Face Recognition and Emotion Detector Device

Last update: Dec 21, 2021

Related tags

Deep Learning VITAZ

Overview

Face Recognition and Emotion Detector Device

Orange PI 1
Python 3.10.0 + Django 3.2.9

Project's file explanation

Django

manage.py

Django commands handler
Run py manage.py [cmds] instead of py -m django [cmds] or django-admin [cmds]

COURSE

file name	description
`__init__.py__`	defining this module as a package
`asgi.py`	--for deployment purposes
`settings.py`	settings of whole project (e.g. used apps [django.authentication, VITAZ...])
`urls.py`	project's url handler (admin, VITAZ...)
`wsgi.py`	--for deployment purposes

VITAZ

file name	description
F `migrations`	generating DB tables
F `templates`	actually views (html...)
`__init__.py__`	defining this module as a package
`admin.py`	admin interface
`apps.py`	actually app config
`models.py`	models're used for pulling data from DBs
`tests.py`	unit tests
`urls.py`	APP's url handler (home page, profile page...)
`views.py`	return responses (Http, html...)

Copyright 2021, Evula A. S., All rights reserved.

Owner

BootyAss

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Face Recognition and Emotion Detector Device

Related tags

Overview

Face Recognition and Emotion Detector Device

Project's file explanation

Django

`manage.py`

`COURSE`

`VITAZ`

Owner

BootyAss

PyTorch/TorchScript compiler for NVIDIA GPUs using TensorRT

Proof-Of-Concept Piano-Drums Music AI Model/Implementation

A simple rest api serving a deep learning model that classifies human gender based on their faces. (vgg16 transfare learning)

Node for thenewboston digital currency network.

PyTorch code for Composing Partial Differential Equations with Physics-Aware Neural Networks

Repository for GNSS-based position estimation using a Deep Neural Network

Exadel CompreFace is a free and open-source face recognition GitHub project

Tensorflow/Keras Plug-N-Play Deep Learning Models Compilation

Data visualization app for H&M competition in kaggle

Code and data for the paper "Hearing What You Cannot See"

Official code for "Mean Shift for Self-Supervised Learning"

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MAVE: : A Product Dataset for Multi-source Attribute Value Extraction