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OpenFace

28
98
+ 1
3
TensorFlow

3.2K
3.2K
+ 1
93
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OpenFace vs TensorFlow: What are the differences?

OpenFace: Free and open source face recognition with deep neural networks. OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google; TensorFlow: Open Source Software Library for Machine Intelligence. TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

OpenFace can be classified as a tool in the "Facial Recognition" category, while TensorFlow is grouped under "Machine Learning Tools".

OpenFace is an open source tool with 12.2K GitHub stars and 2.99K GitHub forks. Here's a link to OpenFace's open source repository on GitHub.

Decisions about OpenFace and TensorFlow
Xi Huang
Developer at University of Toronto · | 8 upvotes · 76.5K views

For data analysis, we choose a Python-based framework because of Python's simplicity as well as its large community and available supporting tools. We choose PyTorch over TensorFlow for our machine learning library because it has a flatter learning curve and it is easy to debug, in addition to the fact that our team has some existing experience with PyTorch. Numpy is used for data processing because of its user-friendliness, efficiency, and integration with other tools we have chosen. Finally, we decide to include Anaconda in our dev process because of its simple setup process to provide sufficient data science environment for our purposes. The trained model then gets deployed to the back end as a pickle.

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Pros of OpenFace
Pros of TensorFlow
  • 3
    Open Source
  • 29
    High Performance
  • 17
    Connect Research and Production
  • 14
    Deep Flexibility
  • 11
    Auto-Differentiation
  • 10
    True Portability
  • 4
    Powerful
  • 4
    High level abstraction
  • 4
    Easy to use

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Cons of OpenFace
Cons of TensorFlow
    Be the first to leave a con
    • 9
      Hard
    • 6
      Hard to debug
    • 1
      Documentation not very helpful

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    What is OpenFace?

    OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google.

    What is TensorFlow?

    TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

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    What tools integrate with OpenFace?
    What tools integrate with TensorFlow?
      No integrations found

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      What are some alternatives to OpenFace and TensorFlow?
      OpenCV
      OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
      Rekognition API
      ReKognition API offers services for detecting, recognizing, tagging and searching faces and concepts as well as categorizing scenes in any photo, through a RESTFUL API. We process and analyze photos from anywhere, so you can mix and match photo sources with user IDs, which can enable you to, say, recognize objects in Facebook and Flickr photos.
      Kairos API
      Commercial-grade emotion analysis, face detection and recognition engine provided as a public API. Kairos takes the complexity out of facial recognition and emotion analysis so you can focus on building a great product.
      See all alternatives