48 lines
1.1 KiB
Markdown
48 lines
1.1 KiB
Markdown
# YOLO26深度讲解
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## 一、实验环境
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```shell
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# 创建虚拟环境
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conda create -n yolo26 python=3.12 -y
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# 激活虚拟环境
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conda activate yolo26
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# 安装最新YOLO库
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pip install ultralytics -i https://pypi.mirrors.ustc.edu.cn/simple
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# 重装PyTorch（仅Windows）
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pip install torch==2.4.1 torchvision==0.19.1 torchaudio==2.4.1 --index-url https://download.pytorch.org/whl/cu124
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```
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## 二、视觉任务
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```shell
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# 1、目标检测基础
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python 01-detect-base.py
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# 2、模型参数
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python 02-model-info.py
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# 3、目标检测训练
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python 03-train-base.py
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# 4、训练数据标注
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python 04-lable-fmt.py
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# 5、自定义数据训练
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python 05-train-custom.py
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# 6、自定义类别检测
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python 06-detect-custom.py
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# 7、语义分割基础
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python 07-segment-base.py
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# 8、语义分割训练
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python 08-segment-train.py
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# 9、开放词汇分割
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python 09-segment-yoloe.py
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# 10、分类基础
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python 10-class-base.py
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# 11、分类训练
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python 11-class-train.py
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# 12、自定义数据分类训练
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python 12-custom-train.py
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# 13、自动标注
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python 13-auto-annotate.py
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```
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