Face_ID

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This repository can be used to build a FACE ID program for Laptops and PCs

Face_ID 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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# Face_ID
* AIM

To create a simple and reliable Face Recognition program (For this VIDEO) by using Tensorflow in the Python Programming Language.
  
  
* Setup

You will need to install Tensorflow and Python on your Machine.
  To install tensorflow, hit the following in the terminal:
  
      pip install tensorflow
      pip install opencv-python
     
  I'm using OpenCV for taking a realtime image of our faces from our WebCamera and then Identify that image from the retrained model!
  In this way, our program of face_ID will work.
  
  NOTE: You must have a WebCamera, either on your Laptop or Computer!
  
  That's enough for (this)[] video.
  Also, you need to clone this Repository, to do so, hit the following:
     
      git clone https://github.com/MauryaRitesh/Face_ID
      
* Gathering Images

You will need a lot of images of your(or the one for whom you are creating the Face ID) Faces, i.e., go ahead and take hundreds of
  thousands of selfies and fill all those in the Images folder of this repository. You will need to create a Folder and rename as your
  name. E.g., Create a folder named Ritesh and another as Not Ritesh.

* (Re)Training

To train the model, hit the following:
  
      python -m scripts.retrain \
      --output_graph=tf_files/retrained_graph.pb \
      --output_labels=tf_files/retrained_labels.txt \
      --architecture=inception_v3 \
      --image_dir=tf_files/images

* Using the Model

To get the model Working, hit the following:
  
      python -m scripts.label_image
      
  That's enough for now!
  Do STAR this Repo if it really helped you!

Face_ID

Face_ID 최신버젼 다운로드

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Face_ID

Face_ID 최신버젼 다운로드

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