Reduction of RAM usage #1
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In generator_collection.py in DIPGenerator class (line99) the raw_data was saved as field as well as the detrended data.
Since the raw data wasn't been used elsewhere it can be replaced and be called self.data from the reading of the video and by that save quite a lot of RAM usage.
In addition, in the detrend function (same file, line 127) the output from the regression is being saved as float64, while in most cases the video is no more then float32 so it can be cast to float32 and saving memory as well.