ONNXRunTime.jl
Julia bindings for onnxruntime (by jw3126)
yolov8_pytorch_python
YOLOv8 inference using Ultralytics API (by AndreyGermanov)
| ONNXRunTime.jl | yolov8_pytorch_python | |
|---|---|---|
| 1 | 2 | |
| 42 | 44 | |
| - | - | |
| 6.1 | 4.6 | |
| 24 days ago | almost 1 year ago | |
| Julia | HTML | |
| MIT License | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
ONNXRunTime.jl
Posts with mentions or reviews of ONNXRunTime.jl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-13.
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How to create YOLOv8-based object detection web service using Python, Julia, Node.js, JavaScript, Go and Rust
ONNXRuntime - this is the Julia bindings for ONNX runtime library.
yolov8_pytorch_python
Posts with mentions or reviews of yolov8_pytorch_python.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-21.
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Teeth caries detection using YOLOv8 neural network
In the last part of the article about the YOLOv8 object detection, we created a web service, that uses custom YOLOv8 model to detect objects and display their bounding boxes. You can reuse this code. Just replace the model, to the best.pt file, trained here for teeth detection, and you are ready to go!
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How to create YOLOv8-based object detection web service using Python, Julia, Node.js, JavaScript, Go and Rust
As a base, we will use the web service, developed in the previous article, which is available in this repository. We will just rewrite the backend of this web service on different languages. That is why it's required to read the first article before continue reading this.
What are some alternatives?
When comparing ONNXRunTime.jl and yolov8_pytorch_python you can also consider the following projects:
tensor - package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes
resize - Pure golang image resizing
yolov8_onnx_rust - YOLOv8 inference using Rust
onnxruntime_go - A Go (golang) library wrapping microsoft/onnxruntime.
yolov8_onnx_javascript - YOLOv8 inference using Javascript
yolov8_onnx_nodejs - YOLOv8 inference using Node.js
onnxruntime-php - Run ONNX models in PHP
yolov8_onnx_python - YOLOv8 inference using Python
yolov8_onnx_julia - YOLOv8 inference using Julia
ort - A Rust wrapper for ONNX Runtime
ONNXRunTime.jl vs tensor
yolov8_pytorch_python vs resize
ONNXRunTime.jl vs yolov8_onnx_rust
yolov8_pytorch_python vs onnxruntime_go
ONNXRunTime.jl vs yolov8_onnx_javascript
yolov8_pytorch_python vs yolov8_onnx_nodejs
ONNXRunTime.jl vs onnxruntime-php
yolov8_pytorch_python vs yolov8_onnx_javascript
ONNXRunTime.jl vs yolov8_onnx_python
yolov8_pytorch_python vs onnxruntime-php
ONNXRunTime.jl vs yolov8_onnx_julia
yolov8_pytorch_python vs ort