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followers: 632.0 following: 101.0 repos: 243.0 gists: 0.0

Name: KazuhitoTakahashi

Type: User

Location: Aichi, Japan

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About Me

名古屋で組込みエンジニア(C/C++)をしていました。
I was an embedded engineer(C/C++) in Japan Aichi Nagoya.
最近は画像処理(C++/Python)、Web(Azure/AWS/SFDC)やIoTの仕事もしています。
Recently I've been working on image processing(C++/Python), Web Application(Azure/AWS/SFDC) and IoT.
機械学習やKaggle勉強中(🥉×２)です。
Currently studying machine learning and Kaggle(🥉×2)
物体検出やセマンティックセグメンテーションに興味があります。
I am interested in ObjectDetection and SemanticSegmentation

Works

リポジトリ一覧、寄稿等は「WORKS.md」を参照ください。
※画像を多く使用しており通信量が多くなる懸念があるため、モバイル回線や通信料従量制の方はご注意ください
　また、サムネイルの画像が小さいため、PCでの閲覧を推奨しています
Please refer to "WORKS.md" for the list of repositories and contributions.
Because many images are used and there is a concern that the amount of communication will increase,
please be careful if you are using a mobile line or a pay-as-you-go communication system.
Also, since the thumbnail image is small, we recommend viewing it on a PC.

Gitstar Ranking

「Gitstar Ranking(Kazuhito00)」にてスター数の多いリポジトリが確認できます。
You can check repositories with many stars on "Gitstar Ranking(Kazuhito00)".

Recent Blog Posts

How to reach me

何かご相談の際には、TwitterのDMから連絡をお願いします。
If you have any questions, please contact us via Twitter DM.

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Technologies

KazuhitoTakahashi's Projects

pycon-mini-shizuoka-2021-talk4

PyCon mini Shizuoka 2021「トーク4 - Raspberry Pi 4でリアルタイムなディープラーニング」の補足資料

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

python

All Algorithms implemented in Python

qiita-adventcalendar-20201212-opencv

Qiita OpenCV アドベントカレンダー(2020年12月12日)の投稿用のサンプル集です。OpenCVでのデモ時に見栄えを工夫したものをまとめています。

ro-gan-using-lightweight-gan

Lightweight GANを用いてラグナロクオンラインのキャラクター画像を生成するGAN

royalty-free-360-degree-images

ロイヤリティフリーの360度画像

sahi

A lightweight vision library for performing large scale object detection/ instance segmentation.

sahi-yolox-onnx-sample

SAHI(Slicing Aided Hyper Inference)をYOLOX(ONNX)で動かしたサンプル

sci-onnx-sample

Low-Light Image EnhancementモデルであるSCIのPythonでのONNX推論サンプル

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.

sendgrid-colaboratory

SendGridのPython APIでGoogle Colaboratoryからメールを送信するサンプル。

simple-annotation-on-colab

colab_utils.pyを使用しColaboratory上で簡易なアノテーションを実施。オリジナル版のバウンディングボックスのアノテーション機能の他に、試験的に多角形のアノテーション機能を追加。

simple-virtual-mouse-using-mediapipe

MediaPipeを用いたハンドジェスチャーによる簡単なマウス操作を行うプログラムです。

single-hand-localization

単一の手の位置推定を行う試験的なモデルです。手のXY座標とクラス分類結果(無し、パー、グー)の出力を行います。

skin-clothes-hair-segmentation-using-smp

3クラス(肌、服、髪)のセマンティックセグメンテーションを実施するモデル(A model that performs semantic segmentation of 3 classes(skin, clothes, hair))

skyar

Dynamic sky replacement and harmonization in videos

spade-pix2pix-for-anime

pix2pix with SPADE in order to generate from segmented label to anime illust

stable-diffusion

supergluepretrainednetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

tensorflow-similarity-mnist-sample

TensorFlow Similarity を用いてMNISTで距離学習を実施するサンプルです。

tensorflow-yolov4-tflite

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

tensorflow2-keras-learn

Tensorflow2のkerasの勉強の記録(社内向けハンズオン資料等)

tensorflow2-objectdetectionapi-colab-hands-on

Tensorflow2 Object Detection APIのハンズオン用資料です(Hands-on documentation for the Tensorflow2 Object Detection API)

tf-keras-applications-cifar10-example

Tensorflow Keras applicationsを用いてCIFAR10を学習する例

tf-lite-unity-sample

TensorFlow Lite Samples on Unity

tf-simple-metric-learning

Simple metric learning methods via tf.keras

tf2-keras-explain-examples

Tensorflowの可視化解釈ライブラリ(tf-explain、Grad-CAM等)のJupyter上での実行例。

tflite-modelmaker-efficientdet-colab-hands-on

TensorFlow Lite Model Makerで物体検出を行うハンズオン用資料です(Hands-on for object detection with TensorFlow Lite Model Maker)

tfrecord-viewer

TFRecord Viewer for browsing contents of TFRecords with object detection/classification annotations.

the-algorithm

Source code for Twitter's Recommendation Algorithm

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