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https://github.com/xtensor-stack/xtensor-io
xtensor plugin to read and write images, audio files, numpy (compressed) npz and HDF5
https://github.com/xtensor-stack/xtensor-io
audio-files compressed cpp hdf5 image-files io npz numpy xtensor
Last synced: 4 days ago
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xtensor plugin to read and write images, audio files, numpy (compressed) npz and HDF5
- Host: GitHub
- URL: https://github.com/xtensor-stack/xtensor-io
- Owner: xtensor-stack
- License: bsd-3-clause
- Created: 2017-10-24T18:52:41.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2024-04-02T04:05:57.000Z (9 months ago)
- Last Synced: 2024-10-12T00:26:34.315Z (3 months ago)
- Topics: audio-files, compressed, cpp, hdf5, image-files, io, npz, numpy, xtensor
- Language: C++
- Homepage:
- Size: 747 KB
- Stars: 85
- Watchers: 15
- Forks: 28
- Open Issues: 23
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 
[](https://dev.azure.com/xtensor-stack/xtensor-stack/_build/latest?definitionId=8&branchName=master)
[](http://xtensor-io.readthedocs.io/en/stable/)
[](https://mybinder.org/v2/gh/xtensor-stack/xtensor-io/stable?filepath=notebooks%2Fdemo.ipynb)
[](https://gitter.im/QuantStack/Lobby?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
Reading and writing image, sound and npz file formats to and from xtensor data structures.
[Try it live in the browser!](https://mybinder.org/v2/gh/xtensor-stack/xtensor-io/stable?filepath=notebooks%2Fdemo.ipynb)
## Introduction
`xtensor-io` offers an API to read and write various file formats into `xtensor` data structures:
- images,
- audio files,
- NumPy's compressed storage format (NPZ),
- HDF5 files,
- Blosc.
`xtensor-io` wraps the [OpenImageIO](https://github.com/OpenImageIO/oiio), [libsndfile](https://github.com/erikd/libsndfile), [zlib](https://github.com/madler/zlib), [HighFive](https://github.com/BlueBrain/HighFive), and [blosc](https://github.com/Blosc/c-blosc) libraries.
## Installation
`xtensor-io` is a header-only library. We provide a package for the mamba (or conda) package manager.
```bash
mamba install xtensor-io -c conda-forge
```
- `xtensor-io` depends on `xtensor` `^0.25.0`.
- `OpenImageIO`, `libsndfile`, `zlib`, `HighFive`, and `blosc` are optional dependencies to `xtensor-io`
- `OpenImageIO` is required to read and write image files.
- `libsndfile` is required to read and write sound files.
- `zlib` is required to load NPZ files.
- `HighFive` (and the `HDF5` library) is required to read and write HDF5 files.
- `blosc` is required to read and write Blosc files.
All five libraries are available for the conda package manager.
You can also install `xtensor-io` from source:
```
mkdir build
cd build
cmake ..
make
sudo make install
```
## Trying it online
To try out xtensor-io interactively in your web browser, just click on the binder
link:
[](https://mybinder.org/v2/gh/xtensor-stack/xtensor-io/stable?filepath=notebooks%2Fdemo.ipynb)
## Documentation
To get started with using `xtensor-io`, check out the full documentation
http://xtensor-io.readthedocs.io/
## Usage
```cpp
// loads png image into xarray with shape HEIGHT x WIDTH x CHANNELS
auto img_arr = xt::load_image("test.png");
// write xarray out to JPEG image
xt::dump_image("dumptest.jpg", img_arr + 5);
// load npz file containing multiple arrays
auto npy_map = xt::load_npz("test.npz");
auto arr_0 = npy_map["arr_0"].cast();
auto arr_1 = npy_map["arr_1"].cast();
// open a wav file
auto audio = xt::load_audio("files/xtensor.wav");
auto& audio_arr = std::get<1>(audio); // audio contents (like scipy.io.wavfile results)
// save a sine wave sound
int freq = 2000;
int sampling_freq = 44100;
double duration = 1.0;
auto t = xt::arange(0.0, duration, 1.0 / sampling_freq);
auto y = xt::sin(2.0 * xt::numeric_constants::PI * freq * t);
xt::dump_audio("files/sine.wav", y, sampling_freq);
```
## License
We use a shared copyright model that enables all contributors to maintain the
copyright on their contributions.
This software is licensed under the BSD-3-Clause license. See the [LICENSE](LICENSE) file for details.