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
Metadata
Release files for BlueWhale3-ImageAnalytics 0.6.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| BlueWhale3-ImageAnalytics-0.6.1.tar.gz | 2.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| BlueWhale3_ImageAnalytics-0.6.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.7 MB
Release files / BlueWhale3-ImageAnalytics-0.6.1.tar.gz
| Download URL | BlueWhale3-ImageAnalytics-0.6.1.tar.gz |
|---|---|
| Size | 2.6 MB |
| Tags | Source |
|
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/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.5
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Release files / BlueWhale3_ImageAnalytics-0.6.1-py3-none-any.whl
| Download URL | BlueWhale3_ImageAnalytics-0.6.1-py3-none-any.whl |
|---|---|
| Size | 1.2 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.5
|