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3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

aerial_pedestrian_detection

android

Repositório para os exercícios da disciplina de programação Android 2019/1

awesome-action-recognition

A curated list of action recognition and related area resources

awesome-sign-language

🙌 A collection of awesome Sign Language projects and resources 🤟

best-websites-a-programmer-should-visit

:link: Some useful websites for programmers.

bgslibrary

A background subtraction library

bio-mel

brazilian-sign-language-alphabet-dataset

capture-libras-dataset

classify-handgesturepose

Network to classify hand gesture poses.

cnn-registration

A image registration method using convolutional neural network features.

color_recognition

:art: Color recognition both on a webcam stream in real-time, on video and on a single image using K-Nearest Neighbors Machine Learning classification algorithm is trained with Color Histogram Features.

colors-classifier

Tools for colors classification. Allows to extract pallete of colors or dominant color from an image.

compilador

Compilador desenvolvido em Java utilizando a biblioteca JavaCC para disciplina de compiladores em 2018/1

computer-vision

Computer Vision Related Scripts

contadordehistoria-socketsudp

Atividade de Sistemas Distribuidos. Uso de sockets UDP.

cracks-and-potholes-in-road-images-dataset

cv-tricks.com

Repository for all the tutorials and codes shared at cv-tricks.com

daunet

DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentation

deeplearning

This repository keeps track of my path towards understanding Deep Learning concepts (mainly with TensorFlow).

desafio-sockets

Atividade de Sistemas Distribuidos. Uso de sockets: envio de arquivos entre client escrito em C e server escrito em Java

document-image-classification-with-intra-domain-transfer-learning-and-stacked-generalization-of-deep

RVL-CDIP could be looked at as the equivalent of ImageNet for the document image community. It’s certainly the largest we’ve seen in the literature. There are 400,000 total document images in the dataset. The dataset contains much noise and variance in composition of each document class. Uncompressed, the dataset size is ~100GB, and comprises 16 classes of document types, with 25,000 samples per classes. Example classes include email, resume, and invoice. Achieved an Accuracy of over 93% which beat the benchmark score of 92% based on https://paperswithcode.com/sota/document-image-classification-on-rvl-cdip

dominant-colors-in-an-image-using-k-means-clustering

estacionamento-javarmi

fat16

Sistema de Arquivos FAT16 desenvolvido na disciplina de Sistemas Operacionais

gcb

Projeto GreenCookbook (GCB) para disciplina de banco de dados

geometric-transformations

Estudo de transformações geométricas em um poligono para disciplina de Computação Gráfica

geotutorial_basic

github-api-consumer

GitHub API consumer