benchmark-openCV-JuliaImage

benchmark-openCV-JuliaImage-scikitImage

👨‍💻 Code Task 👨‍💻

Deliverables

1. Benchmark Notebooks

   • JuliaImages
   • OpenCV
   • PIL / sciki-image

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Using:

BenchmarkTools.jl | jl

timeit | py

Against :

1. OpenCV

   • Version used : 4.1.0

2. scikit-image

   • Version used : 0.16.2

3. PIL using Pillow

   • Version used : 6.1.0

Machine on which Benchmarks were carried out :

64Bit Windows 10 with 16 GB of RAM and [email protected]

Sample image from https://testimages.juliaimages.org/

Note : Compared mean times by timing only one sample in timeit.

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Benchmarking JuliaImages against other image frameworks

Task description

JuliaImages provides high-quality implementations of many algorithms; however, as of yet there is no set of benchmarks that compares our code against that of other image-processing frameworks. Developing such benchmarks would allow us to advertise our strengths and/or identify opportunities for further improvement. See also the OpenCV project.

Some knowledge of other image processing tools (OpenCV, ImageMagick) would be useful for this task.

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