KentaItakura/Data-Augmentation-using-Mix-up-with-Custom-Training-Loop-with-MATLAB

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KentaItakura/Data-Augmentation-using-Mix-up-with-Custom-Training-Loop-with-MATLAB

KentaItakura

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Data Augmentation using Mix-up with Custom Training Loop

Crack-detection-using-one-class-SVM

This demo shows how to detect the crack images using one-class SVM using MATLAB.

Image-Classification-using-CNN-with-Multi-Input-using-MATLAB

This demo shows how to implement convolutional neural network (CNN) for image classification with multi-input.

Explainable-AI-interpreting-the-classification-performed-by-deep-learning-with-LIME-using-MATLAB

This demo shows how to interpret the classification by CNN using LIME (Local Interpretable Model-agnostic Explanations)

video_classification_LSTM_matlab

This is a simple example of video classification using LSTM with MATLAB.

Classify-crack-image-and-explain-why-using-MATLAB

This repo shows how to classify crack images and discuss the result with grad-cam

blog-post-about-conjoint-analysis-

This repo contains files for the blog post about conjoint analysis

Jupyter Notebook

Image-classification-using-oversampling-imagedatastore

This example shows how to classify images for imbalanced training dataset using oversampling

blog-post-about-PCA

このページでは、主成分分析について詳しく説明し、MATLABコードによる実装を通した理解の確かめや、Pythonコードによる主成分分析の例を示します。

Jupyter Notebook

CNN-classification-using-random-erasing-and-cut-out

This demo shows how to perform random erasing/cut out augmentation in CNN classification using MATLAB.

movie2gif-using-MATLAB

This script converts movies into gif file using MATLAB.

Dimension-reduction-and-clustering-for-images-using-MATLAB

This demo shows how to perform image clustering and dimension reduction using a pre-trained network.

Directions-API-Test-using-Python

以下のブログの記事に関するコードをまとめています。

Jupyter Notebook

Semantic-segmentation-using-Pascal-VOC-with-MATLAB

This example shows how to train a semantic segmentation network using deep learning.

spam-mail-classification-using-machine-learning-with-matlab-in-Japanese-

Explainable-AI-interpreting-the-classification-using-score-CAM

This repo shows a MATLAB implementation of score-CAM (Wang et al., CVPR workshop, 2020). This method is the first gradient-free CAM-based visualization method for explaining CNN decision.

Visualize-geographical-data-using-folium

This repo shows how to plot GNSS data obtained by MATLAB mobile using a python library, folium.

Jupyter Notebook

Blog-Post-about-Single-Image-Super-Resolution-

Files for the blog post about super resolution (Japanese) are uploaded here

how-to-calculate-average-precision-for-object-detection

PR曲線を用いた平均適合率の計算の方法についての説明と、実装による理解の確認を行います。

Blog-post-about-exposure-correction-Afifi-et-al.-CVPR-2021-

This is the source file of my blog post about exposure correction

Visualizing-a-hyper-plane-in-SVM-classifier

This repo shows how to visualize hyper-plane in SVM (Support Vector Machine).

Jupyter Notebook

blog-post-about-how-to-prepare-drafts

KentaItakura.github.io

blog-post-about-image-thresholding

2値化について説明したブログ記事のコードや本文のファイルをアップロードしています。

Jupyter Notebook

MATLAB-NeRF

run-gdal-using-docker-image-on-Windows

blog-post-about-python-tips

This repo stores codes and manuscripts for the blog post regarding "python tips".

Jupyter Notebook

Visualize-Velodyne-HDL32-data-using-MATLAB

blog-post-about-voxel-plotter

このリポジトリは、以下のブログ記事で用いられたコードを扱います。

Convert-HEIC-into-jpg-using-ImageMagick

Jupyter Notebook