segmenter: add metadata regarding operations
(cherry picked from commit 625f754cd531806742327be920accc9ccf0e5f03)
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@ -778,7 +778,35 @@ class SegmenterProcess(multiprocessing.Process):
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date = datetime.datetime.utcnow().isoformat()
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sample = self.__global_metadata["sample_id"].replace(" ", "_")
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# TODO Add process informations to metadata here
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# TODO Make this dynamic: if we change operations order and/or parameters, we need to make this evolve.
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self.__global_metadata["process_1st_operation"] = {
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"type": "remove_background",
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"parameters": {"type": "flat"},
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}
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self.__global_metadata["process_2nd_operation"] = {
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"type": "simple_threshold",
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"parameters": {"algorithm": "THRESH_TRIANGLE"},
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}
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self.__global_metadata["process_3rd_operation"] = {
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"type": "remove_previous_mask",
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"parameters": {},
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}
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self.__global_metadata["process_4th_operation"] = {
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"type": "erode",
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"parameters": {"kernel_size": 2, "kernel_shape": "rectangle"},
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}
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self.__global_metadata["process_5th_operation"] = {
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"type": "dilate",
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"parameters": {"kernel_size": 8, "kernel_shape": "ellipse"},
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}
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self.__global_metadata["process_6th_operation"] = {
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"type": "close",
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"parameters": {"kernel_size": 8, "kernel_shape": "ellipse"},
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}
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self.__global_metadata["process_7th_operation"] = {
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"type": "erode",
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"parameters": {"kernel_size": 8, "kernel_shape": "ellipse"},
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}
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# Define the name of the .zip file that will contain the images and the .tsv table for EcoTaxa
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self.__archive_fn = os.path.join(
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