Axis Camera Application Platform (ACAP) version 4 example applications that provide developers with the tools and knowledge to build their own solutions based on the ACAP Computer Vision SDK
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Spike in inference time from the inference server #190
Added sample screenshots.
Please let me know what could be wrong.
Explain the behavior you would expect and the actual behavior.
To reproduce
Please provide as much context as possible and describe the reproduction steps that someone else can follow to recreate the issue on their own.
A team member will try to reproduce the issue with your provided steps. If there are no reproduction steps or no obvious way to reproduce the issue, the team will ask you for those steps. Bugs without steps will not be addressed until they can be reproduced.
Steps to reproduce the behavior:
Set up '...'
Do this '...'
See error
Screenshots
If applicable, add screenshots to help explain your problem.
Environment
Axis device model: [e.g. Q1615 Mk III]
Axis device firmware version: [e.g. 10.5]
Stack trace or logs: [e.g. Axis device system logs]
OS and version: [e.g. macOS v12.2.1, Ubuntu 20.04 LTS, Windows build 21996.1]
Version: [version of the application, SDK, runtime environment, package manager, interpreter, compiler, depending on what seems relevant]
I have trained yolov5m model and sucessfully deployed on Axis "AXIS M4317-PLR Panoramic Camera".
The avg inference time is 70-80 ms but sometimes there is a spike in inference time from inference server. I am using below repo for my custom trained yolov5 model https://github.com/AxisCommunications/axis-model-zoo/blob/main/docs/yolov5-on-artpec8.md For deployment I have used https://github.com/AxisCommunications/acap-computer-vision-sdk-examples/tree/main/object-detector-python
Added sample screenshots. Please let me know what could be wrong.
![Screenshot from 2024-08-21 17-08-12](https://github.com/user-attachments/assets/cb4b38e7-7a13-440f-ac47-32ae8644a6df)
Explain the behavior you would expect and the actual behavior.
To reproduce
Please provide as much context as possible and describe the reproduction steps that someone else can follow to recreate the issue on their own.
A team member will try to reproduce the issue with your provided steps. If there are no reproduction steps or no obvious way to reproduce the issue, the team will ask you for those steps. Bugs without steps will not be addressed until they can be reproduced.
Steps to reproduce the behavior:
Screenshots
If applicable, add screenshots to help explain your problem.
Environment
Additional context
Add any other context about the problem here.