Metadata-Version: 2.1
Name: imgviz
Version: 1.6.2
Summary: Image Visualization Tools
Home-page: http://github.com/wkentaro/imgviz
Author: Kentaro Wada
Author-email: www.kentaro.wada@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Description-Content-Type: text/markdown
Provides-Extra: all
License-File: LICENSE
imgviz
Image Visualization Tools
## Installation
```bash
pip install imgviz
# there are optional dependencies like skimage, below installs all.
pip install imgviz[all]
```
## Dependencies
- [matplotlib](https://pypi.org/project/matplotlib)
- [numpy](https://pypi.org/project/numpy)
- [Pillow>=5.3.0](https://pypi.org/project/Pillow)
- [PyYAML](https://pypi.org/project/PyYAML)
## 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(imgs=insviz, border=(255, 255, 255))
insviz = imgviz.resize(insviz, height=rgb.shape[0])
# tile visualization
tiled = imgviz.tile(
[rgb, depthviz, labelviz, maskviz, insviz],
shape=(1, 5),
border=(255, 255, 255),
border_width=5,
)
```
## [Examples](https://github.com/wkentaro/imgviz/blob/main/examples)