![]() We recommend to use hdf5 for input and output over, for example, TIF stacks. It should be the same order that you would give in the dataset properties.įurthermore, if stack input is used, the input_axes define axes per slice. Note that the order should be given in “C-order”, so the fastest varying axes comes last. input_axes=zcyx for a 3D dataset with channels and the axes in the “zcyx” order). ![]() In such cases, supply the axes explicitly (e.g. In some cases ilastik’s default guess for the axes is not correct. -input_axes specify meaning of your axes.-readonly Open the project in read-only mode necessary for using a single project from multiple processes.-project The path to your project file, which you have already used to train a classifier.-headless Invokes headless classification mode. ![]() See Known Issues for more info.īy default, ilastik will use all available CPU cores (as detected by Python’s “multiprocessing” module), including “virtual” cores if your CPU supports hyperthreading (like most modern Intel processors) and all RAM available on your machine.ĬPU and RAM resources can be controlled with environment variables or a config file as described here. If you mix them up, you might get strange errors.
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