This contains the solutions to the assignments given in The School of AI - Extensive Vision AI 4.0 EVA4
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Updated
Aug 25, 2022 - Jupyter Notebook
This contains the solutions to the assignments given in The School of AI - Extensive Vision AI 4.0 EVA4
Estimating the parameters of a mathematical model to approximate the properties of a physical camera.
This contains the solutions to the assignments given in The School of AI - Extensive Vision AI 4.0 EVA4 Phase2
Deep Learning Projects in TSAI - Extensive Vision AI 4
PyTorch implementation of sleep-stage classifier using photoplethysmography (PPG) data.
Implementation of TSAI camera calibration to compute intrinsic and extrinsic of the camera, with visualization of extrinsics.
My MSC thesis: Time-Series COIN (Contextual Outlier Interpretation) implementation, TSCOIN vs SHAP, Training & HP tuning of TSAI & PyTorch models using W&B ---- code & thesis
predict stock market ( KOSPI , 코스피)
Calibrating camera using Tsai camera calibration method
Extended Computer Vision Deep Learning based repo
Repository for phase 1 of the EVA-5.
LaserMat is a computer vision library written in MatLab, thought for laser triangulation-based systems. It allows to calibrate the system using [Tsai] calibration algorithm, to conveter the coordinate from the image referece system to the world referece system and vice-versa. Furthermore, it contains some filters for image and laser processing.
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