# accimage

**Repository Path**: mirrors_pytorch/accimage

## Basic Information

- **Project Name**: accimage
- **Description**: high performance image loading and augmenting routines mimicking PIL.Image interface
- **Primary Language**: Unknown
- **License**: BSD-2-Clause
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-18
- **Last Updated**: 2025-09-27

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# accimage

[![Build status](https://github.com/pytorch/accimage/actions/workflows/accimage.yml/badge.svg)](https://github.com/pytorch/accimage/actions/workflows/accimage.yml)
[![Anaconda badge](https://anaconda.org/conda-forge/accimage/badges/version.svg)](https://anaconda.org/conda-forge/accimage)


An accelerated Image loader and preprocessor leveraging [Intel
IPP](https://software.intel.com/en-us/intel-ipp).

accimage mimics the PIL API and can be used as a backend for
[`torchvision`](https://github.com/pytorch/vision).

Operations implemented:

- `Image.resize((width, height))`
- `Image.crop((left, upper, right, lower))`
- `Image.transpose(PIL.Image.FLIP_LEFT_RIGHT)`

Enable the torchvision accimage backend with:

```python
torchvision.set_image_backend('accimage')
```

## Installation

accimage is available on conda-forge, simply run the following to install

```
$ conda install -c conda-forge accimage
```