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vision

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Curso de Visión por Computador

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# Vision por Computador

## Planificacion del curso por dia
(este material tambien esta disponible en las clases de cada capitulo)

### Clase 01 Ju. 07-Aug-2025:
* 0.1 **PRESENTACIÓN DEL CURSO**
* 0.1 &nbsp; &nbsp; &nbsp;  Programa del Curso (oficial) [[PDF]](https://github.com/domingomery/vision/blob/master/clases/Cap00_Lineas_Generales/program/CV00_ProgramaCurso.pdf)
* 0.1 &nbsp; &nbsp; &nbsp;  PPT: Programa del Curso [[PPT]](https://www.dropbox.com/scl/fi/s76vsm8d24pei7zqa8tv9/2025-CV00_PresentationCurso.pptx?rlkey=w7pth5252r8okb78l415ms42u)
* 0.1 **Bibliografía**
* 0.1 &nbsp; &nbsp; &nbsp;  Libro: Neural Networks and Deep Learning (Aggarwal, 2019) [[Book]](https://link.springer.com/book/10.1007%2F978-3-319-94463-0)
* 0.1 &nbsp; &nbsp; &nbsp;  Libro: Deep Learning (Goodfellow, 2016) [[Book]](http://www.deeplearningbook.org)
* 0.1 &nbsp; &nbsp; &nbsp;  Libro: Computer Vision (Szeliski, 2010) [[Book]](http://szeliski.org/Book/)
* 0.1 &nbsp; &nbsp; &nbsp;  Libro: Multiple View Geometry in Computer Vision (Hartley, 2004) [[Book]](https://www.r-5.org/files/books/computers/algo-list/image-processing/vision/Richard_Hartley_Andrew_Zisserman-Multiple_View_Geometry_in_Computer_Vision-EN.pdf)
* 0.1 &nbsp; &nbsp; &nbsp;  Libro: Computer Vision for X-ray Testing (Mery, Pieringer, 2021) [[Book]](https://domingomery.ing.puc.cl/publications/book/)
* 0.1 &nbsp; &nbsp; &nbsp;  Libro: Computer Vision for X-ray Testing (Mery, 2015 - Muestra Gratis) [[Book]](https://www.dropbox.com/s/6ojxn5h1s0dxhd4/bok%253A978-3-319-20747-6.pdf)
* 0.1 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): Programa del Curso [[YouTube]](https://youtu.be/yEfOAJRQ73k)
* 1.1 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): Definiciones, historia, perspectiva [[YouTube]](https://youtu.be/fzVcnn5cxCA)
* 2.1 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): coordenadas homogeneas, lineas, puntos [[YouTube]](https://youtu.be/IS8asEOXbzs)

### Clase 02 Ma. 12-Aug-2025:
* 1.1 **INTRODUCCIÓN**
* 1.1 &nbsp; &nbsp; &nbsp;  PPT: Definiciones [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap01_Introduccion/presentations/CV01_Definitions.pptx)
* 1.1 **GEOEMETRÍA**
* 2.1 &nbsp; &nbsp; &nbsp;  PPT: Coordenadas homogeneas: puntos, lineas, planos [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/CV02_PointsLinesPlanes.pptx)
* 2.1 &nbsp; &nbsp; &nbsp;  Python: Ejemplo puntos  y lineas [[Colab]](https://colab.research.google.com/drive/146tZRDi1aMUcAEUHICZm9u5n5tkYe8P2)
* 1.2 &nbsp; &nbsp; &nbsp;  PPT: Historia (parte 1) [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap01_Introduccion/presentations/CV01_History_1.pptx)
* 2.1 &nbsp; &nbsp; &nbsp;  Apuntes: Ejercicios puntos  y lineas [[Guia de Ejercicio]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/practice/CV02_EjePuntosLineas.pdf)

