Skip to main content

Image Visualization Tools

Project description

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

examples/blur_pixelate.py
examples/colorize.py
examples/diff.py
examples/draw.py
examples/flags2rgb.py
examples/flow2rgb.py
examples/instances2rgb.py
examples/label2rgb.py
examples/letterbox.py
examples/mask2rgb.py
examples/nchannel2rgb.py
examples/pie.py
examples/resize.py
examples/tile.py

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

imgviz-2.1.0.tar.gz (9.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

imgviz-2.1.0-py3-none-any.whl (7.9 MB view details)

Uploaded Python 3

File details

Details for the file imgviz-2.1.0.tar.gz.

File metadata

  • Download URL: imgviz-2.1.0.tar.gz
  • Upload date:
  • Size: 9.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for imgviz-2.1.0.tar.gz
Algorithm Hash digest
SHA256 bc5cc8e1b98706b5a3baf773444e5fa16db47d47150e0752f3e4f1e8a3fc92e1
MD5 044f4ef19261939e2e2912c96ad9c91a
BLAKE2b-256 c10800ed1f65fbb17389ef35e993079467c1ad48ffcbc5acb54aa6978e16d41b

See more details on using hashes here.

Provenance

The following attestation bundles were made for imgviz-2.1.0.tar.gz:

Publisher: publish.yml on wkentaro/imgviz

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file imgviz-2.1.0-py3-none-any.whl.

File metadata

  • Download URL: imgviz-2.1.0-py3-none-any.whl
  • Upload date:
  • Size: 7.9 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for imgviz-2.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8a22c40df25529a2ae4ef668b592225ade755e5b9347451f7199a803b528bb59
MD5 c015d2817487c97a46b7461363281990
BLAKE2b-256 5dae322cb10179f1d2843e48470b8457396206182a5d7244e1f7c25aa27ffd6e

See more details on using hashes here.

Provenance

The following attestation bundles were made for imgviz-2.1.0-py3-none-any.whl:

Publisher: publish.yml on wkentaro/imgviz

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page