A python library for AIdoop web-based application platform such as AIdoop-R and AIdoop-P. Supports camera operation, object trakcing using tensorflow-based deep learning models, opecv-based image processing and graphql and websocket to cooperate with web application server
Release files for pyaidoop-dl-models 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyaidoop-dl-models-0.2.0.tar.gz | 68.9 kB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyaidoop_dl_models-0.2.0-py3.6.egg | Legacy Egg format | - | - | Details |
| pyaidoop_dl_models-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 302.5 kB
Release files / pyaidoop-dl-models-0.2.0.tar.gz
| Download URL | pyaidoop-dl-models-0.2.0.tar.gz |
|---|---|
| Size | 68.9 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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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.9
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Release files / pyaidoop_dl_models-0.2.0-py3.6.egg
| Download URL | pyaidoop_dl_models-0.2.0-py3.6.egg |
|---|---|
| Size | 157.7 kB |
| Tags | Egg |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.9
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Release files / pyaidoop_dl_models-0.2.0-py3-none-any.whl
| Download URL | pyaidoop_dl_models-0.2.0-py3-none-any.whl |
|---|---|
| Size | 75.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
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twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.9
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