### Clase 03 Ju. 14-Aug-2025:
* 2.1 **GEOEMETRÍA (cont.)**
* 2.1 &nbsp; &nbsp; &nbsp;  Python: Trabajo en Clase: E01 - Donde mira John Lennon [[Colab]](https://colab.research.google.com/drive/1knJgA6L62IgbMOsqjhbtHxLOsNHICnJn?usp=sharing)
* 2.1 &nbsp; &nbsp; &nbsp;  Python: Trabajo en Clase: E01 - Soluucion [[Colab]](https://colab.research.google.com/drive/1sL1eKDIR5CBX5RNqwA4BiVN4c8WtKNfD?usp=sharing)
* 2.1 &nbsp; &nbsp; &nbsp;  PPT: Transformaciones 2D-2D [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/CV02_Transformation2D.pptx)
* 2.3 &nbsp; &nbsp; &nbsp;  PPT: Homografias [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/CV02_Homography.pptx)
* 2.1 &nbsp; &nbsp; &nbsp;  Apuntes: Geometria en Vision por Computador [[PDF]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/2004-ApuntesVision.pdf)
* 1.2 &nbsp; &nbsp; &nbsp;  Apuntes: Vanishing points - perspective [[Video]](https://www.khanacademy.org/humanities/renaissance-reformation/early-renaissance1/beginners-renaissance-florence/v/how-one-point-linear-perspective-works)
* 1.2 &nbsp; &nbsp; &nbsp;  Video: Maquina de la perspectiva [[Video]](https://www.youtube.com/watch?v=8s1LzIrWbE8)
* 2.1 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): > Python: Trabajo en Clases - John Lennon [[YouTube]](https://youtu.be/32UN03En7WU)
* 2.1 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): Transformaciones 2D, homografias [[YouTube]](https://youtu.be/bFTwmL_oHGE)
* 1.1 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): Definiciones, historia, perspectiva [[YouTube]](https://youtu.be/fzVcnn5cxCA)

### Clase 04 Ma. 19-Aug-2025:
* 2.1 **GEOEMETRÍA (cont.)**
* 2.3 &nbsp; &nbsp; &nbsp;  Python: Ejemplo Homografias [[Colab]](https://colab.research.google.com/drive/10D7Q7r11MuWL2-fNRt2lSqCpSVkvytin)
* 2.1 &nbsp; &nbsp; &nbsp;  Apuntes: Ejercicio Homografias [[PDF]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/CV02_EjercicioHomografias.pdf)
* 2.1 &nbsp; &nbsp; &nbsp;  Python: Ejemplo Transformaciones 3D [[Colab]](https://colab.research.google.com/drive/1ntbUB7Dc3is7fxu3Z6at46DdOeK-nJO3)
* 1.2 &nbsp; &nbsp; &nbsp;  PPT: Historia (parte 2) [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap01_Introduccion/presentations/CV01_History_2.pptx)
* 2.2 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): Transformaciones 3D, perspectiva [[YouTube]](https://youtu.be/wfcMCeb8Fzk)
* 2.3 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): > Python: Trabajo en Clases - Rectificacion geometrica [[YouTube]](https://youtu.be/_6ps8YMsWc8)

### Clase 05 Ju. 21-Aug-2025:
* 2.1 **GEOEMETRÍA (cont.)**
* 2.1 &nbsp; &nbsp; &nbsp;  PPT: Transformaciones 3D-3D [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/CV02_Transformation3D.pptx)
* 2.1 &nbsp; &nbsp; &nbsp;  PPT: Transformaciones 3D-2D [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/CV02_Transformation3D2D.pptx)
* 2.3 &nbsp; &nbsp; &nbsp;  Python: Trabajo en Clase E02: Rectificacion de reloj [[Colab]](https://colab.research.google.com/drive/1w0Q0Rki1S4F9sYcBnmGhW-et7FEBJBLF?usp=sharing)
* 2.3 &nbsp; &nbsp; &nbsp;  Python: Trabajo en Clase E02: Rectificacion de reloj SOLUCION [[Colab]](https://colab.research.google.com/drive/18kVSEnN9SSNCfRLzbJrj61L_JEHV4iyi?usp=sharing)
* 2.2 &nbsp; &nbsp; &nbsp;  Apuntes: Demostracion minimos cuadrados [[Apuntes]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/CV02-SolucionMinAx-b_LS.pdf)
* 2.2 &nbsp; &nbsp; &nbsp;  Apuntes: Demostracion descomposicion SVD [[Apuntes]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/CV02-SolucionMinAx.pdf)

### Clase 06 Ma. 26-Aug-2025:
* 2.1 **GEOEMETRÍA (cont.)**
* 2.2 &nbsp; &nbsp; &nbsp;  PPT: Estimacion de parametros en modelos geometricos [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/CV02_EstimacionParametros.pptx)
* 2.2 &nbsp; &nbsp; &nbsp;  PPT: Calibracion [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/CV02_Calibration.pptx)
* 2.2 &nbsp; &nbsp; &nbsp;  PPT: Estimacion de parametros en modelos geometricos (RANSAC) [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/CV02_EstimacionParametros.pptx)
* 2.2 &nbsp; &nbsp; &nbsp;  Python: Ejemplo de Estimacion de una recta con RANSAC [[Colab]](https://colab.research.google.com/drive/1ldp2iAmeHhkAP6iexp50v4vKtHziDc_g)
* 2.2 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): Estimacion de parametros [[YouTube]](https://youtu.be/8M4XaoHoo_w)

