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

GitHub Repository

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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

《LightXML: Transformer with dynamic negative sampling for High-Performance Extreme Multi-label Text Classiﬁcation》(AAAI 2021) GitHub:

AI assistant built in python.the features are it can display time,say weather,open-google,youtube,instagram.

Neural Oblivious Decision Ensembles

Predicts an answer in yes or no.

Segmentation models with pretrained backbones. PyTorch.

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

A curated list of resources for Image and Video Deblurring

Code for "Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation" ICCV'21

Siamese TabNet

RoadMap and preparation material for Machine Learning and Data Science - From beginner to expert.

Pytorch domain adaptation package

Customised to detect objects automatically by a given model file(onnx)

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A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

code for Multi-scale Matching Networks for Semantic Correspondence, ICCV

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An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"