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Hi 👋, I'm Francisco Calderon

Full time professor at Pontificia Universidad Javeriana.

I love birds, photography, astronomy, 3d printing, and hiking.

My area of expertise is the digital processing of multidimensional signals such as images and video. I have experience implementing microcontrolled systems for signal processing. As well as complex embedded systems that require the use of low and high level operating systems.

I have worked as a researcher in the area of application of computer vision to vehicular traffic, developing road information extraction systems. And also in the area of object tracking and 3D modeling for application in robotics. I worked in the automotive industry developing microcontrolled systems to aid in wiring assembly.

I have 14 years of teaching experience (since 2009) with several various undergraduate and graduate courses under my belt, related to the areas of circuits, communications, signal processing, and processor architecture.

I am currently an independent software developer and advisor on projects related to computer vision and embedded systems. I also work as a professor in the electronic engineering department of the Pontificia Universidad Javeriana; I am in charge of several university chairs in related subjects.

I love birds, photography, astronomy, 3d printing, and hiking.

calderonf

Connect with me:

pacho_calderon calderonf FranciscoCarlosCalderon

Languages and Tools:

arduino c cplusplus git linux python

Francisco Carlos Calderon's Projects

bbox-label-tool-multi-class icon bbox-label-tool-multi-class

An adaptation to the BBox-Label-Tool used in a multi class environment, created for the: "Secretaria de movilidad, Bogotá Colombia"

cola_c icon cola_c

implementacion simple de cola en C

controlpotencia icon controlpotencia

es un control de potencia para Homeassistant usando un medidor de potencia bidireccional de tuya.

darkmark icon darkmark

Marking up images for use with Darknet.

dh-p2p icon dh-p2p

A proof of concept implementation of RTSP over Dahua P2P protocol.

facedetectionandtracking icon facedetectionandtracking

Functional and real time face tracker baded in Opencv with Haar Cascades as detector and Mosse as tracking algorithms

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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