yolov8_pytorch_python
yolov8_caries_detector
| yolov8_pytorch_python | yolov8_caries_detector | |
|---|---|---|
| 2 | 1 | |
| 44 | 0 | |
| - | - | |
| 4.6 | 4.6 | |
| about 1 year ago | 3 months ago | |
| HTML | Jupyter Notebook | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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yolov8_pytorch_python
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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.
yolov8_caries_detector
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Teeth caries detection using YOLOv8 neural network
You can find all source code for this article in this repository, but I recommend writing it from scratch, by reading the article.
What are some alternatives?
resize - Pure golang image resizing
onnxruntime_go - A Go (golang) library wrapping microsoft/onnxruntime.
yolov8_onnx_nodejs - YOLOv8 inference using Node.js
yolov8_onnx_javascript - YOLOv8 inference using Javascript
onnxruntime-php - Run ONNX models in PHP
ort - A Rust wrapper for ONNX Runtime
ONNXRunTime.jl - Julia bindings for onnxruntime
yolov8_onnx_julia - YOLOv8 inference using Julia
sharp - High performance Node.js image processing, the fastest module to resize JPEG, PNG, WebP, AVIF and TIFF images. Uses the libvips library.
tensor - package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes
yolov8_onnx_rust - YOLOv8 inference using Rust
yolov8_onnx_go - YOLOv8 Inference using Go