カメラシーケンス

camerasseq は、カメラ画像のシーケンスで構成され、各フレームには異なるセンサーからの1〜12枚の画像を含めることができます。camerasseqオブジェクトの各フィールドの詳細については、 docid\ m9gj 7ge3m0jf7hvlohj2 の関連セクションをご覧ください。 from future import absolute import from typing import optional from uuid import uuid4 import kognic io model scene cameras sequence as csm from kognic io client import kognicioclient from kognic io logger import setup logging from kognic io model import createsceneresponse, image def run(client kognicioclient, dryrun bool = true, kwargs) > optional\[createsceneresponse] print("creating cameras sequence scene ") sensor1 = "rfc01" sensor2 = "rfc02" metadata = {"location lat" 27 986065, "location long" 86 922623, "vehicle id" "abg"} scene = csm camerassequence( external id=f"camera seq images example {uuid4()}", frames=\[ csm frame( frame id="1", relative timestamp=0, images=\[ \# jpg images in frame 1 image( filename=" /examples/resources/img rfc01 jpg", sensor name=sensor1, ), image( filename=" /examples/resources/img rfc02 jpg", sensor name=sensor2, ), ], metadata={"dut status" "active"}, ), csm frame( frame id="2", relative timestamp=500, images=\[ \# png images in frame 2 image( filename=" /examples/resources/img rfc11 png", sensor name=sensor1, ), image( filename=" /examples/resources/img rfc12 png", sensor name=sensor2, ), ], metadata={"dut status" "active"}, ), csm frame( frame id="3", relative timestamp=1000, images=\[ \# webp vp8 images in frame 3 image( filename=" /examples/resources/img rfc21 webp", sensor name=sensor1, ), image( filename=" /examples/resources/img rfc22 webp", sensor name=sensor2, ), ], metadata={"dut status" "active"}, ), csm frame( frame id="4", relative timestamp=1500, images=\[ \# webp vp8l images in frame 4 image( filename=" /examples/resources/img rfc31 webp", sensor name=sensor1, ), image( filename=" /examples/resources/img rfc32 webp", sensor name=sensor2, ), ], metadata={"dut status" "active"}, ), csm frame( frame id="5", relative timestamp=2000, images=\[ \# webp vp8x images in frame 5 image( filename=" /examples/resources/img rfc41 webp", sensor name=sensor1, ), image( filename=" /examples/resources/img rfc42 webp", sensor name=sensor2, ), ], metadata={"dut status" "active"}, ), csm frame( frame id="6", relative timestamp=2500, images=\[ \# avif images in frame 6 image( filename=" /examples/resources/img rfc51 avif", sensor name=sensor1, ), image( filename=" /examples/resources/img rfc52 avif", sensor name=sensor2, ), ], metadata={"dut status" "active"}, ), ], metadata=metadata, ) \# create scene return client cameras sequence create(scene, dryrun=dryrun, kwargs) if name == " main " setup logging(level="info") \# project available via `client project get projects()` project = "\<project identifier>" client = kognicioclient() run(client, project=project) dryrunを使用してシーンを検証 メソッド呼び出しで dryrun パラメータをtrueに設定すると、apiを使用してシーンが検証されますが、実際には作成されません。