imageio

v2.36.0

Library for reading and writing a wide range of image, video, scientific, and volumetric data formats. For more information about how to use this package see README

Latest version published 1 month ago

License: BSD-2-Clause

PyPI

GitHub

Package Health Score

94 / 100

security
No known security issues
popularity
Key ecosystem project
maintenance
Healthy
community
Active

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Popularity

Key ecosystem project

GitHub Stars: 1.5K
Forks: 296
Contributors: 110

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package imageio, we found that it has been starred 1,502 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 14, 2024
Direct Vulnerabilities: 0
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0
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0
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0
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Indirect Vulnerabilities: 0
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0
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0
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0
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License Risk: 0
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0
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0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

BSD-2-Clause

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 95
Open PR: 8
Last Release: 1 month ago
Last Commit: 1 month ago

Further analysis of the maintenance status of imageio based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that imageio demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 110
Funding: Yes

A good and healthy external contribution signal for imageio project, which invites more than one hundred open source maintainers to collaborate on the repository.

We found a way for you to contribute to the project! Looks like imageio is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.9

Age: 12 years
Latest Release: 1 month ago
Dependencies: 1 Direct
Versions: 95
Maintainers: 2
Wheels: OS Independent

Not sure how to use imageio?

To help you get started, we've collected the most common ways that imageio is being used within popular public projects.

oulutan / ACAM_Demo / tests / test_obj_detection.py View on Github

Obj_Detector = obj.Object_Detector(obj_detection_graph)
    Tracker = obj.Tracker()

    test_vid_path = "chase1Person1View3Point0.mp4"
    print('Testing on %s' % test_vid_path)

    reader = imageio.get_reader(test_vid_path, 'ffmpeg')
    fps = reader.get_meta_data()['fps'] // 2

    # out_vid_path = "chase1Person1View3Point0_out.mp4"
    # writer = imageio.get_writer(out_vid_path, fps=fps)
    # print("Writing output video on %s" %out_vid_path)
    actors = [0,1,2]
    writers = []
    for ii in actors:
        writer = imageio.get_writer("person_%i.mp4" % ii, fps=fps)
        print("Video writer set for person_%i" % ii)
        writers.append(writer)

    frame_cnt = 0
    for test_img in reader:
        frame_cnt += 1
        if frame_cnt % 2 == 0:
            continue
        print("frame_cnt: %i" %frame_cnt)
        expanded_img = np.expand_dims(test_img, axis=0)
        detection_list = Obj_Detector.detect_objects_in_np(expanded_img)
        detection_info = [info[0] for info in detection_list]
        Tracker.update_tracker(detection_info, test_img)
        if frame_cnt > 30:
            print("writing segments")
            for actor_no, writer in zip(actors,writers):

View more ways to use imageio

Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, volumetric data, and scientific formats. It is cross-platform, runs on Python 3.5+, and is easy to install.

Main website:

Release notes:

Example:

&gt;&gt;&gt; import imageio
&gt;&gt;&gt; im = imageio.imread('imageio:astronaut.png')
&gt;&gt;&gt; im.shape  # im is a numpy array
(512, 512, 3)
&gt;&gt;&gt; imageio.imwrite('astronaut-gray.jpg', im[:, :, 0])

See the API Reference or examples for more information.

imageio dependencies

numpy

FAQs

What is imageio?

Library for reading and writing a wide range of image, video, scientific, and volumetric data formats. Visit Snyk Advisor to see a full health score report for imageio, including popularity, security, maintenance & community analysis.

Is imageio popular?

The python package imageio receives a total of 6,848,732 weekly downloads. As such, imageio popularity was classified as a key ecosystem project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is imageio well maintained?

We found that imageio demonstrated a healthy version release cadence and project activity. It has a community of 110 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is imageio safe to use?

The python package imageio was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 21 November-2024, at 11:08 (UTC).

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