deepscribe.pipeline.images¶
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class
deepscribe.pipeline.images.ProcessImageTask(*args, **kwargs)¶ Task mapping an hdf5 archive of images to another after applying an image processing function.
Requires implementation of the process_image function.
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output()¶ The location of the transformed HDF5 archive on disk.
Returns: luigi.LocalTarget
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process_image(img)¶ Task mapping an image to to a transformed image.
Parameters: img – np.ndarray Returns: np.ndarray
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run()¶ Runs the process_image function on every image in the HDF5 archive, keeping the archive structure constant.
Returns:
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class
deepscribe.pipeline.images.RescaleImageValuesTask(*args, **kwargs)¶ Subtracts out the mean brightness from each image.
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process_image(img)¶ Normalizes the pixel values (assumed to be 8-bit integers) and subtracts out image-wise mean
Parameters: img – np.ndarray Returns: np.ndarray
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requires()¶ Returns: OchreToHD5Task, required
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class
deepscribe.pipeline.images.StandardizeImageSizeTask(*args, **kwargs)¶ Resizes and pads an image to a square with the provided dimension.
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process_image(img)¶ from https://jdhao.github.io/2017/11/06/resize-image-to-square-with-padding/#using-opencv.
- im : np.array
- Description of parameter img.
- target_size : int
- Description of parameter new_size.
- np.array
- Description of returned object.
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requires()¶ Switches task graph construction depending on self.threshold argument.
Returns: luigi.Task, either ThresholdImageTask or RescaleImageValuesTask
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