Overview
readim7 is a C++ wrapper to load DaVis Images and Vectors and is a 'low level' wrapper of C++ libraries provided by LaVision GMBH. ReadIMX source was latest updated by LaVision in Aug-2014.
Source: https://github.com/alexlib/readim7
Forked from the original ReadIM project by fleming79 (https://bitbucket.org/fleming79/readim),
repackaged as readim7 with pybind11-based bindings and prebuilt binary wheels.
A higher level module: "IM" exists to work with images and vectors. It isn't hosted on PyPi however it can still be installed with pip. It provides more convenient file read / write capability and is the recommended starting point to read and write IM7/VC7 files.
Installation
This module must be compiled to work correctly. If there isn't a binary on pip you'll need to have the appropriate build tools installed for it to compile and install properly.
pip install readim7
Usage
To load a .vc7 file run
import readim7
filename = readim7.extra.get_sample_vector_filenames()[0]
buffer, atts = readim7.get_Buffer_andAttributeList(filename)
v_array, _ = readim7.buffer_as_array(buffer)
v_array.shape
similarly for a .im7 file run
import readim7
filename = readim7.extra.get_sample_image_filenames()[0]
buffer, atts = readim7.get_Buffer_andAttributeList(filename)
im_array, _ = readim7.buffer_as_array(buffer)
im_array.shape
buffer and atts are plain Python objects (a BunchMappable wrapping numpy
arrays, and a dict) — nothing needs to be destroyed manually.
Writing files
buff = readim7.newBuffer(window=[(0, 0), (100, 100)], image_sub_type=readim7.core.BUFFER_FORMAT_VECTOR_2D)
buff.array[...] = v_array # fill in your data
readim7.WriteIM7('saved_file.im7', buff, {'attribute': 'value'})
VC7 files
Depending on the filetype, there could be several frames that make up the optimal vector field as decided by DaVis. For a full description of the buffer you should contact LaVision support. Below is a link for some code snippets. The higher level "IM" automatically reads the optimal result.
see the function "_get_vectors" at https://bitbucket.org/fleming79/im/src/master/IM/core.py
1 maintainer
Metadata
1 maintainer
Release files for readim7 0.9.1
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| readim7-0.9.1.tar.gz | 8.0 MB | Details |
Built distributions (wheels)
Total release size: 172.8 MB
Release files / readim7-0.9.1.tar.gz
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Transparency logRelease files / readim7-0.9.1-cp311-cp311-macosx_11_0_arm64.whl
| Download URL | readim7-0.9.1-cp311-cp311-macosx_11_0_arm64.whl |
|---|---|
| Size | 8.2 MB |
| Tags | CPython 3.11 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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twine/7.0.0 CPython/3.13.14
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PyPI Publish Attestation
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Transparency logRelease files / readim7-0.9.1-cp311-cp311-macosx_10_9_x86_64.whl
| Download URL | readim7-0.9.1-cp311-cp311-macosx_10_9_x86_64.whl |
|---|---|
| Size | 8.2 MB |
| Tags | CPython 3.11 macOS 10.9+ x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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