Dados coletados e programas desenvolvidos no processo de iniciação científica

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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GIF_defesa

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291 Jan 02, 2023
Implementation for paper: Self-Regulation for Semantic Segmentation

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GndNet: Fast ground plane estimation and point cloud segmentation for autonomous vehicles using deep neural networks.

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It's a powerful version of linebot

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A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"

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Systemic Evolutionary Chemical Space Exploration for Drug Discovery

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Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)

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Chang Liu 44 Nov 16, 2022
The official implementation of VAENAR-TTS, a VAE based non-autoregressive TTS model.

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Pre-trained BERT Models for Ancient and Medieval Greek, and associated code for LaTeCH 2021 paper titled - "A Pilot Study for BERT Language Modelling and Morphological Analysis for Ancient and Medieval Greek"

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Pranaydeep Singh 22 Dec 08, 2022
Official code release for 3DV 2021 paper Human Performance Capture from Monocular Video in the Wild.

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Chen Guo 58 Dec 24, 2022
Real time sign language recognition

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Mohit Kaushik 6 Jun 13, 2022
Official repository for MixFaceNets: Extremely Efficient Face Recognition Networks

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Fadi Boutros 51 Dec 13, 2022