models
RMagick
models | RMagick | |
---|---|---|
7 | 6 | |
7,192 | 693 | |
1.4% | 0.3% | |
4.8 | 9.3 | |
12 days ago | about 3 hours ago | |
Jupyter Notebook | C++ | |
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.
models
-
AMD Accelerates AI Adoption on Windows 11 With New Developer Tools for Ryzen AI
Uh, maybe they didn't feel the need to look. I already pointed you to the ONNX project. Here are some ONNX-based. These are just the ones being shared with the community. The limit of AMD's responsibility is writing the low-level libraries to support ONNX.
-
Need Help With Darknet YOLOv4-Tiny Model In Unity Barracuda
I am new to object detection models and I need help running my object detection Darknet YOLOv4-Tiny Model In Unity Barracuda. I trained my model and then i converted it to ONNX format with 2 methods. One method was using pytorch-YOLOv4 from github and the other by converting my model to tensorflow and then to onnx and shown here: "https://github.com/onnx/models/blob/main/vision/object_detection_segmentation/yolov4/dependencies/Conversion.ipynb"
-
Need Help Converting Darknet Yolov4-tiny Model to ONNX
Then i tried to convert it again using another method that i found here "https://github.com/onnx/models/blob/main/vision/object_detection_segmentation/yolov4/dependencies/Conversion.ipynb" in order to convert it from darknet to tensorflow and then to onnx but i didn't have any luck.
-
Text generation with GPT-2 in Ruby
Here we use the GPT-2 model distributed by the ONNX official. Download GPT-2-LM-HEAD from the link.
-
YOLOv7 object detection in Ruby in 10 minutes
Download pre-trained models from the ONNX Model Zoo
-
Has anyone successfully converted an onnx model to tensorflow? Here's the problems I'm having...
Instructions to reproduce the problem: I am trying to convert a proprietary model at work but for now i'll use mobilenetv2-7.onnx to explain/reproduce the issue.
-
How to identify identical frames that are not technically duplicates? Ie if I am taking a video of a car, it stops for 1 minute (and within that minute nothing changes visually), and then drives away. How would I remove all but 1 of the frames when it is stopped?
One approach could be run a pre-trained object detector (like one of these) on each frame and then a simple object tracker on top of it (like this).
RMagick
-
How to use ImageMagick in AWS Lambda (ruby 2.7) with WebP support
require 'rmagick' include Magick module LambdaFunction class Handler def self.process(event:, context:) image_url = event['image_url'] my_image = ImageList.new(image_url) # TODO: Use rmagick to make your image transformations # Docs: https://rmagick.github.io { "success": true } end end end
-
YOLOv7 object detection in Ruby in 10 minutes
mini_magick is much slower than YOLO. I hear that rmagick is well maintained these days, so you may want to use that.
-
Building a Dot Matrix Animator
To accomplish this project, I knew I would need some way to process the input images. Resizing the images was the easy bit. The more complex (and more important) task was to find the best way to relate a pixel's color in the source image to a dot's size in final animation. I felt that the relative luminance as described in this W3 accessibility document was a logical property to use in this case, and can be easily calculated with a color's RGB components. After determining what tasks I needed to fulfill, I determined that the RMagick library would be a good choice for this project.
- API to create an image (with text/details) and display it
- Is there a gem/way to edit an image with custom text
What are some alternatives?
SSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2 - This repository contains the script and process to create custom SSD Mobilenet model for object detection
MiniMagick - mini replacement for RMagick
netron - Visualizer for neural network, deep learning and machine learning models
ruby-vips - Ruby extension for the libvips image processing library.
onnx-tensorflow - Tensorflow Backend for ONNX
IMGKit - Uses wkhtmltoimage to create JPGs and PNGs from HTML
redisai-examples - RedisAI showcase
PSD.rb - Parse Photoshop files in Ruby with ease
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Phashion - Ruby wrapper around pHash, the perceptual hash library for detecting duplicate multimedia files
tensorboard - TensorFlow's Visualization Toolkit
Skeptick - Better ImageMagick for Ruby