Image to .npy Bi-directional Converter

This Python script converts images (including SVG) to .npy files and vice versa.

Features

• Convert JPEG, PNG, SVG (and more) to NumPy (.npy) format.
• Convert .npy files back into images.
• Supports SVG conversion using cairosvg.

📦 Installation

Clone the repository and install dependencies:

git clone https://github.com/HappySR/image-to-npy-bi-directional-converter.git

pip install -r requirements.txt

Dependencies:

• numpy
• Pillow
• cairosvg (only needed for SVG support)

Install dependencies manually if needed:

pip install numpy pillow cairosvg

🛠 Usage

If you keep your script in the root directory, you can run it like this:

Convert an Image to .npy

python image_to_npy_bidirectional.py --mode to_npy --input image.jpg --output image.npy

Convert .npy Back to an Image

python image_to_npy_bidirectional.py --mode to_image --input image.npy --output output.png

Convert SVG to .npy

python image_to_npy_bidirectional.py --mode to_npy --input image.svg --output image.npy

📂 Using File Paths

You can also provide absolute or relative paths for input and output files.

🔹 Using Relative Paths

(Relative to the script's location)

python image_to_npy_bidirectional.py --mode to_npy --input images/sample.jpg --output npy_files/sample.npy

python image_to_npy_bidirectional.py --mode to_image --input npy_files/sample.npy --output output_images/sample.png

🔹 Using Absolute Paths

(Replace /path/to/ with the actual directory)

python image_to_npy_bidirectional.py --mode to_npy --input /home/user/images/sample.jpg --output /home/user/npy_files/sample.npy

python image_to_npy_bidirectional.py --mode to_image --input /home/user/npy_files/sample.npy --output /home/user/output_images/sample.png

📝 Notes

• SVG images are first converted to PNG before saving as .npy.
• The script automatically detects formats and handles conversions accordingly.

🤝 Contributing

Feel free to submit issues or pull requests!

📜 License

This project is licensed under the MIT License.

🛠 Developed By

💡 Subhajit Roy 🚀 Connect with me: GitHub | LinkedIn