opencv
caer
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| opencv | caer | |
|---|---|---|
| 1 | 8 | |
| 152 | 749 | |
| 0.0% | - | |
| 0.0 | 0.0 | |
| 7 months ago | 6 months ago | |
| Haskell | Python | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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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
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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.
caer
- Show HN: Caer – A lightweight GPU-accelerated Vision library in Python
- I wrote a lightweight GPU-accelerated Vision library in Python
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Jetson nano python3 illegal instruction problem
I think it may have. If you look at line 10 of https://github.com/jasmcaus/caer/blob/master/configs.ini, you’ll see that caer has numpy and opencv-contrib-python dependencies that get referenced in its setup.py. If I recall correctly, pip on the nano doesn’t pick up the default numpy and opencv-python system installs, so when you go to install something like caer that has them as dependencies, it will install new copies except the wheel files that it grabs are incompatible. The solution I have found to work is to run something similar to the command above: “pip3 install —no-binary caer —no-binary numpy—no-binary opencv-contrib-python —no-binary typing-extensions —no-binary mypy —force-reinstall caer”. Some of those —no-binary options may not be necessary but they’ll at least ensure pip grabs the source for each of the dependencies and rebuilds it locally rather than using an imcompatible version. This command will take awhile! But you only should have to do it once.
- jasmcaus/caer Modern Computer Vision on the Fly
- Caer: High-performance Vision Library in Python (faster than Torchvision)
- Caer – A GPU-accelerated Computer Vision library (faster than Torchvision)
- jasmcaus/caer lightweight, scalable Computer Vision library for high-performance AI research
- Caer – A GPU-Accelerated Computer Vision Library in Python
What are some alternatives?
hnn - haskell neural network library
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img2table - img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing
hip - Haskell Image Processing Library
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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!