hip
opencv
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| hip | opencv | |
|---|---|---|
| - | 1 | |
| 113 | 152 | |
| - | 0.0% | |
| 0.0 | 0.0 | |
| 3 months ago | 7 months ago | |
| Haskell | Haskell | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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hip
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Tracking mentions began in Dec 2020.
opencv
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Will I suffer attempting to use Haskell in a company that mainly uses c++
Learn inline-c and inline-c-cpp really well. You will feel enabled if you can call the power of C++ from Haskell. You can find some examples in the opencv package.
What are some alternatives?
reflex-gloss
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
friday - Fast image IO and transformations.
hnn - haskell neural network library
typed-spreadsheet - Typed and composable spreadsheets
moo - Genetic algorithm library for Haskell. Binary and continuous (real-coded) GAs. Binary GAs: binary and Gray encoding; point mutation; one-point, two-point, and uniform crossover. Continuous GAs: Gaussian mutation; BLX-α, UNDX, and SBX crossover. Selection operators: roulette, tournament, and stochastic universal sampling (SUS); with optional niching, ranking, and scaling. Replacement strategies: generational with elitism and steady state. Constrained optimization: random constrained initialization, death penalty, constrained selection without a penalty function. Multi-objective optimization: NSGA-II and constrained NSGA-II.
xcffib - A drop-in replacement for xpyb based on cffi
csp - Constraint satisfaction problem (CSP) solvers for Haskell
graphviz - Haskell bindings to the Graphviz toolkit
tensor-safe - A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.
yampa-canvas - Blank Canvas backend for Yampa
heukarya - genetic programming in haskell