Datashift - Rigid and Segmented Registration #29
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- eMouse simulation example - Jenkins report builder - Simple comparison analysis
* 'master' of github.com:rossant/pykilosort: Typed Configuration (MouseLand#28) Comparison between MATLAB & Python Versions (MouseLand#25) Add dockerfile for running tests with GPU (MouseLand#22)
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alexmorley
commented
Sep 21, 2020
| counter = np.zeros(2, dtype=np.int32, order='F') | ||
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| # filter the data with the temporal templates | ||
| Conv1D = cp.RawKernel(code, 'Conv1D') |
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@kushbanga was this Conv1D function the one you said had a bug?
alexmorley
commented
Sep 21, 2020
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These files are for regression tests.
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(the output is from the MATLAB version)
alexmorley
commented
Sep 21, 2020
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| TEST_DATA_FOLDER = "tests/fixtures/data" | ||
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| @pytest.mark.requires_gpu |
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Not sure this one does require gpu...
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Suggestion from @kushbanga. Let's add a test against the MATLAB version that the depth shift is exactly the same for each time segment. |
* 'master' of github.com:rossant/pykilosort: fixes bug fix minor fix
…ashift * 'datashift' of github.com:alexmorley/pykilosort: minor bug
alexmorley
commented
Oct 15, 2020
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| # upsample the shift for each channel using interpolation | ||
| if len(ysamp) > 1: | ||
| # zero pad input so "extrapolation" tends to zero |
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NB: Makima vs zero-padded Akima
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Try:
- regression towards mean
- mirror
alexmorley
commented
Oct 15, 2020
| ) # this kernel is fixed as a variance of 1 | ||
| dcs = cp.array(dcs) | ||
| # dcs = my_conv2_cpu(dcs, .5, [0,1,2]) | ||
| for i in range(dcs.shape[0]): |
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conv bug in MATLAB??
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@kushbanga I just pushed a bunch of fixes that I had sitting on my laptop just FYI! |
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more tests here alexmorley/kilosort-testing#2 |
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V1 working version of datashift.
Probably could use a) a couple more unit tests and b) better integration with the sorting flow.
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