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Roimarker

Annotates region of interest (ROI) using matplotlib and Python.

  • Draw rectangular ROIs with your mouse
  • Quickly change to the next image by pressing N
  • Adjust brightness/contrast with keys Z,X,C,V
  • Undo with Ctrl+Z

Installing

pip install roimarker

Usage

A) Standalone tool

python -m roimarker DIRECTORY

Here, replace DIRECTORY with the folder containing all the image files to be annotated.

When finished, a markings.json file is created to the current working directory with the following structure:

{fn1: [ROI_1, ROI_2, ROI_3, ..], fn2: [ROI_1, ...], ...}

where
	ROI_i = [x,y,w,h]

B) In your programs

import matplotlib.pyplot as plt
from roimarker import Marker

# Create matplotlib figure and ax
fig, ax = plt.subplots()

# List of images to annotate
image_fns = ['image1.tif', 'image2.tif', 'image3.tif']

marker = Marker(fig, ax, image_fns, 'markings.json')
marker.run()

Release files for roimarker 0.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for roimarker 0.2.1
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Table of built distributions (wheels) for roimarker 0.2.1
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roimarker-0.2.1-py3-none-any.whl Python 3 none any Details

Total release size: 38.1 kB

Release files / roimarker-0.2.1.tar.gz

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