opencv VS caer

Compare opencv vs caer and see what are their differences.

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opencv caer
1 8
153 750
0.7% -
0.0 0.0
8 months ago 7 months ago
Haskell Python
BSD 3-clause "New" or "Revised" License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

opencv

Posts with mentions or reviews of opencv. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-31.

caer

Posts with mentions or reviews of caer. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing opencv and caer you can also consider the following projects:

hnn - haskell neural network library

fiftyone - The open-source tool for building high-quality datasets and computer vision models

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.

img2table - img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing

hip - Haskell Image Processing Library

Single-Image-Dehazing-Python - python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"

csp - Constraint satisfaction problem (CSP) solvers for Haskell

instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more

tensor-safe - A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.

moviepy - Video editing with Python

heukarya - genetic programming in haskell

RobustVideoMatting - Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!