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Image Visualization Tools

Project description

imgviz

Image Visualization Tools

Documentation Status

Installation

pip install imgviz

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

Dependencies

Getting Started

# 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

examples/centerize.py
examples/depth2rgb.py
examples/draw.py
examples/flow2rgb.py
examples/instances2rgb.py
examples/label2rgb.py
examples/nchannel2rgb.py
examples/plot_trajectory.py
examples/resize.py
examples/tile.py

Project details


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Source Distribution

imgviz-1.5.0.tar.gz (7.7 MB view hashes)

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