### Clase 07 Ju. 28-Aug-2025:
* 2.1 **GEOEMETRÍA (cont.)**
* 2.3 &nbsp; &nbsp; &nbsp;  PPT: Mosaicos [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/CV02_Mosaicos.pptx)
* 2.2 &nbsp; &nbsp; &nbsp;  Python: Ejemplo Mosaicos con SIFT [[Colab]](https://colab.research.google.com/drive/1LCOOdZDg5KN10ZBVcnyw1Xt_QUoIcCGs)
* 2.2 &nbsp; &nbsp; &nbsp;  Video: Clase sobre SIFT (2021) de Reconocimieto de Patrones [[YouTube]](https://youtu.be/BeqJf-W4ob8)
* 2.2 &nbsp; &nbsp; &nbsp;  Python: Ejemplo de Calibracion [[Colab]](https://colab.research.google.com/drive/1IMUT3diQ3be7DOV2Vp4xbT831rFtfEH5)
* 2.2 &nbsp; &nbsp; &nbsp;  Python: Ejemplo Calibracion Pro [[Colab]](https://colab.research.google.com/drive/1c1RFOMTk5sNxoTyFieeBEG4BLxZSv_NI)
* 2.2 &nbsp; &nbsp; &nbsp;  Python: Ejemplo Calibracion No Lineal [[Colab]](https://colab.research.google.com/drive/1zDpc80ujX06jeKeC3obch3GsrucpLzQd?usp=sharing)
* 2.2 &nbsp; &nbsp; &nbsp;  Python: Trabajo en Clases E03: Calibrar camara de proyecto [[Colab]](https://colab.research.google.com/drive/1ecSa61hoWgsgfbIyISshOmi5tKI3oZ0E?usp=sharing)
* 2.3 &nbsp; &nbsp; &nbsp;  Python: Solucion al > Python: Trabajo en Clase E03 [[Colab]](https://colab.research.google.com/drive/xxxxx)
* 2.2 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): > Python: Trabajo en Clases - Calibracion [[YouTube]](https://youtu.be/qLRzigdAWkE)

### Clase 08 Ma. 02-Sep-2025:
* 2.1 **GEOEMETRÍA (cont.)**
* 2.2 &nbsp; &nbsp; &nbsp;  PPT: Reconstruccion 3D [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/CV02_Reconstruction3D.pptx)
* 2.1 &nbsp; &nbsp; &nbsp;  Apuntes: Geometria en Vision por Computador [[PDF]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/2004-ApuntesVision.pdf)
* 2.1 &nbsp; &nbsp; &nbsp;  Python: Ejemplo Reconstruccion 3D (python) [[Colab]](https://colab.research.google.com/drive/1YF6EUdH8PhAaPfmGfvBZ6HMKTQUcvBlg?usp=sharing)
* 2.2 &nbsp; &nbsp; &nbsp;  Python: Calibracion Python [[Python]](https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_calib3d/py_calibration/py_calibration.html)
* 2.2 &nbsp; &nbsp; &nbsp;  Matlab: Ejemplo 3D de una piramide [[Matlab]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/matlab/CV02_3DPyramid.m)
* 2.2 &nbsp; &nbsp; &nbsp;  Matlab: Ejemplo perspectiva (GUI) [[Matlab]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/matlab/CV02_Perspective.m)
* 2.2 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;  Ejemplo perspectiva (fig file necesario para GUI) [[Matlab]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/matlab/CV02_Perspective.fig)
* 2.2 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;  Ejemplo perspectiva (funcion necesaria para GUI) [[Matlab]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/matlab/CV02_experspec.m)
* 2.2 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;  Ejemplo perspectiva (funcion necesaria para GUI) [[Matlab]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/matlab/CV02_meshplot.m)
* 2.2 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;  Ejemplo perspectiva (datos mesh para GUI) [[Matlab]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/matlab/meshpoints.mat)
* 2.2 &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;  Ejemplo perspectiva (datos de perspectiva para GUI) [[Matlab]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/matlab/perspecdata.mat)
* 2.1 &nbsp; &nbsp; &nbsp;  Apuntes: Ejercicios de transformaciones 2D y 3D [[Guia de Ejercicio]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/practice/CV02_Transformaciones.pdf)
* 2.2 &nbsp; &nbsp; &nbsp;  Video: Video de ejemplo de Reco 3D [[YouTube]](https://youtu.be/qYaU1GeEiR8)
* 2.2 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): Transformaciones 3D, perspectiva [[YouTube]](https://youtu.be/wfcMCeb8Fzk)
* 2.2 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): Reconstruccion 3D, calibracion [[YouTube]](https://youtu.be/0emGMydd39Y)

