Image analyzer is an interface that simplifies interaction with image-related deep learning models. The interface has built-in features that get adjusted based on the models. You need to set the destination folder that contains your models with specific pattern names. The built-in features will use the names.
The interface was initially part of an internal project that detects abusive content with the possibility of tracing the subjects.
Metadata
Release files for image-analyzer 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| image-analyzer-0.1.tar.gz | 37.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| image_analyzer-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 74.0 MB
Release files / image-analyzer-0.1.tar.gz
| Download URL | image-analyzer-0.1.tar.gz |
|---|---|
| Size | 37.0 MB |
| Tags | Source |
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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/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.64.0 CPython/3.8.10
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Release files / image_analyzer-0.1-py3-none-any.whl
| Download URL | image_analyzer-0.1-py3-none-any.whl |
|---|---|
| Size | 37.0 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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.64.0 CPython/3.8.10
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