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()
1 maintainer
Metadata
1 maintainer
Release files for roimarker 0.2.1
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| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| roimarker-0.2.1-py3-none-any.whl | Python 3 | none | any | Details for roimarker-0.2.1-py3-none-any.whl |
Total release size: 38.1 kB
Release files / roimarker-0.2.1.tar.gz
| Download URL | roimarker-0.2.1.tar.gz |
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| Size | 19.2 kB |
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| Size | 19.0 kB |
| Tags | Python 3 |
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