Napari 3D Ortho Viewer – an ortho viewer for napari for 3D images

Napari 3D Ortho Viewer – an ortho viewer for napari for 3D images This napari plugin was generated with Cookiecutter using @napari‘s cookiecutter-napari-plugin template. This plugin is heavily inspired by ortho-view-napari. Check out this post on image.sc (https://forum.image.sc/t/napari-visualization-in-3-planes/57768) for more infos about multiview support in napari. This viewer has some additional features: double click to jump to specific position in all slices additional 3d view of 3d stack with lines or planes indicating current position Installation You can install napari-3d-ortho-viewer […]

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An Advent calendar of small programming puzzles for a variety of skill sets and skill levels

English Advent of Code is an Advent calendar of small programming puzzles for a variety of skill sets and skill levels that can be solved in any programming language you like. Each challenge requires thinking of a way to solve it and it´s interesting to look at how others solve them with different languages and ideas. I’ve chosen Python as programming language to solve the puzzles. I’ll upload the solution for each puzzle of the day to the repository. Español […]

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Very Sempil Bot Auto Filter bot

Very Sempil Bot Auto Filter bot##[ # 𝐂𝐋𝐈𝐂𝐊 𝐁𝐄𝐋𝐎𝐖 𝐈𝐌𝐀𝐆𝐄 𝐓𝐎 𝐃𝐄𝐏𝐋𝐎𝐘👇👇👇 Auto Filter Manuel Filter IMDB Admin Commands Broadcast Index IMDB search Fun mode Inline Search Random pics ids and User info Stats, Users, Chats, Ban, Unban, Leave, Disable, Channel ℂ𝕆ℕ𝕋𝔸ℂ𝕋 Installation DEPLOY ON HEROKU

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Time ranges with python

Time ranges. Read the Docs Installation pip timeranges is available on pip: GitHub You can also install the latest version of the code directly from GitHub: pip install git+git://github.com/MicaelJarniac/timeranges Usage For more examples, see the full documentation. 10:00″ time_range = TimeRange(time(0), time(10)) # Check if these times are contained in `time_range` assert    

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Demo of spoofing detection (anti-spoof-mn3) for webcams

なりすまし検出(anti-spoof-mn3)のWebカメラ向けデモです。モデルはPINTO_model_zoo/191_anti-spoof-mn3からONNX形式のモデルを使用しています。 mediapipe 0.8.8 or later OpenCV 3.4.2 or later onnxruntime 1.8.1 or later デモの実行方法は以下です。 python demo_anti_spoof.py –deviceカメラデバイス番号の指定デフォルト:0 –widthカメラキャプチャ時の横幅デフォルト:1280 –heightカメラキャプチャ時の縦幅デフォルト:720 –model_selectionモデル選択(0:2m以内の検出に最適なモデル、1:5m以内の検出に最適なモデル)デフォルト:0 –min_detection_confidence検出信頼値の閾値デフォルト:0.7 –as_modelなりすまし検出モデルの格納パスデフォルト:anti-spoof-mn3/model_float32.onnx –as_input_sizeなりすまし検出モデルの入力サイズデフォルト:128,128 高橋かずひと(https://twitter.com/KzhtTkhs) FaceDetection-Anti-Spoof-Demo is under MIT License. GitHub View Github    

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