### Clase 09 Ju. 04-Sep-2025:
* 2.1 **GEOEMETRÍA (cont.)**
* 2.4 &nbsp; &nbsp; &nbsp;  PPT: Geometria Epipolar [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/CV02_EpipolarGeometry.pptx)
* 2.4 &nbsp; &nbsp; &nbsp;  Python: Ejemplo geometria epipolar [[Colab]](https://colab.research.google.com/drive/1q7bruJ-XaXKnmIoDuPF1AjEBmlq4XC67)
* 2.4 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): Geometria epipolar [[YouTube]](https://youtu.be/TSgDqprBfbk)
* 2.4 &nbsp; &nbsp; &nbsp;  Python: Trabajo en Clase E04: Geometria epipolar [[Colab]](https://colab.research.google.com/drive/xxxx)
* 2.4 &nbsp; &nbsp; &nbsp;  Python: Solución al Trabajo en Clase E04 [[Colab]](https://colab.research.google.com/drive/xxxx)
* 2.4 &nbsp; &nbsp; &nbsp;  PPT: Proyecto [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/CV02_Proyecto.pptx)

### Clase 10 Ma. 09-Sep-2025:
* 2.1 **GEOEMETRÍA (cont.)**
* 2.4 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): > Python: Trabajo en Clases - Geometria epipolar [[YouTube]](https://youtu.be/Qx3oS9dOUXc)
* 2.4 &nbsp; &nbsp; &nbsp;  Demo Geometría Epipolar [[Matlab]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/matlab/CV02_EpiDemo_3D.m)
* 2.4 &nbsp; &nbsp; &nbsp;  PPT: Aplicaciones de multiples vistas [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/CV02_MultipleViewXrayApplications.pptx)

### Clase 11 Ju. 11-Sep-2025:
* 2.1 **GEOEMETRÍA (cont.)**
* 2.4 &nbsp; &nbsp; &nbsp;  PPT: Geometria Trifocal [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/CV02_TrifocalGeometry.pptx)
* 2.4 &nbsp; &nbsp; &nbsp;  Python: Ejemplo de Geometria Trifocal [[Colab]](https://colab.research.google.com/drive/1T8FIaD3EJwBBM9dwdAaPTDIsRVKeK6De)
* 2.4 &nbsp; &nbsp; &nbsp;  Matlab: Geometria Trifocal [[Matlab]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/matlab/CV02_TrifocalGeometry.m)
* 2.4 &nbsp; &nbsp; &nbsp;  Apuntes: Resumen del capitulo [[PDF]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/CV02_EsquemaResumen.pdf)
* 2.4 &nbsp; &nbsp; &nbsp;  Apuntes: Geometria en Vision por Computador [[PDF]](https://github.com/domingomery/vision/blob/master/clases/Cap02_Geometria/presentaciones/2004-ApuntesVision.pdf)
* 2.4 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): Geometria trifocal, multiples vistas [[YouTube]](https://youtu.be/2tVptJDCDc8)
* 0.1 &nbsp; &nbsp; &nbsp;  Libro: Computer Vision for X-ray Testing (Mery, Pieringer, 2021) [[Book]](https://domingomery.ing.puc.cl/publications/book/)
* 0.1 &nbsp; &nbsp; &nbsp;  Libro: Computer Vision for X-ray Testing (Mery, 2015 - Muestra Gratis) [[Book]](https://www.dropbox.com/s/6ojxn5h1s0dxhd4/bok%253A978-3-319-20747-6.pdf)

