Add video preprocessing (denoising) feature

[t-sasatani]

[STILL DRAFT. Could also be a different package because this isn't really "I/O"] This PR adds a denoising module for neural recording videos. It can be used offline and I think we can also use this in real-time with the streamDaq too.

Processing features

• Detect broken buffers by comparing buffers with the same position buffer in the previous frame (I'm only doing mean error now, but we can also add more stastistic functions).
• Remove broken buffers by copying in the same position buffer in the previous frame.
• Spatial frequency-based filtering.
• Generate the minimum projection out of a stack of frames.

Following is an example frame that detects noisy regions and patches it with the prior frame buffer:

Interface

You can run this with mio process denoise using an example video.
The denoising parameters and export settings can be defined with a YAML file.

mio process denoise -i .\user_dir\test.avi -c .\miniscope_io\data\config\process\denoise_example.yml

Minor changes

• Moved VideoWriter to io module because it's pretty generic, and I wanted to use it for the denoising.
• Added a user_dir for keeping user data.

To do/considerations

• Finish writing the modules. Add more processing modules.
• Organize.
• Write tests.
• The config interface feels pretty redundant...

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📚 Documentation preview 📚: https://miniscope-io--83.org.readthedocs.build/en/83/

[coveralls]

Pull Request Test Coverage Report for Build 12208523886

Details

• 17 of 346 (4.91%) changed or added relevant lines in 8 files are covered.
• No unchanged relevant lines lost coverage.
• Overall coverage decreased (-14.7%) to 62.478%

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Changes Missing Coverage	Covered Lines	Changed/Added Lines	%
miniscope_io/cli/main.py	0	2	0.0%
miniscope_io/cli/process.py	0	12	0.0%
miniscope_io/io.py	15	32	46.88%
miniscope_io/models/process.py	0	32	0.0%
miniscope_io/models/frames.py	0	52	0.0%
miniscope_io/plots/video.py	0	59	0.0%
miniscope_io/process/video.py	0	155	0.0%

Totals
Change from base Build 12208310258:	-14.7%
Covered Lines:	1069
Relevant Lines:	1711

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💛 - Coveralls

[sneakers-the-rat]

omfg you already did it!?!??!?!?! u are so fast. cant wait to check this out!!!!!

[coveralls]

coverage: 65.465% (-13.6%) from 79.112%
when pulling 9cd2bc3 on feat-preprocess
into 920d795 on main.