How to deploy a ML model as an API using Google Compute engine, Docker and flask

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Deep Learning Python image-animation generative-model face-alignment

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  • first-order-model

    This repository contains the source code for the paper First Order Motion Model for Image Animation

    • First of the model we are going to be making use of is a Deepfake model by the name of First Order Motion. Deepfakes you allow you create an artificial version of a person saying or doing an action, I first found about this particular model on two minute papers (an awesome YT channel for lovers of AI ⚡) and wanted to try it for myself. The video below talks more about the model.

  • face-alignment

    :fire: 2D and 3D Face alignment library build using pytorch

    • FROM nvcr.io/nvidia/cuda:10.0-cudnn7-runtime-ubuntu18.04 RUN DEBIAN_FRONTEND=noninteractive apt-get -qq update \ && DEBIAN_FRONTEND=noninteractive apt-get -qqy install python3-pip ffmpeg git less nano libsm6 libxext6 libxrender-dev \ && rm -rf /var/lib/apt/lists/* COPY . /app/ WORKDIR /app RUN pip3 install --upgrade pip RUN pip3 install \ https://download.pytorch.org/whl/cu100/torch-1.0.0-cp36-cp36m-linux_x86_64.whl \ git+https://github.com/1adrianb/face-alignment \ -r requirements.txt ENTRYPOINT [ "python3" ] CMD [ "app.py" ]

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