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 withgzip
- 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.