Savant
caer
| Savant | caer | |
|---|---|---|
| 54 | 8 | |
| 482 | 749 | |
| 3.3% | - | |
| 9.3 | 0.0 | |
| 8 days 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.
Savant
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🚀 Savant 0.2.6 is Out: Release Notes
Website: https://savant-ai.io/
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Meet a new Savant Demo: Realtime (45 FPS) YOLOv8 instance segmentation
Link: https://github.com/insight-platform/Savant/tree/develop/samples/yolov8_seg
- Opt for a new innovative deep learning and computer vision framework on Nvidia platforms.
- Experience the benefits of a new Nvidia-optimized open-source framework in computer vision projects.
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?
pipeless - An open-source computer vision framework to build and deploy apps in minutes without worrying about multimedia pipelines [Moved to: https://github.com/pipeless-ai/pipeless]
fiftyone - The open-source tool for building high-quality datasets and computer vision models
rpi-object-detection - Real-time object detection and tracking using Raspberry Pi and OpenCV!
img2table - img2table is a table identification and extraction Python Library for PDF and images, based on OpenCV image processing
nebuly - The user analytics platform for LLMs
opencv - Haskell binding to OpenCV-3.x
aphrodite-engine - PygmalionAI's large-scale inference engine
Single-Image-Dehazing-Python - python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"
jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
Pine - :evergreen_tree: Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.
moviepy - Video editing with Python