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| DNNModelInfoContainer (const DNNModelInfoContainer &) |
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| DNNModelInfoContainer (const QString &_displayName, const QString &_toolTip, const QString &_fileName, const DNNModelUsageList &_usage, const QVersionNumber &_minVersion, const QString &_downloadPath, const QString &_sha256, const qint64 &_fileSize, int _defaultThreshold, int _minUsableThreshold, int _maxUsableThreshold, DNNLoaderType _loaderType, const QString &_preprocessor, const QString &_classifier, const QString &_classList, const QString &_configName, const cv::Scalar &_meanValToSubtract, int _imageSize) |
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DNNModelInfoContainer & | operator= (const DNNModelInfoContainer &) |
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DNNModelInfoContainer & | operator= (DNNModelInfoContainer &&) |
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bool | operator== (const DNNModelInfoContainer &t) const |
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QString | classifier |
| Name of classifier type.
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QString | classList |
| Name of model containing list of class names for classification.
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QString | configName |
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int | defaultThreshold = 0 |
| Threshold used for models that aren't configured by the UI.
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QString | displayName |
| Name used for display in UI (QComboBox).
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QString | downloadPath |
| Used by the downloader for the download path.
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QString | fileName |
| Used by the downloader and model loader.
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qint64 | fileSize = 0 |
| Used by the downloader to verify size.
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int | imageSize = 0 |
| Max dimension of a side of an image.
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DNNLoaderType | loaderType = DNNLoaderNet |
| Model loder type custom (YuNet/SFace), Caffe, Darknet, Torch, Tensorflow.
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int | maxUsableThreshold = 0 |
| Used to convert UI 1-10 slider to float for processing.
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cv::Scalar | meanValToSubtract = cv::Scalar(0.0, 0.0, 0.0) |
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int | minUsableThreshold = 0 |
| Used to convert UI 1-10 slider to float for processing.
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QVersionNumber | minVersion |
| Minimum version of digiKam needed to use this model.
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QString | preprocessor |
| Name of preprocessor type.
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QString | sha256 |
| SHA265 hash of the file for download.
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QString | toolTip |
| Tooltip for the model.
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DNNModelUsageList | usage |
| How the model can be used. | for more than one use. face_detection, face_recognition, weight, object_detection, etc...
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