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20151218-ramon-figueiredo-pessoa_master-degree

Master's thesis files (Ramon Figueiredo Pessoa)

annotation_tools

Visipedia Annotation Tools

applied_machine_learning-winter2020

Applied Machine Learning, Winter 2020 (COMP551-002) - Projects 1, 2, and 3

awesome-human-pose-estimation

A collection of awesome resources in Human Pose estimation.

aws-elastic-beanstalk-cli-setup

Simplified EB CLI installation mechanism.

aws-rfdk

The Render Farm Deployment Kit on AWS is a library for use with the AWS Cloud Development Kit that helps you define your render farm cloud infrastructure as code.

buku_opencv

Buku OpenCV

c_and_cplusplus_programming

Some programming examples in C and C++

chainlit

Build Python LLM apps in minutes ⚡️

cnn-lstm-for-activity-recognition

coco-annotator

:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

cocoapi

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

cocosynth

COCO Synth provides tools for creating synthetic COCO datasets.

com_winter_2009

Center of mass of a human 2D pose with 17 joints. Following the instruction in the book: Winter, David A. Biomechanics and Motor Control of Human Movement. John wiley & sons, 2009. Chapter 4: ANTHROPOMETRY.

comp551-2020-p1-logistic_regression_and_naive_bayes

In this miniproject we implemented two classification techniques (logistic regression and naive Bayes) and compare these two algorithms on four distinct datasets (Ionosphere, Adult, Wine Qualidy, and Breast Cancer Diagnosis).

comp551-2020-p2_classification_of_textual_data

In this mini-project, we will develop models to classify textual data, input is text documents, and output is categorical variable (class labels).

comp551-2020-p3_classification_of_image_data

In this mini-project, we develop models to classify image data. We use the MNIST and CIFAR-10 dataset with the default test and train partitions. We use use Keras and Pytorch to load the data. Applying and comparing the performance of following models on this dataset: Multilayer perceptron and Convolutional Neural Network.

convolutional-pose-machines-release

Code repository for Convolutional Pose Machines, CVPR'16

cryptolens-python

Cryptolens Client API for Python

ctci-6th-edition

Cracking the Coding Interview 6th Ed. Solutions

cvpr2019

cvpr2019 papers

datasets

datasets-for-datascience

A collection of datasets from multiple sources to be used for demonstrations in data science courses.

dcpose

This is an official implementation of our CVPR 2021 paper "Deep Dual Consecutive Network for Human Pose Estimation" (https://openaccess.thecvf.com/content/CVPR2021/papers/Liu_Deep_Dual_Consecutive_Network_for_Human_Pose_Estimation_CVPR_2021_paper.pdf)

deep-activity-rec

Paper ibrahim et al, cvpr 2016 - A Hierarchical Deep Temporal Model for Group Activity Recognition -

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deep_learning_in_python

Deep Learning Algorithms in Python (Tools: Keras, TensorFlow, and Pytorch)

deep_learning_with_pytorch

Deep Learning with PyTorch

deeppose_tf

DeepPose implementation on TensorFlow. Original Paper http://arxiv.org/abs/1312.4659

densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body