imgviz
Image Visualization Tools
Installation
pip install imgviz
# there are optional dependencies like skimage, below installs all.
pip install imgviz[all]
Dependencies
Getting Started
# getting_started.py
import numpy as np
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 viridis colormap
depth = data["depth"]
depthviz = imgviz.colorize(depth, vmin=0.3, vmax=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)
# per-instance flags as pie glyphs
centers = np.array([np.argwhere(m).mean(axis=0) for m in masks])
flags = np.column_stack(
(masks.sum(axis=(1, 2)) < 7000, centers[:, 1] < rgb.shape[1] / 2)
)
flagviz = imgviz.flags2rgb(
rgb, flags=flags, centers=centers, flag_names=["small", "left"], wedges="all"
)
# 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, flagviz, insviz],
row=2,
col=3,
border=(255, 255, 255),
border_width=5,
)
Examples
Release files for imgviz 2.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| imgviz-2.1.0.tar.gz | 9.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| imgviz-2.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.9 MB
Release files / imgviz-2.1.0.tar.gz
| Download URL | imgviz-2.1.0.tar.gz |
|---|---|
| Size | 9.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
bc5cc8e1b98706b5a3baf773444e5fa16db47d47150e0752f3e4f1e8a3fc92e1
|
|
BLAKE2b-256 checksum How to use checksums |
c10800ed1f65fbb17389ef35e993079467c1ad48ffcbc5acb54aa6978e16d41b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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Transparency logRelease files / imgviz-2.1.0-py3-none-any.whl
| Download URL | imgviz-2.1.0-py3-none-any.whl |
|---|---|
| Size | 7.9 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8a22c40df25529a2ae4ef668b592225ade755e5b9347451f7199a803b528bb59
|
|
BLAKE2b-256 checksum How to use checksums |
5dae322cb10179f1d2843e48470b8457396206182a5d7244e1f7c25aa27ffd6e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 10, 2026.
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