### Clase 12 Ma. 23-Sep-2025:
* 3.1 **DEEP LEARING**
* 3.1 &nbsp; &nbsp; &nbsp;  PPT: Introduccion a Deep Learning [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap03_DeepLearning/presentations/CV03_Introduccion.pptx)
* 3.1 &nbsp; &nbsp; &nbsp;  PPT: CNN [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap03_DeepLearning/presentations/CV03_CNN.pptx)
* 3.1 &nbsp; &nbsp; &nbsp;  Apuntes: Intro a Redes Neuronales (material de Patrones) [[Link]](https://github.com/domingomery/patrones?tab=readme-ov-file#clase-20-ma-27-may-2025)
* 3.1 &nbsp; &nbsp; &nbsp;  Apuntes: Como usar Pytorch para entrenar CNN [[Blog]](https://medium.com/thecyphy/train-cnn-model-with-pytorch-21dafb918f48)
* 3.1 &nbsp; &nbsp; &nbsp;  Python: Ejemplos CNN (en VisionColab) [[Colab]](https://github.com/domingomery/visioncolab#-image-classification)
* 3.1 &nbsp; &nbsp; &nbsp;  Video: Video complementario para CNN [[YouTube]](https://youtu.be/cN_X4-0D1wg)
* 3.1 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): Introduccion a Deep Learning [[YouTube]](https://youtu.be/tRQfQln8ZXQ)
* 3.1 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): CNN [[YouTube]](https://youtu.be/RopqLlyndlU)

### Clase 13 Ma. 30-Sep-2025:
* 3.1 **DEEP LEARING (cont.)**
* 3.1 &nbsp; &nbsp; &nbsp;  Python: Trabajo en Clases E05: Entrenamiento CNN [[Colab]](https://colab.research.google.com/drive/1e7ENVJPpQsIX1_wrplXjzLx_KVdGmhDz?usp=sharing)
* 3.1 &nbsp; &nbsp; &nbsp;  Python: Solucion al > Python: Trabajo en Clase E05 [[Colab]](https://colab.research.google.com/drive/xxxx)
* 3.1 &nbsp; &nbsp; &nbsp;  Python: Ejemplo CNN ojo nariz [[Colab]](https://drive.google.com/file/d/1zXkffKtspfIrLIdxLeEGx0uxeSnyd0B-/view?usp=sharing)
* 3.1 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): > Python: Trabajo en Clases - CNN [[YouTube]](https://youtu.be/yD4T5rPJ9hE)

### Clase 14 Ju. 02-Oct-2025:
* 3.1 **DEEP LEARING (cont.)**
* 3.2 &nbsp; &nbsp; &nbsp;  PPT: Object Detection (YOLO) + Tracking [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap03_DeepLearning/presentations/CV03_ObjectDetection.pptx)
* 3.2 &nbsp; &nbsp; &nbsp;  Python: Ejemplo Object Detection con YOLO [[Colab]](https://drive.google.com/file/d/19cCPvz_OcT9cKk0NUgb3PnFMFYYHuvlP/view?usp=sharing)
* 3.2 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): YOLO [[YouTube]](https://youtu.be/-VcyIt0p7bA)

### Clase 15 Ma. 07-Oct-2025:
* 3.1 **DEEP LEARING (cont.)**
* 3.2 &nbsp; &nbsp; &nbsp;  Python: Trabajo en Clases E06: YOLO (Deteccion de Mascarilla) [[Colab]](https://colab.research.google.com/drive/xxxxxx)
* 3.2 &nbsp; &nbsp; &nbsp;  Python: Trabajo en Clases E06: solucion [[Colab]](https://colab.research.google.com/drive/xxxxxx)
* 3.2 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): > Python: Trabajo en Clases - YOLO [[YouTube]](https://youtu.be/yqOI0lKAJ_w)

### Clase 16 Ju. 09-Oct-2025:
* 3.1 **DEEP LEARING (cont.)**
* 3.1 &nbsp; &nbsp; &nbsp;  PPT: Facial Analysis [[PPT]](https://www.dropbox.com/s/k45nta3dn02vxpe/2021_AnalisisFacial_Teaching.pptx?dl=0)
* 3.1 &nbsp; &nbsp; &nbsp;  Python: Ejemplos Facial Analysis [[Colab]](https://github.com/domingomery/visioncolab#-facial-analysis)
* 3.1 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): Analisis facial [[YouTube]](https://youtu.be/GBeisP4GBz8)

