https://github.com/allrivertosea/cloud-deployment-of-sewer-defect-detection-using-yolov8
Deploy the model on a cloud server to run the inference service, and perform image inference locally by calling the Python package designed for inference.
https://github.com/allrivertosea/cloud-deployment-of-sewer-defect-detection-using-yolov8
Science Score: 13.0%
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○Scientific vocabulary similarity
Low similarity (3.4%) to scientific vocabulary
Repository
Deploy the model on a cloud server to run the inference service, and perform image inference locally by calling the Python package designed for inference.
Basic Info
- Host: GitHub
- Owner: allrivertosea
- Language: Python
- Default Branch: main
- Size: 0 Bytes
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Cloud-Deployment-of-Sewer-Defect-Detection-Using-YOLOv8
Deploy the model on a cloud server to run the inference service, and perform image inference locally by calling the Python package designed for inference.
检测效果
使用说明
阿里云服务器
- 镜像为 Ubuntu 18.04 64 位，分配公网 IP。注意：在安全组中我们要添加入方向允许任何 IP 地址的流量访问某端口。
- 将推理服务代码上传到服务器，运行：
生成推理 Python 包
- 推理程序包：sewerdt Infer.py：我们定义一个 SewerDetector 类，构造方法中有两个实例属性（url 和 headers），有一个普通实例方法 detect，传输参数为 imagepath，返回由云服务器得到的推理结果 result。
- 编写 setup.py 在封装代码 sewer_dt 同级目录下，编写一个 setup.py 脚本，用于描述自己的 Python 包。
- 编写 MANIFEST.in
- 打包 Python 包 在命令行中进入封装代码的根目录，并执行以下命令来打包 Python 包： python setup.py sdist bdist_wheel，将在 dist 目录下生成一个.tar.gz 文件和一个.whl 文件，用于安装和发布 Python 包。
- 安装 Python 包 可以将其发布到 PyPI 上，这里我们只进行本地安装。 pip install dist/sewerdt-0.1.tar.gz ### 本地使用 sewerdt 包进行推理
- python inferfrompackage.py
Owner
- Login: allrivertosea
- Kind: user
- Repositories: 1
- Profile: https://github.com/allrivertosea
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Dependencies
- requests *
- requests *