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object检测fps和视频fps有什么区别?

[英]what is the difference between object detection fps and video fps?

`I'm using in edge impulse FOMO `我正在使用边缘冲动 FOMO

I know that object detection fps is 1/inference time my model's time per inference is 2ms so object detection is 500fps我知道 object 检测 fps 是 1/推理时间 我的模型每次推理的时间是 2ms 所以 object 检测是 500fps

but my model run vscode fps is 9.5但是我的 model 运行 vscode fps 是 9.5

what is the difference between object detection fps and video fps? object检测fps和视频fps有什么区别?

If I understand correctly, your object detection fps indicates the number of frames (or images) that your model, given your system, can process in a second.如果我理解正确,您的 object 检测 fps 表示您的 model 在给定系统的情况下可以在一秒钟内处理的帧数(或图像)。

A video fps in your input source's frames per second.输入源的每秒帧数中的视频 fps。 For example, if your video has an fps (also referred to as framerate) of 100, then your model would be able to detect objects in all of the frames in 100ms (or 1/10 of a second).例如,如果您的视频的 fps(也称为帧速率)为 100,那么您的 model 将能够在 100 毫秒(或 1/10 秒)内检测到所有帧中的对象。

In your case, your video input source seems to have 9.5 frames in a second.在您的情况下,您的视频输入源似乎每秒有 9.5 帧。 This means that your model, given your system, will process 1-second wort of a video in about ~20ms.这意味着给定您的系统,您的 model 将在大约 20 毫秒内处理 1 秒的视频。

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