https://github.com/italo-batista/ia-ia-oh

https://github.com/users/italo-batista/projects/2
https://github.com/italo-batista/ia-ia-oh

Last synced: 24 days ago
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https://github.com/users/italo-batista/projects/2

• Host: GitHub
• URL: https://github.com/italo-batista/ia-ia-oh
• Owner: italo-batista
• Created: 2019-06-04T06:00:57.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-11-22T03:54:15.000Z (almost 2 years ago)
• Last Synced: 2023-04-25T16:09:53.861Z (over 1 year ago)
• Language: Python
• Homepage:
• Size: 25.9 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
## Obtain Data

We use the [VGGFACE2](http://www.robots.ox.ac.uk/~vgg/data/vgg_face2/data_infor.html) database. Download it and extract the `train` folder to the `/data` directory

## Executing in a Virtual Enviroment

We recommend to use a virtual enviroment.

Install virtualvenv

`sudo apt-get install python-dev python3-dev python-pip python3-pip`

Create your enviroment (here we will use _venv_)

`python -m virtualenv -p python3 venv`

- To enter your envirement run at root dir:

`source venv/bin/activate`

- To exit run:

`deactivate`

## Instaling depdendencies

`python -m pip3 install -r requirements.txt`

#### Also install tensorflow

If you use an Ubuntu/Linux 64-bit machine, with CPU only, Python 2.7, do:

- `export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.1.0-cp27-none-linux_x86_64.whl`

- `sudo pip install $TF_BINARY_URL`

For others machines, [see this](http://tflearn.org/installation/)