Engineering realization of the system
The project has designed a clear use process and technical specifications, users only need to complete the watermark removal through a simple three-step command: cloning the repository, installing dependencies, and executing the processing script. This standardized process effectively ensures the stability of the processing results, while the main.py script provides a wealth of parameter options, such as -watermark_type to specify the type of watermark, -checkpoint_dir to set the model path. The system will automatically save the processing results in the specified directory, and the user does not need to intervene in the complex details of the algorithm during the whole process. This engineering implementation makes the image restoration of this professional technology to achieve mass application, greatly enhancing the practical value of the tool.
This answer comes from the articleWatermark Removal: open source image watermark removal tool, picture watermark recovery original imageThe
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