Jaramilloh

Angular-Super-Resolution-Based-on-Residual-Network

Step-by-step notebook for enhancing the angular resolution of light fields using a deep learning-based network, improving the resolution of the captured scene's depth map.

Depth-Map-Estimation-on-Microcontrollers

Development of an Embedded System for Depth Map Estimation and Visualization using a Microcontroller with 8-bit Integer Quantization, a Raspberry Pi Server and WebSocket Protocol.

Depth-Object-Detector-DOD

Implementation of the novel method DOD for object detection with depth estimation integrated within the prediction heads of a fully state-of-the-art convolutional neural network of one million of parameters.

DODcicd

Depth Object Detector implemented on Container for CI/CD (Continuous Integration and Continuous Delivery)

Face-Detector

Implementation of a convolutional neural network for face detection in images, achieving high accuracy (99.5% F1-score) on a diverse dataset, with an efficient inference pipeline and script for practical usage.

GPC-3D-figures

See: https://jaramilloh.github.io/GPC-3D-figures/ for 3D models programmed with https://threejs.org/

Image-Segmentation-for-Autonoums-Driving

Implementation of an encoder-decoder convolutional neural network based on state-of-the-art models SegFormer and MA-Net for semantic segmentation in autonomous driving task.

Procesamiento-de-Campos-de-Luz

Algoritmos para el post-procesamiento de un campo de luz capturado; extracción de imágenes de sub-apertura de un campo de luz capturado con una cámara plenóptica afocal, sub-muestreo espacial y angular del campo de luz y secuencia sin discontinuidades utilizando el flujo óptico.

Process-Light-Fields-Captured-With-Lytro-Camera

Extract sub-aperture images from captured light fields with Lytro Camera. Moreover, calibration data is given in order to rectify and color correct each capture before processing.

Red-Neuronal-Sub-Muestreadora-de-Imagenes

Red neuronal para sub-muestrear espacialmente imágenes. Proyecto realizado para la asignatura de Inteligencia Artificial en la Pontifica Universidad Javeriana.

Jaramilloh/Process-Light-Fields-Captured-With-Lytro-Camera

Extract sub-aperture images from captured light fields with Lytro Camera. Moreover, calibration data is given in order to rectify and color correct each capture before processing.

Jaramilloh/Procesamiento-de-Campos-de-Luz

Algoritmos para el post-procesamiento de un campo de luz capturado; extracción de imágenes de sub-apertura de un campo de luz capturado con una cámara plenóptica afocal, sub-muestreo espacial y angular del campo de luz y secuencia sin discontinuidades utilizando el flujo óptico.

Jaramilloh/Red-Neuronal-Sub-Muestreadora-de-Imagenes

Red neuronal para sub-muestrear espacialmente imágenes. Proyecto realizado para la asignatura de Inteligencia Artificial en la Pontifica Universidad Javeriana.

Jaramilloh/Angular-Super-Resolution-Based-on-Residual-Network

Step-by-step notebook for enhancing the angular resolution of light fields using a deep learning-based network, improving the resolution of the captured scene's depth map.

Jaramilloh/Depth-Map-Estimation-on-Microcontrollers

Development of an Embedded System for Depth Map Estimation and Visualization using a Microcontroller with 8-bit Integer Quantization, a Raspberry Pi Server and WebSocket Protocol.

Jaramilloh/Depth-Object-Detector-DOD

Implementation of the novel method DOD for object detection with depth estimation integrated within the prediction heads of a fully state-of-the-art convolutional neural network of one million of parameters.

Jaramilloh/DODcicd

Depth Object Detector implemented on Container for CI/CD (Continuous Integration and Continuous Delivery)

Jaramilloh/Face-Detector

Implementation of a convolutional neural network for face detection in images, achieving high accuracy (99.5% F1-score) on a diverse dataset, with an efficient inference pipeline and script for practical usage.

Jaramilloh/GPC-3D-figures

See: https://jaramilloh.github.io/GPC-3D-figures/ for 3D models programmed with https://threejs.org/

Jaramilloh/Image-Segmentation-for-Autonoums-Driving

Implementation of an encoder-decoder convolutional neural network based on state-of-the-art models SegFormer and MA-Net for semantic segmentation in autonomous driving task.

Jaramilloh/coursera-applied-de-kubernetes-lab

Labs for Coursera Applied Kubernetes

Jaramilloh/CursoMachineLearning

Página Web del curso de Machine learning

Jaramilloh/Geo-Fossils-I-Classification-Benchmark

Classification benchmark with different architectures applied for the Geo Fossils-I dataset

Jaramilloh/opencv

Open Source Computer Vision Library

Jaramilloh/TecoGAN

This repo will contain source code and materials for the TecoGAN project, i.e. code for a TEmporally COherent GAN

Jaramilloh/Depth-Anything-V2

Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

Jaramilloh/devops-tips-tricks

Repo for pytest, containers, cloud enviorements and more

Jaramilloh/gcp-cloud-cert-resources

Jaramilloh/github-actions-rust-example

Build and test my first Rust project

Jaramilloh/github-projects-playground

Jaramilloh/Jaramilloh

My personal repository.

Jaramilloh/locust-testing-ci

Forked from nogibjj/coursera-applied-de-kubernetes-lab

Jaramilloh/mlops-template

mlops template

Jaramilloh/rust-pytorch-deploy

MLOps Deploy Solutions with Rust

Jaramilloh/rust-pytorch-gpu-template