Orange3 Image Analytics
Simplifies loading of images and through deep network-based embeddings enables their analysis. Embedding represents images with feature vectors, allowing the use of Orange's standard arsenal of widgets for clustering, classification or any other kind of feature-based analysis. Image Analytics also provides visualization widgets for images and allows saving them. See documentation.
Features
Image analysis
- load and save images
- represent images with a vector of numbers
- displays images in a similarity grid
7 maintainers
Metadata
7 maintainers
Release files for Orange3-ImageAnalytics 0.13.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| orange3_imageanalytics-0.13.0.tar.gz | 2.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Orange3_ImageAnalytics-0.13.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.0 MB
Release files / orange3_imageanalytics-0.13.0.tar.gz
| Download URL | orange3_imageanalytics-0.13.0.tar.gz |
|---|---|
| Size | 2.8 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.5
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Release files / Orange3_ImageAnalytics-0.13.0-py3-none-any.whl
| Download URL | Orange3_ImageAnalytics-0.13.0-py3-none-any.whl |
|---|---|
| Size | 5.3 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.5
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