yolov8_onnx_python
yolov8_segmentation_python
| yolov8_onnx_python | yolov8_segmentation_python | |
|---|---|---|
| 2 | 1 | |
| 11 | 19 | |
| - | - | |
| 4.0 | 5.3 | |
| 7 months ago | 9 months ago | |
| Python | Jupyter Notebook | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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yolov8_onnx_python
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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.
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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 whole project with comments in this GitHub repository.
yolov8_segmentation_python
What are some alternatives?
ultralytics - NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
tensor - package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes
ONNXRunTime.jl - Julia bindings for onnxruntime
multer - Node.js middleware for handling `multipart/form-data`.
serde - Serialization framework for Rust
yolov8_onnx_nodejs - YOLOv8 inference using Node.js
Rocket - A web framework for Rust.
Express - Fast, unopinionated, minimalist web framework for node.
ort - A Rust wrapper for ONNX Runtime
yolov8_onnx_javascript - YOLOv8 inference using Javascript
sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.