ONNXRunTime.jl
Julia bindings for onnxruntime (by jw3126)
yolov8_onnx_python
YOLOv8 inference using Python (by AndreyGermanov)
ONNXRunTime.jl | yolov8_onnx_python | |
---|---|---|
1 | 2 | |
42 | 10 | |
- | - | |
6.1 | 4.0 | |
24 days ago | 7 months ago | |
Julia | Python | |
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.
-
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_onnx_python
Posts with mentions or reviews of yolov8_onnx_python.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-04.
-
How to implement instance segmentation using YOLOv8 neural network
Most of the code will be reused from the previous project, that you can find in GitHub.
-
How to create YOLOv8-based object detection web service using Python, Julia, Node.js, JavaScript, Go and Rust
You can find the whole project with comments in this GitHub repository.
What are some alternatives?
When comparing ONNXRunTime.jl and yolov8_onnx_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
ultralytics - NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
yolov8_onnx_rust - YOLOv8 inference using Rust
yolov8_segmentation_python - YOLOv8 image segmentation through ONNX in Python
yolov8_onnx_javascript - YOLOv8 inference using Javascript
onnxruntime-php - Run ONNX models in PHP
multer - Node.js middleware for handling `multipart/form-data`.
yolov8_pytorch_python - YOLOv8 inference using Ultralytics API
serde - Serialization framework for Rust
yolov8_onnx_julia - YOLOv8 inference using Julia
yolov8_onnx_nodejs - YOLOv8 inference using Node.js
ONNXRunTime.jl vs tensor
yolov8_onnx_python vs ultralytics
ONNXRunTime.jl vs yolov8_onnx_rust
yolov8_onnx_python vs yolov8_segmentation_python
ONNXRunTime.jl vs yolov8_onnx_javascript
yolov8_onnx_python vs tensor
ONNXRunTime.jl vs onnxruntime-php
yolov8_onnx_python vs multer
ONNXRunTime.jl vs yolov8_pytorch_python
yolov8_onnx_python vs serde
ONNXRunTime.jl vs yolov8_onnx_julia
yolov8_onnx_python vs yolov8_onnx_nodejs