I'm trying to improve the time it takes for a task to finish by leveraging multithreading/paralleling.
I'm reading CMSampleBuffer
s from a video track, manipulating them, then storing them back to an array for later use. Because each manipulation is "costly" in terms of RAM
and CPU
, I'm using DispatchSemaphore
to limit the number of parallel tasks (5 in the example).
Basically, I'm trying to make the "system" process more than a single frame in a time, and not above 5 so the device won't crash due to memory issues. In the current implementation below it's for some reason doing it almost serialize and not in parallel.
Any help will be highly appreciated!
I tried taking reference from here: How to limit gcd queue buffer size for the implementation.
Code:
class MyService {
let semaphore = DispatchSemaphore(value: 5)
let processQueue = DispatchQueue(label: "custom.process", attributes: .concurrent)
func startReading() {
for sampleBuffer in sampleBuffers {
// signal wait
semaphore.wait()
// async queue
processQueue.async {
// run taks
self.process(buffer: sampleBuffer) { pixelBuffer in
// singal to semaphore
self.semaphore.signal()
}
}
}
}
func process(buffer: CMSampleBuffer, completion: @escaping (CVPixelBuffer) -> (Void)) {
// run on a background thread to avoid UI freeze
DispatchQueue.global(qos: .userInteractive).async {
// Do something
// Do something
// Do something
// Do something
completion(processedBuffer)
}
}
}