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

MAterial del programa Misión TIC 2022

This repo is about to create the Streamlit application for given ML model.

Code repo for "RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network" (Machine Learning and the Physical Sciences workshop in NeurIPS 2021).

Code, final versions, and information on the Sparkfun Graphical Datasheets

For holding anime-related object classification and detection models

hipCaffe: the HIP port of Caffe

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning.

Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxiang Wang, Han Zhao, Bo Li.

This repository contains a PyTorch implementation of the paper Learning to Assimilate in Chaotic Dynamical Systems.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

This is the accompanying toolbox for the paper "A Survey on GANs for Anomaly Detection"

TextureGAN in Pytorch

Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.

A PyTorch Implementation of FaceBoxes

An Easy-to-use, Modular and Prolongable package of deep-learning based Named Entity Recognition Models.

Learning to Stylize Novel Views

Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)

A unet implementation for Image semantic segmentation

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation