This code takes on input trained Keras model and optimize layer structure and weights in such a way that model became much faster (~10-30%), but works identically to initial model. It can be extremely useful in case you need to process large amount of images with trained model. Reduce operation was tested on all Keras models zoo. More details: https://github.com/ZFTurbo/Keras-inference-time-optimizer
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Release files for kito 1.0.5
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| kito-1.0.5.tar.gz | 9.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kito-1.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 22.9 kB
Release files / kito-1.0.5.tar.gz
| Download URL | kito-1.0.5.tar.gz |
|---|---|
| Size | 9.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/1.15.0 pkginfo/1.5.0.1 requests/2.12.5 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.5.3
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Release files / kito-1.0.5-py3-none-any.whl
| Download URL | kito-1.0.5-py3-none-any.whl |
|---|---|
| Size | 13.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/1.15.0 pkginfo/1.5.0.1 requests/2.12.5 setuptools/42.0.2 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.5.3
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Security for kito 1.0.5
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