Reading and writing image, sound and npz file formats to and from xtensor data structures.
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xtensor-io is an early developer preview, and is not suitable for general usage yet. Features and implementation are subject to change.
xtensor-io
offers API of to read and write various file formats into xtensor
data structures:
- images,
- audio files,
- NumPy's compressed storage format (NPZ).
xtensor-io
wraps the OpenImageIO, libsndfile and zlib libraries.
xtensor-io
is a header-only library. We provide a package for the conda package manager.
conda install xtensor-io -c QuantStack -c conda-forge
-
xtensor-io
depends onxtensor
^0.15.5
. -
OpenImageIO
,libsndfile
andzlib
are optional dependencies toxtensor-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.
All three 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
// loads png image into xarray with shape WIDTH x HEIGHT x CHANNELS
auto arr = xt::load_image("test.png");
// write xarray out to JPEG image
xt::dump_image("dumptest.jpg", arr + 5);
// load npz file containing multiple arrays
auto npy_map = xt::load_npz("test.npz");
auto arr_0 = npy_map["arr_0"].cast<double>();
auto arr_1 = npy_map["arr_1"].cast<unsigned long>();
// open a wav file
auto audio = xt::load_audio("files/xtensor.wav");
auto& 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 * numeric_constants<double>::PI * freq * t);
xt::dump_audio("files/sine.wav", y, sampling_freq);
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 file for details.