### Clase 17 Ma. 14-Oct-2025:
* 3.1 **DEEP LEARING (cont.)**
* 3.1 &nbsp; &nbsp; &nbsp;  PPT: Facial Analysis - Analisis Social [[PPT]](https://www.dropbox.com/s/riu9yvy659ut4x5/2022-FacialAnalysis-Social.pptx?dl=0)
* 3.1 &nbsp; &nbsp; &nbsp;  Python: Face Recognition con AdaFace Basico [[Colab]](https://colab.research.google.com/drive/1gPxbtx0Ueqc3fSSNFGWhDULxDSajxrfZ)
* 3.1 &nbsp; &nbsp; &nbsp;  Python: Trabajo en Clases E07: Ejercicio de analisis facial [[Colab]](https://colab.research.google.com/drive/1oDR4I237g4QoMt80x-Rv7pvcRJAa5jaz?usp=sharing)
* 3.1 &nbsp; &nbsp; &nbsp;  Python: Solucion al > Python: Trabajo en Clase E07 [[Colab]](https://colab.research.google.com/drive/ossso)
* 3.1 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): > Python: Trabajo en Clases - Reconocimiento facial [[YouTube]](https://youtu.be/18U_41kq3N8)

### Clase 18 Ju. 23-Oct-2025:
* 3.1 **DEEP LEARING (cont.)**
* 3.4 &nbsp; &nbsp; &nbsp;  PPT: Unet [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap03_DeepLearning/presentations/CV03_UNet.pptx)
* 3.4 &nbsp; &nbsp; &nbsp;  Python: Ejemplos Segmentacion Unet [[Colab]](https://colab.research.google.com/drive/1DA1zOxQnhp9Lae7yIROa5rLV7aMNT0mn)
* 3.4 &nbsp; &nbsp; &nbsp;  Paper: UNet [[PDF]](https://arxiv.org/pdf/1505.04597.pdf)
* 3.4 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): Unet, GAN, deteccion de anomalias [[YouTube]](https://youtu.be/5Y9UprUtlfg)
* 3.4 &nbsp; &nbsp; &nbsp;  Python: Trabajo en Clases E08: Segmentacion con Unet [[Colab]](https://colab.research.google.com/drive/1WS0nMoBMpKlzJj81PMnwAW8124-1HVQB?usp=sharing)
* 3.4 &nbsp; &nbsp; &nbsp;  Python: Solucion al > Python: Trabajo en Clase E08 [[Colab]](https://colab.research.google.com/drive/xxxxxx)
* 3.4 &nbsp; &nbsp; &nbsp;  Tarea 02 [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap03_DeepLearning/presentations/CV03_Project-2025.pptx)

### Clase 19 Ma. 28-Oct-2025:
* 3.1 **DEEP LEARING (cont.)**
* 3.3 &nbsp; &nbsp; &nbsp;  PPT: GAN [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap03_DeepLearning/presentations/CV03_GAN.pptx)
* 3.3 &nbsp; &nbsp; &nbsp;  Python: Ejemplos GAN [[Colab]](https://github.com/domingomery/visioncolab#-generative-adversarial-network-gan)
* 3.3 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): Unet, GAN, deteccion de anomalias [[YouTube]](https://youtu.be/5Y9UprUtlfg)
* 3.2 Estadisticas para la deteccion del proyecto [[Colab]](https://colab.research.google.com/drive/1LDH79rK_BF9ZmYksOZ1iizWfNwJ0hsPr)

### Clase 20 Ju. 30-Oct-2025:
* 3.1 **DEEP LEARING (cont.)**
* 3.3 &nbsp; &nbsp; &nbsp;  Python: Trabajo en Clases E09: Creacion de imagenes con GAN [[Colab]](https://colab.research.google.com/drive/1MFV1VG_6P9eDOH7zG67A2kCxdeXZHCxB?usp=sharing)
* 3.3 &nbsp; &nbsp; &nbsp;  Python: Solución al Trabajo en Clases E09 [[Colab]](https://colab.research.google.com/drive/xxxxxx)
* 3.2 &nbsp; &nbsp; &nbsp;  PPT: Anomaly detection [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap03_DeepLearning/presentations/CV03_AnomalyDetection.pptx)
* 3.2 &nbsp; &nbsp; &nbsp;  Python: Ejemplos Anomaly Detection [[Colab]](https://colab.research.google.com/drive/14pSLbxh8ogFDCV2IjzQbVDMFXBb7aG4i)

### Clase 21 Ma. 04-Nov-2025:
* 3.1 **DEEP LEARING (cont.)**
* 3.2 &nbsp; &nbsp; &nbsp;  PPT: CLIP [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap03_DeepLearning/presentations/CV03_CLIP.pptx)
* 3.2 &nbsp; &nbsp; &nbsp;  Python: CLIP [[Colab]](https://drive.google.com/file/d/1gc58fR9cE1G1Uszu63P_9WnuHJx9-kKL)
* 3.2 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): Unet, GAN, deteccion de anomalias [[YouTube]](https://youtu.be/5Y9UprUtlfg)

