Benchmark Simple

1import depthai as dai
2
3device= dai.Device()
4
5with dai.Pipeline(device) as p:
6    # Create a BenchmarkOut node
7    # It will listen on the input to get the first message and then send it out at a specified rate
8    # The node sends the same message out (creates new pointers), not deep copies.
9    benchmarkOut = p.create(dai.node.BenchmarkOut)
10    benchmarkOut.setRunOnHost(True) # The node can run on host or on device
11    benchmarkOut.setFps(30)
12
13    # Create a BenchmarkIn node
14    # This node is receiving the messages on the input and measuring the FPS and latency.
15    # In the case that the input is with BenchmarkOut, the latency measurement is not always possible, as the message is not deep copied,
16    # which means that the timestamps stay the same and latency virtually increases over time.
17    benchmarkIn = p.create(dai.node.BenchmarkIn)
18    benchmarkIn.setRunOnHost(False) # The node can run on host or on device
19    benchmarkIn.sendReportEveryNMessages(100)
20    benchmarkIn.logReportsAsWarnings(False)
21    benchmarkIn.setLogLevel(dai.LogLevel.TRACE)
22
23    benchmarkOut.out.link(benchmarkIn.input)
24    outputQueue = benchmarkIn.report.createOutputQueue()
25    inputQueue = benchmarkOut.input.createInputQueue()
26
27    p.start()
28    imgFrame = dai.ImgFrame()
29    inputQueue.send(imgFrame)
30    while p.isRunning():
31        benchmarkReport = outputQueue.get()
32        assert isinstance(benchmarkReport, dai.BenchmarkReport)
33        print(f"FPS is {benchmarkReport.fps}")