ImageAI
Keras
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ImageAI | Keras | |
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12 | 77 | |
8,398 | 60,937 | |
- | 0.6% | |
4.5 | 9.9 | |
about 1 month ago | 1 day ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
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
Keras
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My Favorite DevTools to Build AI/ML Applications!
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development.
- Release: Keras 3.3.0
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Getting Started with Gemma Models
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow.
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Keras 3.0
All breaking changes are listed here: https://github.com/keras-team/keras/issues/18467
You can use this migration guide to identify and fix each of these issues (and further, making your code run on JAX or PyTorch): https://keras.io/guides/migrating_to_keras_3/
- Keras 3: A new multi-back end Keras
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Can someone explain how keras code gets into the Tensorflow package?
I'm guessing the "real" keras code is coming from the keras repository. Is that a correct assumption? How does that version of Keras get there? If I wanted to write my own activation layer next to ELU, where exactly would I do that?
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How popular are libraries in each technology
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks.
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List of AI-Models
Click to Learn more...
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Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them.
- free categorical predictive analytic software?
What are some alternatives?
OpenCV - Open Source Computer Vision Library
MLP Classifier - A handwritten multilayer perceptron classifer using numpy.
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
scikit-learn - scikit-learn: machine learning in Python
HASS-Deepstack-object - Home Assistant custom component for using Deepstack object detection
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
nsfw_model - Keras model of NSFW detector
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
FATE - An Industrial Grade Federated Learning Framework
tensorflow - An Open Source Machine Learning Framework for Everyone
cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.