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The goal of this branch is to implement an SGN detection similar to the synapse detection. An important difference to the implementation of the synapse detection lies in the volumetric output of the SGN instances to improve visualization.


output = open_file(output_path, mode="a")
output_dataset = output.create_dataset(
output_key, shape=shape, dtype=data.dtype,
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You have to set a different data type here. Setting it to the datatype of the input data doesn't make sense.
This is a segmentation, so it's best to set it to uint32.

@constantinpape constantinpape merged commit 7273c48 into master Sep 19, 2025
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@constantinpape constantinpape deleted the sgn_detection branch September 19, 2025 17:52
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3 participants