SIN-393 - Introduction to computer vision (2023)

Prof. João Fernando Mari (joaofmari.github.io)

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Lecture 01 - Classifying images

• Slides (EN)
• Slides (PT-BR)
• Notebook (EN) - Part 1
• Notebook (EN) - Part 2
• Notebook (EN) - Part 3

Lecture 02 - Introduction to Python

• Notebook (EN)

Lecture 03 - Introdução ao NumPy

• Notebook (EN)

Lecture 04 - Artificial Neural Networks

• Slides (EN)
• Slides (PT-BR)
• Notebook (EN) - Part 1
• Notebook (EN) - Part 2
• Notebook (EN) - Part 3
• Notebook (EN) - Part 4

Lecture 05 - Artificial Neural Networks and Deep Learning

• Slides (EN)
• Slides (PT-BR)
• Notebook (EN) - Part 1a
• Notebook (EN) - Part 1b
• Notebook (EN) - Part 1c
• Notebook (EN) - Part 2a
• Notebook (EN) - Part 2b
• Notebook (EN) - Part 3a
• Notebook (EN) - Part 3b

Lecture 06 - Convolutional Neural Networks

• Slides (EN)
• Slides (PT-BR)
• Notebook (EN) - Part 1
• Notebook (EN) - Part 2
• Notebook (EN) - Part 3
• Notebook (EN) - Part 4

Lecture 07 - Other classifiers - K-NN, Bayes, SVM, ...

• Slides (PT-BR)
• Notebook (EN)

Lecture 08 - Object detection

• Slides (PT-BR)
• Notebook (EN) - Part 1
• Notebook (EN) - Part 1

Lecture 09 - Image segmentation

• Slides (PT-BR)
• Notebook (EN)

Creating a conda environment for the course

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Without GPU

    $ conda create -n env-sin393-cpu-py39 python=3.9
    $ conda activate env-sin393-cpu-py39

    $ conda install pytorch torchvision torchaudio cpuonly -c pytorch
    
    $ pip install notebook
    $ pip install matplotlib
    $ pip install scikit-image
    $ pip install scikit-learn
    $ pip install pandas
    $ pip install seaborn
    $ pip install ipywidgets
    $ pip install ipympl
    $ pip install graphviz
    $ pip install opencv-python
    

With GPU

    $ conda create -n env-sin393-py39 python=3.9
    $ conda activate env-sin393-py39

    $ conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia
    $ conda install chardet
    $ pip install notebook
    $ pip install matplotlib
    $ pip install scikit-image
    $ pip install scikit-learn
    $ pip install pandas
    $ pip install seaborn
    $ pip install ipywidgets
    $ pip install ipympl
    $ pip install graphviz
    $ pip install opencv-python
    $ pip install albumentations

You can easily save and load a conda environment:

• Saving an environment:

    $ conda env export > env-sin393-cpu-py39.yml

• Loading an environment:

    $ conda env create -f env-sin393-cpu-py39.yml 

• I provide YML files for the CPU and GPU conda environment.

    env-sin393-cpu-py39.yml
    env-sin393-py39.yml

Bibliography

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• GONZALEZ, R.C.; WOODS, R.E. Digital Image Processing. 3. ed. Pearson, 2007.
• COSTA, L.F.; CÉSAR-JR., R.M. Shape analysis and classification: Theory and practice. 1. ed. CRC Press, 2000.
• DUDA, R.O.; HART, P.E.; STORK, D.G. Pattern Classification. Wiley, 2001.
• CHITYALA, R.; PUDIPEDDI, S. Image processing and acquisition using Python. CRC Press, 2014.
• MARQUES FILHO, O.; VIEIRA NETO, H. Processamento digital de imagens. Brasport, 1999.
• PONTI, M; COSTA, G. B. P. Como funciona o Deep Learning. Computer Vision and Pattern Recognition. 2017.
  • https://arxiv.org/abs/1806.07908
  • http://dainf.ct.utfpr.edu.br/~hvieir/pub.html
• PONTI, M. Everything you wanted to know about Deep Learning for Computer Vision but were afraid to ask. SIBGRAPI 2017 Tutorial.
  • http://conteudo.icmc.usp.br/pessoas/moacir/p17sibgrapi-tutorial/
• CS231n: Convolutional Neural Networks for Visual Recognition.
  • http://cs231n.stanford.edu/
• GOODFELLOW, I.; BENGIO, Y.; COURVILLE, A. Deep Learning. MIT Press, 2016.
  • http://www.deeplearningbook.org
• NIELSEN, M. Neural Networks and Deep Learning. On-Line Book.
  • http://neuralnetworksanddeeplearning.com

How to cite

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• How to cite this material:

    @misc{mari_comp_vis_2023,
        author = {João Fernando Mari},
        title = {Introduction to computer vision},
        year = {2023},
        publisher = {GitHub},
        journal = {GitHub repository},
        howpublished = {\url{https://github.com/joaofmari/SIN393_Introduction-to-computer-vision_2023}}
    }

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João Fernando Mari - UFV-CRP - 2023 - joaofmari.github.io - joaof.mari@ufv.br