eulerian-remote-heartrate-detection
Dask
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| eulerian-remote-heartrate-detection | Dask | |
|---|---|---|
| 4 | 32 | |
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| - | 1.6% | |
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| - | BSD 3-clause "New" or "Revised" License |
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eulerian-remote-heartrate-detection
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Computer Vision Project: Heart Rate Detection using Eulerian Magnification (Source Code link in the comment section)
Source/Code: https://github.com/rohintangirala/eulerian-remote-heartrate-detection
- [PROJECT]Heart Rate Detection using Eulerian Magnification
Dask
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Data scientists work on phenomenally large datasets, and Dask is a handy tool for exploration within the confines of a single cloud VM or their local PCs. Location data visualization is an essential part of deciding further algorithm development and roadmap for projects. This lays the foundation for data engineering and science to work at scale, with petabytes of data.
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We're using a lot of Python. In addition to these, gridMET, Dask, HoloViz, and kerchunk.
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msgspec - a fast & friendly JSON/MessagePack library
I wrote this for speeding up the RPC messaging in dask, but figured it might be useful for others as well. The source is available on github here: https://github.com/jcrist/msgspec.
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Dask: Distributed data frames, machine learning and more
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Data pipelines with Luigi
To do that, we are efficiently using Dask, simply creating on-demand local (or remote) clusters on task run() method:
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Is Numpy always more efficient than Pandas? And how much should we rely on Python anyway?
Look into Dask, see: https://dask.org/
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Ask HN: Is PySPark a Dead-End?
[1] https://dask.org/
What are some alternatives?
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Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
heartbeat - Desktop implementation of Remote Photoplethysmography – Measuring heart rate using facial video.
Numba - NumPy aware dynamic Python compiler using LLVM
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NeuroKit - NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
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open-mcr - :pencil: Exam bubble sheet scorer. Created with OpenCV and Python.
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