CodeProject.AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI.
First, if I have for example YOLOv5 6.2, YOLOv5 .NET and YOLOv8 modules installed, how is the module selected when I POST? I'm guessing if one is in use it will go to the next? Or is it like I see in your mesh code where it tried to always use the fastest one first?
{"success":false,"error":"Unable to create YOLO detector for model ipcam-animal","moduleId":"ObjectDetectionYOLOv8","moduleName":"Object Detection (YOLOv8)","code":500,"command":"custom","requestId":"2538e33e-9a7f-4718-aeb2-8f1c6607a0cc","inferenceDevice":"GPU","analysisRoundTripMs":97,"processedBy":"localhost","timestampUTC":"Tue, 28 May 2024 19:14:40 GMT"}
This of course does not happen if I only have YOLOv5 6.2 module enabled.
If there is not already a way to accomplish this I missed (modulesettings.json?) I would like either:
In addition to the existing min_confidence parameter, add the ability to specify moduleId in the post json. This could be a comma separated list of modules that CAN process ipcam-animal. (I think there is more than one that can, right?)
Or a setting on the server to disallow ipcam-animal from being processed by modules it does not support
Using AITOOL I'll often wait for combined results of the regular detection + ipcam-animal for more accurate results. And its MUCH faster processing when multiple modules are enabled.
Hello!
First, if I have for example YOLOv5 6.2, YOLOv5 .NET and YOLOv8 modules installed, how is the module selected when I POST? I'm guessing if one is in use it will go to the next? Or is it like I see in your mesh code where it tried to always use the fastest one first?
Issue: When I post http://127.0.0.1:32168/v1/vision/custom/ipcam-animal I will (I think randomly) get this error response:
{"success":false,"error":"Unable to create YOLO detector for model ipcam-animal","moduleId":"ObjectDetectionYOLOv8","moduleName":"Object Detection (YOLOv8)","code":500,"command":"custom","requestId":"2538e33e-9a7f-4718-aeb2-8f1c6607a0cc","inferenceDevice":"GPU","analysisRoundTripMs":97,"processedBy":"localhost","timestampUTC":"Tue, 28 May 2024 19:14:40 GMT"}This of course does not happen if I only have YOLOv5 6.2 module enabled.
If there is not already a way to accomplish this I missed (modulesettings.json?) I would like either:
min_confidenceparameter, add the ability to specifymoduleIdin the post json. This could be a comma separated list of modules that CAN process ipcam-animal. (I think there is more than one that can, right?)Using AITOOL I'll often wait for combined results of the regular detection + ipcam-animal for more accurate results. And its MUCH faster processing when multiple modules are enabled.
Thanks!