The workhorse of jDAS is the denoise() routine. JDAS.load_model(model_path="path/to/model/saved-model.h5")). one that is trained on a specific dataset), it can be loaded by pointing model_path to the directory where the frozen model is stored (e.g. The jDAS repository already contains a pretrained model that is loaded by default when calling JDAS.load_model() without additional arguments. Load a pretrained model with JDAS.load_model().Ĭall the denoising routine noise() with the data to be denoised. Denoising DAS data with jDAS is fast and easy, and can be summarised in 3 steps:
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