Module Documentation¶
Official Plugins¶
Core¶
imagepypelines Package¶
Functions¶
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adds the given plugin to ImagePypelines |
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returns a Summarizer object for the given array |
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decorator which converts a normal function into a un-trainable block which can be added to a pipeline. |
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Connects every pipeline in this session to |
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Creates a new child logging adapter from the given parent (root logger by default) |
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fetches the plugin module using its name |
Load all installed plugins to the imagepypelines namespace |
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returns a number string designed to be used in the prefix of systematic outputs. |
returns the number of connected dashboards |
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generate a hashed key from a password |
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checks to see if a file or directory already exists and creates a new filename if it does. |
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check to make sure the given plugin(s) are loaded and raise an error if they can’t be found |
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sets the global master logger level |
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Decorator to time how long a func takes to run in milliseconds |
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Decorator to time how long a func takes to run in milliseconds |
Classes¶
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a contained algorithmic element used to construct pipelines. |
Error raised within a Block |
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Object to send messages from the pipelines to dashboard(s) |
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Warning for connection failure to dashboard |
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Object to batch lists or arrays as block processable data |
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Block that will run any function you give it, either unfettered through the __call__ function, or with optional hardcoded parameters for use in a pipeline. |
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subclass of logging.Logger that can be pickled, also adds colored logging outputs if desired. |
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An object to inject data into the graph |
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a block to act as a leaf node in the Pipeline Graph. |
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processing algorithm manager for simple pipeline construction |
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Block which runs a pipeline internally (used for nesting pipelines within pipelines) |
Error raised within a Pipeline |
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Timer which can be used to time processes |
Class Inheritance Diagram¶
