yolov8_onnx_julia
YOLOv8 inference using Julia (by AndreyGermanov)
tensor
package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes (by gorgonia)
| yolov8_onnx_julia | tensor | |
|---|---|---|
| 1 | 2 | |
| 3 | 341 | |
| - | 1.8% | |
| 3.1 | 4.2 | |
| about 1 year ago | about 1 month ago | |
| Julia | Go | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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.
yolov8_onnx_julia
Posts with mentions or reviews of yolov8_onnx_julia.
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
You can find the source code of the Julia project in this repository.
tensor
Posts with mentions or reviews of tensor.
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
If you like to work with this output in a more convenient "Pythonic" way, there is a Gorgonia Tensor library that emulates features of NumPy in Go. You can use it to physically reshape the output to 84x400, then transpose to 8400x84 and then traverse detected objects by row.
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I'm trying to create an easy to use tensor package for golang
Have you seen https://github.com/gorgonia/tensor?
What are some alternatives?
When comparing yolov8_onnx_julia and tensor you can also consider the following projects:
yolov8_onnx_nodejs - YOLOv8 inference using Node.js
ONNXRunTime.jl - Julia bindings for onnxruntime
ort - A Rust wrapper for ONNX Runtime
onnxruntime_go - A Go (golang) library wrapping microsoft/onnxruntime.
yolov8_onnx_rust - YOLOv8 inference using Rust
Psalm - A static analysis tool for finding errors in PHP applications
yolov8_pytorch_python - YOLOv8 inference using Ultralytics API
Zephir - Zephir is a compiled high-level language aimed to ease the creation of C-extensions for PHP
yolov8_onnx_python - YOLOv8 inference using Python
yolov8_onnx_go - YOLOv8 Inference using Go
yolov8_onnx_julia vs yolov8_onnx_nodejs
tensor vs ONNXRunTime.jl
yolov8_onnx_julia vs ort
tensor vs onnxruntime_go
yolov8_onnx_julia vs yolov8_onnx_rust
tensor vs Psalm
yolov8_onnx_julia vs yolov8_pytorch_python
tensor vs Zephir
yolov8_onnx_julia vs ONNXRunTime.jl
tensor vs yolov8_onnx_python
yolov8_onnx_julia vs yolov8_onnx_go
tensor vs yolov8_onnx_nodejs