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multiprocessing

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karolzlot
karolzlot commented Oct 7, 2021

Description

I have a lot of async jobs (>10000).

I want to process results as soon as they are available, so I am using:

async for result in pool.map(run_one_job, jobs_data):

However, some of them take way more time than others. So it happens that many results are already ready, but the above for loop is blocked and is waiting because it can only give results in

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

  • Updated Nov 12, 2019
  • Python

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