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October 21, 2019 13:48
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Pipeline class (see https://medium.com/deepvisionguru/modular-image-processing-pipeline-using-opencv-and-python-generators-9edca3ccb696)
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| class Pipeline(object): | |
| def __init__(self): | |
| self.source = None | |
| def __iter__(self): | |
| return self.generator() | |
| def generator(self): | |
| while self.has_next(): | |
| data = next(self.source) if self.source else {} | |
| if self.filter(data): | |
| yield self.map(data) | |
| def __or__(self, other): | |
| other.source = self.generator() | |
| return other | |
| def filter(self, data): | |
| return True | |
| def map(self, data): | |
| return data | |
| def has_next(self): | |
| return True |
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