Dados coletados e programas desenvolvidos no processo de iniciação científica

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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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Learned model to estimate number of distinct values (NDV) of a population using a small sample.

Learned NDV estimator Learned model to estimate number of distinct values (NDV) of a population using a small sample. The model approximates the maxim

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Project repo for Learning Category-Specific Mesh Reconstruction from Image Collections

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A selection of State Of The Art research papers (and code) on human locomotion (pose + trajectory) prediction (forecasting)

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Machine learning and Deep learning models, deploy on telegram (the best social media)

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JFB: Jacobian-Free Backpropagation for Implicit Models

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Implements MLP-Mixer: An all-MLP Architecture for Vision.

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