Model use

[LouisJin05]

❔Question

How to use the exported best.onnx model trained by yolov5 in MATLAB？

Additional context

[github-actions[bot]]

👋 Hello @LouisJin05, thank you for your interest in 🚀 YOLOv5! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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Requirements

Python 3.8 or later with all requirements.txt dependencies installed, including torch>=1.7. To install run:

$ pip install -r requirements.txt

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Google Colab and Kaggle notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), testing (test.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.

[glenn-jocher]

@LouisJin05 MATLAB with YOLO may be a bit of a stretch my friend. As a former MATLAB expert (i.e. https://github.com/ultralytics/functions-matlab) I can tell you that moving over to Python would be a great idea if your situation allows it.

MATLAB implementations will always be trailing updates, meaning that the newest AI architectures and advances will arrive in Python first and then eventually the most popular may migrate to official MATLAB support, but this time lag could be years, if at all.

[LouisJin05]

Sir,

Very glad to hear from you，and I will continue to explore in the future！

Thank you very much！

LouisJin

------------------ 原始邮件 ------------------ 发件人: "ultralytics/yolov5" @.>; 发送时间: 2021年3月19日(星期五) 晚上7:21 @.>; @.**@.>; 主题: Re: [ultralytics/yolov5] Model use (#2508)

@LouisJin05 MATLAB with YOLO may be a bit of a stretch my friend. As a former MATLAB expert (i.e. https://github.com/ultralytics/functions-matlab) I can tell you that moving over to Python would be a great idea if your situation allows it.

MATLAB implementations will always be trailing updates, meaning that the newest AI architectures and advances will arrive in Python first and then eventually the most popular may gain event MATLAB support, but this time lag could be years, if at all.

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or unsubscribe.

[github-actions[bot]]

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