minkim26/dnp_ai_project_docker

🐳 DNP AI Project - Docker Image (Offline Version)

This repository provides an offline Docker image for the DNP_AI_Tool project, which automates solder joint classification using deep learning.

📦 You can download and run the Docker image without needing to pull it from Docker Hub—perfect for offline environments.

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🔗 Original Project

The main project and source code are available here: 👉 GitHub: minkim26/DNP_AI_Tool

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📄 Image Details

• Docker Tag: minkim26/dnp_ai_project:latest
• Compressed Filename: dnpAItool.tar.gz
• Image Type: Docker image exported with docker save and compressed with gzip
• Base Platform: Linux, suitable for x86_64 Docker environments

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💾 Download the Docker Image

Click below to download the compressed image file: ➡️ Download dnpAItool.tar.gz

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🐳 Load and Run the Image

1. Load the image into Docker:

gunzip -c dnpAItool.tar.gz | docker load

2. Run the container:

docker run -it --name dnp_ai_container minkim26/dnp_ai_project:latest

3. Access the application:

Once the container is running, you can access the DNP AI Tool interface according to the instructions in the original project repository.

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🛠️ System Requirements

• Docker installed and running
• Minimum 4GB RAM recommended
• x86_64 architecture
• At least 3GB free disk space for the extracted image

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📋 Usage Notes

• This is a standalone Docker image that contains all necessary dependencies
• No internet connection required after download
• Perfect for secure or isolated environments
• Compatible with standard Docker commands and orchestration tools

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🤝 Support

For issues related to the Docker image setup, please refer to the original project repository: minkim26/DNP_AI_Tool

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📄 License

This Docker image package follows the same license as the original DNP_AI_Tool project.