5分钟,带你复现YOLOv12进行目标检测
仓库地址:git@github.com:sunsmarterjie/yolov12.git。下载yolov12s pre-trained的模型。登陆http://127.0.0.1:7860/5分钟,带你复现YOLOv12进行目标检测。conda创建Python 3.11环境。
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5分钟,带你复现YOLOv12进行目标检测
仓库地址:git@github.com:sunsmarterjie/yolov12.git
conda创建Python 3.11环境
source ~/.bashrc
conda update
conda conda create -n yolov12 python=3.11
conda activate yolov12
部署环境
git clone git@github.com:sunsmarterjie/yolov12.git
cd yolov12
wget https://github.com/Dao-AILab/flash-attention/releases/download/v2.7.3/flash_attn-2.7.3+cu11torch2.2cxx11abiFALSE-cp311-cp311-linux_x86_64.whl
pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple

pip install -e .

下载yolov12s pre-trained的模型
wget https://github.com/sunsmarterjie/yolov12/releases/download/turbo/yolov12s.pt
测试demo
python app.py
登陆http://127.0.0.1:7860/


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