Read and write Netpbm files
Project description
Netpbmfile is a Python library to read and write image files in the Netpbm format as specified at http://netpbm.sourceforge.net/doc/.
The following Netpbm and Portable FloatMap formats are supported:
PBM (bi-level)
PGM (grayscale)
PPM (color)
PAM (arbitrary)
XV thumbnail (RGB332, read-only)
PF (float32 RGB, read-only)
Pf (float32 grayscale, read-only)
No gamma correction is performed. Only one image per file is supported.
- Author:
- Organization:
Laboratory for Fluorescence Dynamics, University of California, Irvine
- License:
BSD 3-Clause
- Version:
2020.10.18
Requirements
Matplotlib 3.2 (optional for plotting)
Revisions
- 2020.10.18
Disallow comments after last value in PNM headers.
- 2020.9.18
Remove support for Python 3.6 (NEP 29). Support os.PathLike file names.
- 2020.1.1
Fix reading tightly packed P1 format and ASCII data with inline comments. Remove support for Python 2.7 and 3.5. Update copyright.
- 2018.10.18
Move netpbmfile.py into netpbmfile package.
- 2018.02.18
Support Portable FloatMaps. Style fixes.
- 2016.02.24
Use ‘fromdata’ classmethod to initialize from data. Support ‘with’ statement. Scale RGB images to maxval for display. Make keyword arguments explicit. Support numpy 1.10.
Examples
Save a numpy array to a Netpbm file in grayscale format:
>>> data = numpy.array([[0, 1], [65534, 65535]], dtype='uint16') >>> imwrite('_tmp.pgm', data)
Read the image data from a Netpbm file as numpy array:
>>> image = imread('_tmp.pgm') >>> assert numpy.all(image == data)
Access meta and image data in a Netpbm file:
>>> with NetpbmFile('_tmp.pgm') as pgm: ... pgm.axes ... pgm.shape ... pgm.dtype ... pgm.maxval ... pgm.magicnum ... image = pgm.asarray() 'YX' (2, 2) dtype('>u2') 65535 b'P5'
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