Tag · 2 posts

#face

  1. Microsoft Face API with a local container

    A few days ago, I obtained access to the Face container. It provides access to the Face API via a container you can run where you want: on your pc, at the network edge or in your datacenter. You should allocate 6 GB or RAM and 2 cores for the container to run well. Note…

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  2. Using the Microsoft Face API to detect emotions in photos and video

    ⚠️ IMPORTANT: the Face API container was retired early 2021. The container image is not available anymore. In a previous post, I blogged about detecting emotions with the ONNX FER+ model. As an alternative, you can use cloud models hosted by major cloud providers such as Microsoft, Amazon and Google. Besides those, there are many…

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