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metadata
license: mit
tags:
  - docker
  - deep-learning
  - computer-vision
  - solder-joint-classification
  - offline
  - air-gapped
datasets:
  - docker-image

🐳 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.


🔗 Original Project

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


📄 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

💾 Download the Docker Image

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


🐳 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.


🛠️ System Requirements

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

📋 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

🤝 Support

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


📄 License

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