### Clase 22 Ju. 06-Nov-2025:
* 3.1 **DEEP LEARING (cont.)**
* 3.3 &nbsp; &nbsp; &nbsp;  PPT: Transformers [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap03_DeepLearning/presentations/CV03_Transformers.pptx)
* 3.3 &nbsp; &nbsp; &nbsp;  Video: Tutorial de Transformers from Scratch by Umar Jamil [[YouTube]](https://youtu.be/bCz4OMemCcA)
* 3.3 &nbsp; &nbsp; &nbsp;  Apuntes: Tutorial de Transformers from Scratch by Umar Jamil [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap03_DeepLearning/presentations/CV03_Diagrams_V2_Transformers.pdf)
* 3.3 &nbsp; &nbsp; &nbsp;  Podcast Transformers (NotebookLM) [[Audio]](https://github.com/domingomery/vision/blob/master/clases/Cap03_DeepLearning/presentations/CV03_Transformers_Podcast.m4a)

### Clase 23 Ma. 11-Nov-2025:
* 3.1 **DEEP LEARING (cont.)**
* 3.3 &nbsp; &nbsp; &nbsp;  PPT: Visual Transformers (ViT) [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap03_DeepLearning/presentations/CV03_VisualTransformers.pptx)
* 3.3 &nbsp; &nbsp; &nbsp;  Python: Transformers with HugginFace [[Colab]](https://drive.google.com/file/d/1dKyjqNNgulTdObwSxyXJpaLq1RCZ-SrZ/view)
* 3.3 &nbsp; &nbsp; &nbsp;  Python: Trabajo en Clases E10: Ejercicio de Transformers [[Colab]](https://colab.research.google.com/drive/1ZYVRAl2lEGapBGrKa9BibQyYI4TpP9yH?usp=sharing)
* 3.3 &nbsp; &nbsp; &nbsp;  Python: Solución al Trabajo en Clases E10 [[Colab]](https://colab.research.google.com/drive/xxxxx)

### Clase 24 Ju. 13-Nov-2025:
* 4.1 **ÉTICA**
* 4.1 &nbsp; &nbsp; &nbsp;  PPT: Lo Bueno lo Malo y lo Feo de la IA [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap04_Etica/presentations/CV04_LoBuenoMaloFeo_IA.pptx)
* 4.1 Descripcion del Ensayo (T03) [[Canvas]](https://cursos.canvas.uc.cl/courses/77947/assignments/427654)

### Clase 25 Ma. 18-Nov-2025:
* 4.1 **DEEP LEARNING (cont.)**
* 3.3 &nbsp; &nbsp; &nbsp;  PPT: Stable Difussion [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap03_DeepLearning/presentations/CV03_StableDiffusion.pptx)
* 3.3 Difussion Models [[Nota]](https://www.superannotate.com/blog/diffusion-models)
* 4.1 **ÉTICA (cont.)**
* 4.2 &nbsp; &nbsp; &nbsp;  PPT: Desafios eticos en reconocimiento facial [[PPT]](https://www.dropbox.com/s/dpzx2nlr79y565k/2021-FaceEthics.pptx?dl=0)
* 4.1 &nbsp; &nbsp; &nbsp;  Paper: Fairness and Machine Learning: Barocas,Hardt, Narayanan [[Book]](https://fairmlbook.org/pdf/fairmlbook.pdf)
* 4.1 &nbsp; &nbsp; &nbsp;  Video: Ethics in AI: A Challenging Task - Ricardo Baeza-Yates [[YouTube]](https://youtu.be/rMU9pJCyJYY)
* 4.1 &nbsp; &nbsp; &nbsp;  Video: Fairness, part 1 - Moritz Hardt - MLSS 2020 [[YouTube]](https://youtu.be/Igq_S_7IfOU)
* 4.1 &nbsp; &nbsp; &nbsp;  Video: Fairness, part 2 - Moritz Hardt - MLSS 2020 [[YouTube]](https://youtu.be/9oNVFQ9llPc)
* 4.1 &nbsp; &nbsp; &nbsp;  Paper: A Tutorial on Fairness in Machine Learning [[Nota]](https://towardsdatascience.com/a-tutorial-on-fairness-in-machine-learning-3ff8ba1040cb)
* 4.2 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): Etica en reconocimiento facial [[YouTube]](https://youtu.be/IAVd_Dp1m2M)

