AID
caer
| AID | caer | |
|---|---|---|
| 4 | 8 | |
| 323 | 749 | |
| 0.0% | - | |
| 0.0 | 0.0 | |
| 9 months ago | 7 months ago | |
| TypeScript | Python | |
| Apache License 2.0 | MIT License |
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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.
AID
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Introduce AID - A system that helps you run machine learning models
Aid your entire A.I activity Explore the docs » Video Demo · Report Bug · Request Feature
- Show HN: Aid – System for quickly installing and running machine learning models
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A new tool that I created for running machine learning algorithms more easily
GitHub: https://github.com/autoai-org/AID
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?
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opencv - Haskell binding to OpenCV-3.x
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instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
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Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
tsdf-fusion-python - Python code to fuse multiple RGB-D images into a TSDF voxel volume.
humanbenchmark - Memory tests solver with using OpenCV