST(string model, string config = "") [DllImport(LIBNAME)] private static extern IntPtr dnn_TextDetectionModel_1EAST_TextDetectionModel_1EAST_11(string model, string config); [DllImport(LIBNAME)] private static extern IntPtr dnn_TextDetectionModel_1EAST_TextDetectionModel_1EAST_12(string model); // C++: TextDetectionModel_EAST cv::dnn::TextDetectionModel_EAST::setConfidenceThreshold(float confThreshold) [DllImport(LIBNAME)] private static extern IntPtr dnn_TextDetectionModel_1EAST_setConfidenceThreshold_10(IntPtr nativeObj, float confThreshold); // C++: float cv::dnn::TextDetectionModel_EAST::getConfidenceThreshold() [DllImport(LIBNAME)] private static extern float dnn_TextDetectionModel_1EAST_getConfidenceThreshold_10(IntPtr nativeObj); // C++: TextDetectionModel_EAST cv::dnn::TextDetectionModel_EAST::setNMSThreshold(float nmsThreshold) [DllImport(LIBNAME)] private static extern IntPtr dnn_TextDetectionModel_1EAST_setNMSThreshold_10(IntPtr nativeObj, float nmsThreshold); // C++: float cv::dnn::TextDetectionModel_EAST::getNMSThreshold() [DllImport(LIBNAME)] private static extern float dnn_TextDetectionModel_1EAST_getNMSThreshold_10(IntPtr nativeObj); // native support for java finalize() [DllImport(LIBNAME)] private static extern void dnn_TextDetectionModel_1EAST_delete(IntPtr nativeObj); } } #endif