GUI for image sequences pixel analysis

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  • License: BSD License (BSD 3-Clause License Copyright (c) 2024, Yu-Ting Wei Redistribution and use in source and binary f...)
  • Author: Yu-Ting Wei
  • Tags computer vision , image processing
  • Requires: Python >=3.10
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Project description

pixviz

Pixel intensity analysis and visualization for image sequences

Installation

  • create conda env conda create -n pixviz python~=3.10.0 -y
  • install dependencies pip install -r requirements.txt
  • launch GUI python -m pixviz

Simple Demo

pixel_demo.gif

GUI Usage

  1. Load your video by clicking Load Video
  2. Drag your ROI(s) by first click Drag a Rect ROI button then drag area in video view. Press play see preview in plot view (delete by first click the roi in table, then click Delete ROI), clear button is used for delete realtime plot display
  3. Click Process the evaluate all, output will be saved as json meta and npy array in the same directory of video source
  4. The data (.npy) can be reload using load result (the meta json need to be in the same directory)

API doc

Project details

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  • License: BSD License (BSD 3-Clause License Copyright (c) 2024, Yu-Ting Wei Redistribution and use in source and binary f...)
  • Author: Yu-Ting Wei
  • Tags computer vision , image processing
  • Requires: Python >=3.10
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1.1.0

1.0.1

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1.0.0

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