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David Rotermund 2023-07-13 15:36:27 +02:00 committed by GitHub
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@ -58,7 +58,13 @@ For installing torch under Windows see here: https://pytorch.org/get-started/loc
- scale data_svd (-> to_remove) and remove it from data (data -= to_remove) - scale data_svd (-> to_remove) and remove it from data (data -= to_remove)
- the movie is downsamples in time - the movie is downsamples in time
- torchaudio.functional.resample from 30fps to 3 fps - torchaudio.functional.resample from 30fps to 3 fps
- bandpass filter 0.1 - 1.0 Hz - bandpass filter 0.1 - 1.0 Hz (based on torchaudio's filtfilt)
- SVD Denosing - SVD Denosing
- A windows is moved over the spatial dimensions. The window has the size (2*window_size+1) x (2*window_size+1) with window_size=2
- A SVD is calculated over each individual window.
- Calculate whitening matrices and co from it.
- Whiten the movie patch and average over the spatial dimensions. -> data_svd
- Calculate scaling factor between data_svd and data for all the individual pixels.
- Use the time series in the center of the window as denoised signal.
- torch.nn.AvgPool2d - torch.nn.AvgPool2d
- save as ..._decorrelated.npy - save as ..._decorrelated.npy