| Summary: | Use Tensorflow for face and object recognition | ||
|---|---|---|---|
| Product: | [Applications] digikam | Reporter: | Stefan Weiberg <stefan.weiberg> |
| Component: | Faces-Recognition | Assignee: | Digikam Developers <digikam-bugs-null> |
| Status: | RESOLVED FIXED | ||
| Severity: | normal | CC: | caulier.gilles |
| Priority: | NOR | ||
| Version First Reported In: | unspecified | ||
| Target Milestone: | --- | ||
| Platform: | openSUSE | ||
| OS: | Linux | ||
| Latest Commit: | Version Fixed/Implemented In: | 7.0.0 | |
| Sentry Crash Report: | |||
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Description
Stefan Weiberg
2018-03-21 16:53:24 UTC
TensorFlow is python based API. We use C++ here. So no way to use TensorFlow. Also, we have other algorithm to finalize and one explicitly based on Neural Network : https://cgit.kde.org/digikam.git/tree/core/libs/facesengine/dnnface This is based on DLib : https://github.com/davisking/dlib Gilles Caulier (In reply to caulier.gilles from comment #1) > TensorFlow is python based API. We use C++ here. So no way to use TensorFlow. > > Also, we have other algorithm to finalize and one explicitly based on Neural > Network : > > https://cgit.kde.org/digikam.git/tree/core/libs/facesengine/dnnface > > This is based on DLib : > > https://github.com/davisking/dlib > > Gilles Caulier There is a C++ API for Tensorflow as well: https://www.tensorflow.org/tutorials/image_recognition (section: Usage with the C++ API) Thanks for the additional info on the ongoing work. 7.0.0 release will use Neural Network deep learning from OpenCV. |