onnxruntime-php
Run ONNX models in PHP (by ankane)
yolov8_pytorch_python
YOLOv8 inference using Ultralytics API (by AndreyGermanov)
| onnxruntime-php | yolov8_pytorch_python | |
|---|---|---|
| 2 | 2 | |
| 94 | 55 | |
| - | - | |
| 7.3 | 4.6 | |
| 9 days ago | almost 2 years ago | |
| PHP | 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-php
Posts with mentions or reviews of onnxruntime-php.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-22.
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Machine Learning with PHP
The ONNX Runtime Downloader plugin at the end, is very simple, it triggers automatically the download of the ONNX Runtime thanks to the ONNX Runtime PHP package.
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How to create YOLOv8-based object detection web service using Python, Julia, Node.js, JavaScript, Go and Rust
Also, there are unofficial bindings for other languages, like PHP. It's a great way to integrate neural networks to WordPress websites.
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-php and yolov8_pytorch_python you can also consider the following projects:
ort - Fast ML inference & training for ONNX models in Rust
onnxruntime_go - A Go (golang) library wrapping microsoft/onnxruntime.
yolov8_onnx_julia - YOLOv8 inference using Julia
yolov8_onnx_nodejs - YOLOv8 inference using Node.js