Metadata-Version: 2.4
Name: imgviz
Version: 2.0.0a0
Summary: Image Visualization Tools
Project-URL: Homepage, https://github.com/wkentaro/imgviz
Author-email: Kentaro Wada <www.kentaro.wada@gmail.com>
License: MIT
License-File: LICENSE
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.10
Requires-Dist: cmap>=0.1.0
Requires-Dist: numpy>=1.21.0
Requires-Dist: pillow>=10.0.0
Provides-Extra: all
Requires-Dist: scikit-image; extra == 'all'
Requires-Dist: scikit-learn; extra == 'all'
Description-Content-Type: text/markdown

<!-- DO NOT EDIT THIS FILE MANUALLY. This file is generated by generate_readme.py. -->

<h1 align="center">
  imgviz
</h1>

<h4 align="center">
  Image Visualization Tools
</h4>

<div align="center">
  <a href="https://pypi.python.org/pypi/imgviz"><img src="https://img.shields.io/pypi/v/imgviz.svg"></a>
  <a href="https://pypi.org/project/imgviz"><img src="https://img.shields.io/pypi/pyversions/imgviz.svg"></a>
  <a href="https://github.com/wkentaro/imgviz/actions"><img src="https://github.com/wkentaro/imgviz/workflows/ci/badge.svg"></a>
</div>

<div align="center">
  <a href="#installation"><b>Installation</b></a> |
  <a href="#getting-started"><b>Getting Started</b></a> |
  <a href="#examples"><b>Examples</b></a> |
  <a href="https://github.com/wkentaro/imgviz-cpp"><b>C++ Version</b></a>
</div>

<br/>

<div align="center">
  <img src="https://github.com/wkentaro/imgviz/raw/main/assets/getting_started.jpg" width="95%">
</div>

## Installation

```bash
pip install imgviz

# there are optional dependencies like skimage, below installs all.
pip install imgviz[all]
```


## Dependencies

- [cmap>=0.1.0](https://pypi.org/project/cmap)
- [numpy>=1.21.0](https://pypi.org/project/numpy)
- [Pillow>=5.3.0](https://pypi.org/project/Pillow)

## Getting Started

```python
# getting_started.py

import imgviz

# sample data of rgb, depth, class label and instance masks
data = imgviz.data.arc2017()

rgb = data["rgb"]
gray = imgviz.rgb2gray(rgb)

# colorize depth image with JET colormap
depth = data["depth"]
depthviz = imgviz.depth2rgb(depth, min_value=0.3, max_value=1)

# colorize label image
class_label = data["class_label"]
labelviz = imgviz.label2rgb(
    class_label, image=gray, label_names=data["class_names"], font_size=20
)

# instance bboxes
bboxes = data["bboxes"].astype(int)
labels = data["labels"]
masks = data["masks"] == 1
captions = [data["class_names"][l] for l in labels]
maskviz = imgviz.instances2rgb(gray, masks=masks, labels=labels, captions=captions)

# tile instance masks
insviz = [
    (rgb * m[:, :, None])[b[0] : b[2], b[1] : b[3]] for b, m in zip(bboxes, masks)
]
insviz = imgviz.tile(images=insviz, border=(255, 255, 255))
insviz = imgviz.resize(insviz, height=rgb.shape[0])

# tile visualization
tiled = imgviz.tile(
    [rgb, depthviz, labelviz, maskviz, insviz],
    row=1,
    col=5,
    border=(255, 255, 255),
    border_width=5,
)
```

## [Examples](examples)

<table>
	<tr>
		<td><pre><a href="examples/centerize.py">examples/centerize.py</a></pre></td>
		<td><img src="https://github.com/wkentaro/imgviz/raw/main/examples/assets/centerize.jpg" width="59.40119760479042%" /></td>
	</tr>
	<tr>
		<td><pre><a href="examples/depth2rgb.py">examples/depth2rgb.py</a></pre></td>
		<td><img src="https://github.com/wkentaro/imgviz/raw/main/examples/assets/depth2rgb.jpg" width="78.16091954022988%" /></td>
	</tr>
	<tr>
		<td><pre><a href="examples/draw.py">examples/draw.py</a></pre></td>
		<td><img src="https://github.com/wkentaro/imgviz/raw/main/examples/assets/draw.jpg" width="37.79047619047619%" /></td>
	</tr>
	<tr>
		<td><pre><a href="examples/flow2rgb.py">examples/flow2rgb.py</a></pre></td>
		<td><img src="https://github.com/wkentaro/imgviz/raw/main/examples/assets/flow2rgb.jpg" width="52.21052631578947%" /></td>
	</tr>
	<tr>
		<td><pre><a href="examples/instances2rgb.py">examples/instances2rgb.py</a></pre></td>
		<td><img src="https://github.com/wkentaro/imgviz/raw/main/examples/assets/instances2rgb.jpg" width="76.39846743295018%" /></td>
	</tr>
	<tr>
		<td><pre><a href="examples/label2rgb.py">examples/label2rgb.py</a></pre></td>
		<td><img src="https://github.com/wkentaro/imgviz/raw/main/examples/assets/label2rgb.jpg" width="76.01532567049807%" /></td>
	</tr>
	<tr>
		<td><pre><a href="examples/mask2rgb.py">examples/mask2rgb.py</a></pre></td>
		<td><img src="https://github.com/wkentaro/imgviz/raw/main/examples/assets/mask2rgb.jpg" width="76.01532567049807%" /></td>
	</tr>
	<tr>
		<td><pre><a href="examples/nchannel2rgb.py">examples/nchannel2rgb.py</a></pre></td>
		<td><img src="https://github.com/wkentaro/imgviz/raw/main/examples/assets/nchannel2rgb.jpg" width="52.21052631578947%" /></td>
	</tr>
	<tr>
		<td><pre><a href="examples/resize.py">examples/resize.py</a></pre></td>
		<td><img src="https://github.com/wkentaro/imgviz/raw/main/examples/assets/resize.jpg" width="52.21052631578947%" /></td>
	</tr>
	<tr>
		<td><pre><a href="examples/tile.py">examples/tile.py</a></pre></td>
		<td><img src="https://github.com/wkentaro/imgviz/raw/main/examples/assets/tile.jpg" width="52.21052631578947%" /></td>
	</tr>
</table>
