aimm
caer
| aimm | caer | |
|---|---|---|
| 3 | 8 | |
| 13 | 749 | |
| - | - | |
| 4.4 | 0.0 | |
| 9 months ago | 7 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
aimm
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Looking for input, have been working on aimodels.org
Hi, I've been working on aimodels.org for awhile, and am trying to put together a user friendly showcase of different models capabilities. I'd like to develop a community of some sort and expand the site, but I'm kind of a shut in and am not the best at marketing.
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Civitai alternatives.
Hi, I put some work into aimodels.org but haven't had time to keep adding new things to it so it's on hold.
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Welcome to r/AIModels!
Also I have been developing a project called aimodels, the code is here https://github.com/visioninit/aimm
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?
rtdl - Research on Tabular Deep Learning [Moved to: https://github.com/yandex-research/rtdl]
fiftyone - The open-source tool for building high-quality datasets and computer vision models
civitai - A repository of models, textual inversions, and more
img2table - img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing
opencv - Haskell binding to OpenCV-3.x
Single-Image-Dehazing-Python - python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
moviepy - Video editing with Python
RobustVideoMatting - Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
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