Dados coletados e programas desenvolvidos no processo de iniciação científica

Last update: Jan 10, 2022

Overview

Iniciacao_cientifica_FAPESP_2020-14845-6

Dados coletados e programas desenvolvidos no processo de iniciação científica Os arquivos .py são os programas utilizados no processamento Para você poder rodar os programas e eles funcionarem você deve ter pastas com nomes específicos. Os nomes das pastas podem ser identificados analisando os códigos disponibilizados. A pasta workingprepos possui os arquivos de coordenadas 3D já todo processado que foram os utilizados para gerar os resultados apresentados no projeto A pasta working3d são os dados reconstruidos com 144 saltos, ou seja, já tiveram 10 saltos excluidos mas ainda seriam excluidos mais 20 Já a pasta arquivoscalib possui os dados utilizados para as 6 calibrações utilizadas na coleta

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GitHub Repository

Visualizing Yolov5's layers using GradCam

YOLO-V5 GRADCAM I constantly desired to know to which part of an object the object-detection models pay more attention. So I searched for it, but I di

200 Jan 01, 2023

Implementation of experiments in the paper Clockwork Variational Autoencoders (project website) using JAX and Flax

Clockwork VAEs in JAX/Flax Implementation of experiments in the paper Clockwork Variational Autoencoders (project website) using JAX and Flax, ported

26 Oct 05, 2022

This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX

The goal of Project CodeNet is to provide the AI-for-Code research community with a large scale, diverse, and high quality curated dataset to drive innovation in AI techniques.

1.2k Jan 04, 2023

Code for the paper "Reinforced Active Learning for Image Segmentation"

Reinforced Active Learning for Image Segmentation (RALIS) Code for the paper Reinforced Active Learning for Image Segmentation Dependencies python 3.6

79 Dec 19, 2022

Predicting Event Memorability from Contextual Visual Semantics

0 Oct 06, 2021

Scikit-learn compatible estimation of general graphical models

skggm : Gaussian graphical models using the scikit-learn API In the last decade, learning networks that encode conditional independence relationships

213 Jan 02, 2023

Automatically erase objects in the video, such as logo, text, etc.

Video-Auto-Wipe Read English Introduction：Here 本人不定期的基于生成技术制作一些好玩有趣的算法模型，这次带来的作品是“视频擦除”方向的应用模型，它实现的功能是自动感知到视频中我们不想看见的部分（譬如广告、水印、字幕、图标等等）然后进行擦除。由于图标擦

141 Dec 26, 2022

Code samples for my book "Neural Networks and Deep Learning"

Code samples for "Neural Networks and Deep Learning" This repository contains code samples for my book on "Neural Networks and Deep Learning". The cod

13.9k Dec 26, 2022

PyTorch implementation of TSception V2 using DEAP dataset

TSception This is the PyTorch implementation of TSception V2 using DEAP dataset in our paper: Yi Ding, Neethu Robinson, Su Zhang, Qiuhao Zeng, Cuntai

27 Dec 15, 2022

A 3D Dense mapping backend library of SLAM based on taichi-Lang designed for the aerial swarm.

TaichiSLAM This project is a 3D Dense mapping backend library of SLAM based Taichi-Lang, designed for the aerial swarm. Intro Taichi is an efficient d

230 Dec 19, 2022

Codes to calculate solar-sensor zenith and azimuth angles directly from hyperspectral images collected by UAV. Works only for UAVs that have high resolution GNSS/IMU unit.

UAV Solar-Sensor Angle Calculation Table of Contents About The Project Built With Getting Started Prerequisites Installation Datasets Contributing Lic

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[CVPR 2022] PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision (Oral)

PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision Kehong Gong*, Bingbing Li*, Jianfeng Zhang*, Ta

256 Dec 28, 2022

Dados coletados e programas desenvolvidos no processo de iniciação científica

Related tags

Overview

Iniciacao_cientifica_FAPESP_2020-14845-6

Owner

Visualizing Yolov5's layers using GradCam

Implementation of experiments in the paper Clockwork Variational Autoencoders (project website) using JAX and Flax

This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX

Code for the paper "Reinforced Active Learning for Image Segmentation"

Predicting Event Memorability from Contextual Visual Semantics

Scikit-learn compatible estimation of general graphical models

Automatically erase objects in the video, such as logo, text, etc.

Code samples for my book "Neural Networks and Deep Learning"

PyTorch implementation of TSception V2 using DEAP dataset

A 3D Dense mapping backend library of SLAM based on taichi-Lang designed for the aerial swarm.

Codes to calculate solar-sensor zenith and azimuth angles directly from hyperspectral images collected by UAV. Works only for UAVs that have high resolution GNSS/IMU unit.

The codes reproduce the figures and statistics in the paper, "Controlling for multiple covariates," by Mark Tygert.

Rule Extraction Methods for Interactive eXplainability

DeepSTD: Mining Spatio-temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction

[ICML 2022] The official implementation of Graph Stochastic Attention (GSAT).

MGFN: Multi-Graph Fusion Networks for Urban Region Embedding was accepted by IJCAI-2022.

Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling

SeMask: Semantically Masked Transformers for Semantic Segmentation.

Benchmarks for Object Detection in Aerial Images

[CVPR 2022] PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision (Oral)