### Clase 26 Ju. 20-Nov-2025:
* 4.1 **ÉTICA (cont.)**
* 4.2 &nbsp; &nbsp; &nbsp;  PPT: Desafios eticos en reconocimiento facial [[PPT]](https://www.dropbox.com/s/dpzx2nlr79y565k/2021-FaceEthics.pptx?dl=0)
* 4.1 &nbsp; &nbsp; &nbsp;  PPT: Federated / Swarm Learning [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap04_Etica/presentations/CV04_SwarmLearning.pptx)
* 4.1 &nbsp; &nbsp; &nbsp;  PPT: Explicabilidad [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap04_Etica/presentations/CV04_Explicabilidad.pptx)
* 4.1 &nbsp; &nbsp; &nbsp;  La nueva Ley 19628 de protección de datos personales Chile [[YouTube]](https://youtu.be/eH3crJoVc6Y?si=QTRXw8zzBWrrbCbG)
* 4.1 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): Explicabilidad [[YouTube]](https://youtu.be/skhnN2DJ7Xs)

### Clase 27 Ma. 25-Nov-2025:
* 4.1 **ÉTICA (cont.)**
* 4.1 &nbsp; &nbsp; &nbsp;  PPT: Bias y Fairness [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap04_Etica/presentations/CV04_Bias.pptx)
* 4.2 &nbsp; &nbsp; &nbsp;  PPT: Buenas Practicas [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap04_Etica/presentations/CV04_GoodPractices.pptx)
* 4.1 &nbsp; &nbsp; &nbsp;  PPT: Explicabilidad usando MinPlus [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap04_Etica/presentations/CV04_MinPlus_SaliencyMaps.pptx)
* 4.1 &nbsp; &nbsp; &nbsp;  Paper: MinPlus [[Paper]](https://openaccess.thecvf.com/content/CVPR2022W/Biometrics/papers/Mery_True_Black-Box_Explanation_in_Facial_Analysis_CVPRW_2022_paper.pdf)
* 4.1 &nbsp; &nbsp; &nbsp;  Python: MinPlus [[Colab]](https://colab.research.google.com/drive/1tDicgSXk0iEnsTA208Od4j9WUnxSFATO)
* 4.1 &nbsp; &nbsp; &nbsp;  PPT: Challenges [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap04_Etica/presentations/CV04_Challenges.pptx)
* 4.2 &nbsp; &nbsp; &nbsp;  E11 - Quiz (Canvas) [[Canvas]](https://cursos.canvas.uc.cl/courses/92380/assignments#)
* 4.1 &nbsp; &nbsp; &nbsp;  Video: Clase grabada (2021): Bias y fairness [[YouTube]](https://youtu.be/sNGriIvCtoY)
* 4.1 &nbsp; &nbsp; &nbsp;  PPT: Explicabilidad usando MinPlus [[PPT]](https://github.com/domingomery/vision/blob/master/clases/Cap04_Etica/presentations/CV04_MinPlus_SaliencyMaps.pptx)
* 4.1 Adversarial Attacks [[YouTube]](https://youtu.be/kxyacmVSGlI)

### Clase 28 Ju. 27-Nov-2025:
* 0.1 **APOYO PARA EL EXAMEN**
* 0.1 &nbsp; &nbsp; &nbsp;  Preguntas de Desarrollo - Examen 2023 [[PDF]](https://github.com/domingomery/vision/blob/master/clases/Cap00_Lineas_Generales/examenes/2023-Desarrollo_Preguntas.pdf)
* 0.1 &nbsp; &nbsp; &nbsp;  Preguntas de Desarrollo - Examen 2023 (Solución) [[PDF]](https://github.com/domingomery/vision/blob/master/clases/Cap00_Lineas_Generales/examenes/2023-Desarrollo_Solucion.pdf)
* 0.1 &nbsp; &nbsp; &nbsp;  Preguntas de Desarrollo - Examen 2024 [[PDF]](https://github.com/domingomery/vision/blob/master/clases/Cap00_Lineas_Generales/examenes/2024-Desarrollo_Preguntas.pdf)
* 0.1 &nbsp; &nbsp; &nbsp;  Preguntas de Desarrollo - Examen 2024 (Solución) [[PDF]](https://github.com/domingomery/vision/blob/master/clases/Cap00_Lineas_Generales/examenes/2024-Desarrollo_Solucion.pdf)
* 0.1 &nbsp; &nbsp; &nbsp;  NotebookLM del Curso [[NLM]](https://notebooklm.google.com/notebook/1ed383dd-2fca-4ed3-ab24-e1301d613522)
---

Updated on 28-Nov-2025 at 09:46 by Domingo Mery

vision

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