public void MergeFrom(PostProcessing other)
{
if (other == null)
{
return;
}
if (other.batchNonMaxSuppression_ != null)
{
if (batchNonMaxSuppression_ == null)
{
batchNonMaxSuppression_ = new global::Tensorflow.Models.ObjectDetection.Protos.BatchNonMaxSuppression();
}
BatchNonMaxSuppression.MergeFrom(other.BatchNonMaxSuppression);
}
if (other.ScoreConverter != 0)
{
ScoreConverter = other.ScoreConverter;
}
if (other.LogitScale != 0F)
{
LogitScale = other.LogitScale;
}
if (other.calibrationConfig_ != null)
{
if (calibrationConfig_ == null)
{
calibrationConfig_ = new global::Tensorflow.Models.ObjectDetection.Protos.CalibrationConfig();
}
CalibrationConfig.MergeFrom(other.CalibrationConfig);
}
_unknownFields = pb::UnknownFieldSet.MergeFrom(_unknownFields, other._unknownFields);
}
public void MergeFrom(pb::CodedInputStream input)
{
uint tag;
while ((tag = input.ReadTag()) != 0)
{
switch (tag)
{
default:
_unknownFields = pb::UnknownFieldSet.MergeFieldFrom(_unknownFields, input);
break;
case 10: {
if (batchNonMaxSuppression_ == null)
{
batchNonMaxSuppression_ = new global::Tensorflow.Models.ObjectDetection.Protos.BatchNonMaxSuppression();
}
input.ReadMessage(batchNonMaxSuppression_);
break;
}
case 16: {
scoreConverter_ = (global::Tensorflow.Models.ObjectDetection.Protos.PostProcessing.Types.ScoreConverter)input.ReadEnum();
break;
}
case 29: {
LogitScale = input.ReadFloat();
break;
}
case 34: {
if (calibrationConfig_ == null)
{
calibrationConfig_ = new global::Tensorflow.Models.ObjectDetection.Protos.CalibrationConfig();
}
input.ReadMessage(calibrationConfig_);
break;
}
}
}
}