flowdec
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TensorFlow Deconvolution for Microscopy Data
While indeed extremely fast, the GPU memory requirement is impractical on my setup: about 8 GB for a 1024x1024x19 image (16-bit) and a tiny 32x32x16 PSF. For images slightly above...
Hi Eric, I manage to established the pipeline using flowdec to deconvolved the lighthsheet images, but I am observing that for each channel and block the tensorflow enviorment is reload....
Tensorflow is supposed to run with them. Do we absolutely need nvidia/CUDA? Thanks in advance.
Bumps [junit](https://github.com/junit-team/junit4) from 4.3.1 to 4.13.1. Release notes Sourced from junit's releases. JUnit 4.13.1 Please refer to the release notes for details. JUnit 4.13 Please refer to the release notes...
installing both tensorflow and flowdec through the pip install instructions results in the above problem. This is a tensorflow problem and can be solved by rolling back the CUDA install...
Hi folks, this isn't a proper pull request - i totally don't expect anyone to accept this code as is, since it would break everything. Rather, you can see that...
Hi, I try your code recently and it works well and fast. Thanks! However, I really need to do some simple deconvolution process for thousands of times. This means I...
In: https://github.com/hammerlab/flowdec/blob/81e70927e86a3adeff7bbf0eeabad9f923109b7e/python/flowdec/restoration.py#L245 The shape differences are summed but it should be the sum of comparison to 0 (or reduce_max)
While experimenting with `real_domain_fft` I noticed that this has different input shape requirements compared to `complex_domain_fft`. As a result, `pad_modes` in `['none', '2357']` will throw an error for some input...
Hi, I'm just trying to get into tensorflow to be able to modify flowdec to my needs. There are two things I am trying to achieve: 1. do input and...