This is a Python project for removing unwanted objects from images using the inpainting technique. It includes a server implemented with FastAPI and an endpoint for processing images by applying inpainting techniques. This project uses a deep learning library, PyTorch, for training and testing the inpainting model.
To install this project, you should first create a virtual environment using the following commands:
1python3 -m venv venv
2source venv/bin/activate
After creating the virtual environment, you can install the required libraries using pip:
-
http://{localhost}:{port}/lama/paint
- This endpoint accepts an image file in the
file parameter and applies inpainting techniques to remove unwanted objects.
-
http://{localhost}:{port}/mask
- Mask endpoint is used to apply a mask to an image. The route accepts
img and mask as input parameters. Then, it applies a mask on an image.
- You can use
testX.png image and testX_mask.png mask in image folder for testing.
This project is licensed under the MIT License - see the LICENSE file for details.
