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Attendance system using facial recognition

License: MIT License

Python 59.12% HTML 9.16% JavaScript 13.13% CSS 18.59%
python python3 machine-learning deep-learning neural-network opencv opencv-python face-recognition numpy attendance facial-recognition

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asfr's Issues

Stroring images encodings

I am going to store images encodings to a file or database(SQL or NoSQL) like mongodb in order to speed up recognition time for large amount of images(5000 instances or more).

(PYL-R1724) Unnecessary `elif` / `else` block after `continue`

Description

The else / elif block here is unnecessary because the leading if block has a continue statement. This doesn't mean you cannot use it, but it is recommended to refactor this else / elif statement for a better readability. Bad: ```python def classify_number(x): for num in range(x): if x % …

Occurrences

There is 1 occurrence of this issue in the repository.

See all occurrences on DeepSource → deepsource.io/gh/EverLookNeverSee/FRP/issue/PYL-R1724/occurrences/

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