leptonai
ImageAI
leptonai | ImageAI | |
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2 | 12 | |
2,469 | 8,416 | |
5.7% | - | |
9.7 | 4.5 | |
2 days ago | 13 days 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.
leptonai
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Show HN: Running LLMs in one line of Python without Docker
Hello Hacker News! We're Yangqing, Xiang and JJ from lepton.ai. We are building a platform to run any AI models as easy as writing local code, and to get your favorite models in minutes. It's like container for AI, but without the hassle of actually building a docker image.
We built and contributed to some of the world's most popular AI software - PyTorch 1.0, ONNX, Caffe, etcd, Kubernetes, etc. We also managed hundreds of thousands of computers in our previous jobs. And we found that the AI software stack is usually unnecessarily complex - and we want to change that.
Imagine if you are a developer who sees a good model on github, or HuggingFace. To make it a production ready service, the current solution usually requires you to build a docker image. But think about it - I have a few python code and a few python dependencies. That sounds like a huge overhead, right?
lepton.ai is really a pythonic way to free you from such difficulties. You write a simple python scaffold around your PyTorch / TensorFlow code, and lepton launches it as a full-fledged service callable via python, javascript, or any language that understands OpenAPI. We use containers under the hood, but you don't need to worry about all the infrastructure nuts and bolts.
We have made the python library open-source at https://github.com/leptonai/leptonai/. With it, launching a common HuggingFace model is as simple as a one liner. For example, if you have a GPU, Stable Diffusion XL is as simple as:
```
- Lepton: An open-source library (Apache 2.0) for scaling model inference
ImageAI
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Photo gallery frontend with encryption and search
Hi. I want to implement an image server similar to Photoprism using ImageAI to tag images based on objects and context. However I don't want to spend to much time working on the frontend, at first I were thinking about using Danbooru and use Flexbooru or the web interface on my phone. But it doesn't have any encryption or password protection (since the purpose of it is to be used as a public image board).
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Is it possible to use ML to identify a certain pattern in videos by training with videos?
From ImageAI?
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FOSS self-hosted image-to-text gpu accelerated object recognition ? Is there anything on the table yet ?
https://github.com/amusi/awesome-object-detection https://mmdetection.readthedocs.io/en/latest/index.html https://github.com/thtrieu/darkflow https://github.com/OlafenwaMoses/ImageAI https://github.com/dmlc/gluon-cv https://github.com/aim-uofa/AdelaiDet/ https://github.com/aim-uofa/AdelaiDet/blob/master/configs/FCOS-Detection/README.md https://github.com/wizyoung/YOLOv3_TensorFlow
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I want to make a Class monitoring system. is it possible in the conditions I'm in ??
Some resources to get you started...https://towardsdatascience.com/object-detection-with-10-lines-of-code-d6cb4d86f606https://github.com/OlafenwaMoses/ImageAIhttps://towardsdatascience.com/yolo-object-detection-with-opencv-and-python-21e50ac599e9https://github.com/meituan/YOLOv6
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[Project] Seeking Advice on How to Train an Image Detection AI with a Large Labeled Dataset.
Thanks for your suggestion, I appreciate it! I think you're right. I stumbled upon the ImageAI project which I think might make for good interface to train the CNN. Going to give that a try and see how the model turns out.
- Sort Image Files
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Robot Systems: Software Stack Overview
Image AI
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Is there a way to use Python to interact with an already opened web page?
Yo good question, my first thought was image recognition so something like this (https://github.com/OlafenwaMoses/ImageAI) and and then some other stuff so it is able to find the search bar, click on it, and then input the text. Or you could use image recognition to copy the URL and then open up a Selenium instance from there.
- NEED HELP REGARDING GPU
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[Question] Is openCV the righ tool for this job? Trying to identify parts of same shape but with different markings and colors.
Use a pre-trained model such as YOLOv3 to feed datasets into for Image recognition so model can learn what you want then instead of using Opencv to run model for image recognition you could use ImageAi
What are some alternatives?
examples - Lepton Examples
OpenCV - Open Source Computer Vision Library
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
TensorFlow-object-detection-tutorial - The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
chainer - A flexible framework of neural networks for deep learning
HASS-Deepstack-object - Home Assistant custom component for using Deepstack object detection
ivy - The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy]
nsfw_model - Keras model of NSFW detector
ivy - The Unified AI Framework
FATE - An Industrial Grade Federated Learning Framework
server - The Triton Inference Server provides an optimized cloud and edge inferencing solution.
cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images