When image delivery is slow, it can affect the inference time with GPU in the following ways:
The GPU may have to wait for the image data to be transferred from the CPU to the GPU memory, which can increase the overall latency of the inference process.
The processing of the image data on the GPU may be slower due to the limited bandwidth of the communication channel between the CPU and the GPU.
If the image data is streamed in real-time, such as in video analytics, slow image delivery may cause the GPU to drop or skip frames, leading to inaccurate or incomplete results.
Slow image delivery can also increase the contention for GPU resources, such as memory and compute units, which can further slow down the inference process.
Please start posting anonymously - your entry will be published after you log in or create a new account. This space is reserved only for answers. If you would like to engage in a discussion, please instead post a comment under the question or an answer that you would like to discuss
Asked: 2021-08-13 11:00:00 +0000
Seen: 12 times
Last updated: Jan 14 '22
How can TensorRT be installed for TensorFlow on a GPU?
What is the method for aligning an image at the center using NPOI in c#?
How can I use iText7 to create a PDF that includes a pie chart?
What is causing my Flutter Android apk's image to appear as a single 1x1 pixel?
What is meant by "Kubernetes error invalid capacity 0 on image filesystem"?