feat: support dynamic shape for plot_feature_topomap - #107
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My dataset uses faced, which has nine classes, which resulted in a drawing that was too long, so I added the adjustable shape feature: 3*3 shape is easier to watch: besides, I found this test cannot be passed: torcheeg/test/utils/test_visualize.py Line 27 in 2edf33d my result shape is (350, 1550, 4): same shape mismatches occur with one or two other graphing functions. My test steps were, first make sure torcheeg is not installed over the network, then It's a bit strange, I would suggest you to check if this shape is correct, it's also possible that we have different versions of torcheeg's dependency libraries. If your test is fine, then see if my newly added test code matches your results, whichever is yours |
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besides, I have to say that this repository is very useful for us to train the baseline model, thanks, I am going to add the above mentioned faced dataset to torcheeg, when I have some time. |
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Thank you for your contribution. The code implementation looks very standard. I will directly merge them. This contribution will be noted in the changelog for the next version update. |
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I will uniformly refactor the test cases for the plotting part. |
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