NosyPy is a self supervised novelty detection package built for time lapse imagery using Python.
It is built ontop of Tensorflow
It uses a self supervised learning approach, removing the need for manual annotation
It identifies areas in each image which likely contain an object, or objects, of interest
Metadata
Release files for nosypy 0.0.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| nosypy-0.0.2.tar.gz | 12.6 kB | Without provenance | Details for nosypy-0.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| nosypy-0.0.2-py2-none-any.whl | Python 2 | none | any | Details for nosypy-0.0.2-py2-none-any.whl |
Total release size: 29.0 kB
Release files / nosypy-0.0.2.tar.gz
| Download URL | nosypy-0.0.2.tar.gz |
|---|---|
| Size | 12.6 kB |
| 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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No |
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twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.15rc1
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Release files / nosypy-0.0.2-py2-none-any.whl
| Download URL | nosypy-0.0.2-py2-none-any.whl |
|---|---|
| Size | 16.3 kB |
| Tags | Python 2 |
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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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.15rc1
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Security for nosypy 0.0.2
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