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airframe-react

Free Open Source High Quality Dashboard based on Bootstrap 4 & React 16: http://dashboards.webkom.co/react/airframe

algoritmos

Análise de Algorigmos

caffe

Caffe: a fast open framework for deep learning.

caffe-pdh-reid-2016

caffe-re-id

cocoapi

COCO API - Dataset @ http://cocodataset.org/

coreui-free-react-admin-template

CoreUI React is a free React admin template based on Bootstrap 5

cvlib

A simple, high level, easy to use, open source Computer Vision library for Python.

data-wrangling

Técnicas para preparação de dados

dataaugmentationforobjectdetection

Data Augmentation For Object Detection

dataconnectors

Data Connector SDK and samples for Power Query and Power BI

datasharing

The Leek group guide to data sharing

deep-person-reid

Pytorch implementation of deep person re-identification models.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dgm_re-id

Unsupervised Person Re-identification (ICCV 2017)

dm2018

DM2018

docker-images

Docker images

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

flight_data_brazil

Dados de decolagens e aterrisagens (2000-2017) e condições meteorológicas (2009-2017) nos principais aeroportos do Brasil

gait-analysis-casia-b-python

gait-energy-image-recognition

extract gait energy image feature from silhouette gait images, then using tree model to classify with these features

gait-recognition

Minor Project based on Silhouette analysis-based gait recognition for human identification

gaitset

A flexible, effective and fast cross-view gait recognition network

gd_paralelo

gdp

Gradiente Descendente Paralelo

human-segmentation-pytorch

Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

hyperface-with-squeezenet

Two multitasking CNNs for simultaneous face detection, landmarks estimation and visibility, pose estimation and gender recognition. hyperface.py concatenates feature maps from initial, mid and final layers of the network and then branches out to different heads. multiout.py branches from the final layer of the network to different heads. DataGen2.py is the Data Generator used for reading multiple labels from json files. It is a modified version of Keras's default Data Generator. The idea is based on the following paper - [1] R. Ranjan, V. M. Patel, and R. Chellappa. Hyperface: A deep multitask learning framework for face detection, landmark localization, pose estimation, and gender recognition. CoRR, abs/1603.01249, 2016. The implementation is slightly different. The original HyperFace architecture is built on top of AlexNet while the implementation here uses another architecture called SqueezeNet.

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