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I have seen the code and it seems that the schedule_frame() method is a perpetual disk writting of images in the virtual node path, am I right?
I was wondering if there is any solution that let a python process to "send" processed (for example a deep learning detection algorithm) to a virtual device path which can be retrived by another python process on demand (for example an api, with reads the stream when a certain method is call) without having to write the frames in memory
The text was updated successfully, but these errors were encountered:
I have seen the code and it seems that the
schedule_frame()
method is a perpetual disk writting of images in the virtual node path, am I right?I was wondering if there is any solution that let a python process to "send" processed (for example a deep learning detection algorithm) to a virtual device path which can be retrived by another python process on demand (for example an api, with reads the stream when a certain method is call) without having to write the frames in memory
The text was updated successfully, but these errors were encountered: