This project implements dial meter value reading by computer vision using OpenCV with Python.
It currently works just for my configuration with exactly the same parameters (like type of water meter, position and angle of the webcam, lighting conditions, etc.), but I plan to make it more general in the future.
License
All content here is licensed with MIT license. See the LICENSE file for details.
Metadata
Release files for meterelf 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| meterelf-0.1.0.tar.gz | 11.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| meterelf-0.1.0-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 31.3 kB
Release files / meterelf-0.1.0.tar.gz
| Download URL | meterelf-0.1.0.tar.gz |
|---|---|
| Size | 11.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/3.7.2
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Release files / meterelf-0.1.0-py2.py3-none-any.whl
| Download URL | meterelf-0.1.0-py2.py3-none-any.whl |
|---|---|
| Size | 20.3 kB |
| Tags | Python 2 Python 3 |
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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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twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/3.7.2
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