How to decrease the processing time for running image processing task on raspberry pi? [closed] - image-processing

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I want to run image processing task on raspberry pi 4, as for now it is taking 30seconds for the image processing and object detection task. Programming language I use is Python. How can I minimise it more?
My current framework is taking 30 seconds to process all those image processing and object detection task currently I'm running on my rapsberry pi4.

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Is roboflow image augmentation as good as it is marketed? I know yolov5 already performs augmentations on its own, so should I even use roboflow's image augmentation (e.g. both perform mosaic augmentation)? Roboflow increases the sample size, so under which circumstances is it ok to use it?

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I aim to implement multiple node streaming, and concurrently modify the value of a key. I would like to perform this task using C++ on an Arduino platform. Could you kindly assist me in accomplishing this task?
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How would I go about using the Golang Docker SDK to build service that has live container output? This does not seem to be possible other than when the process has finished.
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I would like to know if it is possible to read several lines from a file in parallel with my GPU in Keras. Imagine that I have a file with 50 features (i.e 50 columns) and 10k lines that I would like to process in parallel, what's the most efficient way to do it with Keras? Moreover, I don't want to train my model, since I'm already in the deployment phase of the project.
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my application consuming more battery, it is using more battery in one hour it using around 30%.
how to handle it.
I don't have any idea about it.
Thanks,
You can do things like:
1. Turn location services on only when they are needed.
2. You can reduce the location Accuracy.
Refer this Apple Documentation

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