MLCVZoo MMOCR
The MLCVZoo is an SDK for simplifying the usage of various (machine learning driven) computer vision algorithms. The package mlcvzoo_mmocr is the wrapper module for the mmocr framework.
Install
pip install mlcvzoo-mmocr
Further documentation
Technology stack
- Python
Release files for mlcvzoo-mmocr 6.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| mlcvzoo_mmocr-6.4.0.tar.gz | 16.4 kB | Without provenance | Details for mlcvzoo_mmocr-6.4.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mlcvzoo_mmocr-6.4.0-py3-none-any.whl | Python 3 | none | any | Details for mlcvzoo_mmocr-6.4.0-py3-none-any.whl |
Total release size: 33.5 kB
Release files / mlcvzoo_mmocr-6.4.0.tar.gz
| Download URL | mlcvzoo_mmocr-6.4.0.tar.gz |
|---|---|
| Size | 16.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.10.12
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Release files / mlcvzoo_mmocr-6.4.0-py3-none-any.whl
| Download URL | mlcvzoo_mmocr-6.4.0-py3-none-any.whl |
|---|---|
| Size | 17.1 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/6.1.0 CPython/3.10.12
|
Security for mlcvzoo-mmocr 6.4.0
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