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: | Christoph Gohlke |
---|---|
Organization: | Laboratory for Fluorescence Dynamics, University of California, Irvine |
License: | BSD 3-Clause |
Version: | 2020.1.1 |
Requirements
- CPython >= 3.6
- Numpy 1.14
- Matplotlib 3.1 (optional for plotting)
Revisions
- 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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