Pre-release
This release is a pre-release and may not be stable for production use.
MMKit-Features: Multimodal Features Extraction Toolkit
A light-weight Python library to extract, fuse and store multimodal features for deep learning.
Note
This project is still under developing.
License
The mmk-features project is provided by Donghua Chen.
1 maintainer
Metadata
1 maintainer
Release files for mmk-features 0.0.1.dev0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mmk-features-0.0.1.dev0.tar.gz | 12.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mmk_features-0.0.1.dev0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.8 kB
Release files / mmk-features-0.0.1.dev0.tar.gz
| Download URL | mmk-features-0.0.1.dev0.tar.gz |
|---|---|
| Size | 12.2 kB |
| 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/2.27.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.6
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Release files / mmk_features-0.0.1.dev0-py3-none-any.whl
| Download URL | mmk_features-0.0.1.dev0-py3-none-any.whl |
|---|---|
| Size | 11.6 kB |
| 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 | |
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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/2.27.1 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.6
|
