extract rectangular area from noisy image
I want to get the clean figure (right) from the noisy figure (left):
To do this, I have a dataset with the noisy figure and its corresponding clean figures. When I put the algorithm into a noisy figure, I want it to estimate the clean figure. Which machine learning algorithm should I use to achieve this?
I know I will use Python, but I am unsure how to input this dataset and to which algorithm? I would appreciate any help provided.
你可以把它当作一个分割任务,并为它使用标准的 U-Net 架构——PyTorch 和 TensorFlow 中有很多实现
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