Pytorch入门教程-Yolov5安装

Pytorch入门教程-Yolov5安装

说明：

• 介绍如何安装和使用Yolov5

步骤：

• 编译和安装Yolov5

mkdir ~/dl
cd dl
python3 -m venv venv 
source venv/bin/actavite
git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

• 测试推理
• 新建文件

touch exmaple_inference.py

• 内容如下：

import torch

# Model
model = torch.hub.load('ultralytics/yolov5', 'yolov5s')  # or yolov5n - yolov5x6, custom

# Images
img = 'https://ultralytics.com/images/zidane.jpg'  # or file, Path, PIL, OpenCV, numpy, list

# Inference
results = model(img)

# Results
results.print()  # or .show(), .save(), .crop(), .pandas(), etc.
results.show() 

• 执行

python3 exmaple_inference.py

• 完成后弹出一张图片，标注了识别物体的百分比
• 效果图：