C++ API for speaker diarization (#1396)

sherpa-onnx/csrc/offline-speaker-segmentation-model-config.cc

@@ -0,0 +1,57 @@
+// sherpa-onnx/csrc/offline-speaker-segmentation-model-config.cc
+//
+// Copyright (c)  2024  Xiaomi Corporation
+#include "sherpa-onnx/csrc/offline-speaker-segmentation-model-config.h"
+
+#include <sstream>
+#include <string>
+
+#include "sherpa-onnx/csrc/macros.h"
+
+namespace sherpa_onnx {
+
+void OfflineSpeakerSegmentationModelConfig::Register(ParseOptions *po) {
+  pyannote.Register(po);
+
+  po->Register("num-threads", &num_threads,
+               "Number of threads to run the neural network");
+
+  po->Register("debug", &debug,
+               "true to print model information while loading it.");
+
+  po->Register("provider", &provider,
+               "Specify a provider to use: cpu, cuda, coreml");
+}
+
+bool OfflineSpeakerSegmentationModelConfig::Validate() const {
+  if (num_threads < 1) {
+    SHERPA_ONNX_LOGE("num_threads should be > 0. Given %d", num_threads);
+    return false;
+  }
+
+  if (!pyannote.model.empty()) {
+    return pyannote.Validate();
+  }
+
+  if (pyannote.model.empty()) {
+    SHERPA_ONNX_LOGE(
+        "You have to provide at least one speaker segmentation model");
+    return false;
+  }
+
+  return true;
+}
+
+std::string OfflineSpeakerSegmentationModelConfig::ToString() const {
+  std::ostringstream os;
+
+  os << "OfflineSpeakerSegmentationModelConfig(";
+  os << "pyannote=" << pyannote.ToString() << ", ";
+  os << "num_threads=" << num_threads << ", ";
+  os << "debug=" << (debug ? "True" : "False") << ", ";
+  os << "provider=\"" << provider << "\")";
+
+  return os.str();
+}
+
+}  // namespace sherpa_onnx