System.InvalidOperationException: Failed to compare two elements in the array.

[apedance]

Hey there,

thanks for your hard work.

I installed the latest beta 2.6.95 today. When I launch the tool I get following error message and the images are not processed. They just pile up in the queue.

getting next URL: System.InvalidOperationException: Failed to compare two elements in the array.
---> System.NullReferenceException: Object reference not set to an instance of an object.
at ThreadSafe.DateTime.op_Equality(DateTime tsd1, DateTime tsd2) in C:\Documents\Projects_GIT\VorlonCD\bi-aidetection - NET6\src\UI\ThreadSafe.cs:line 370
at ThreadSafe.DateTime.CompareTo(DateTime other) in C:\Documents\Projects_GIT\VorlonCD\bi-aidetection - NET6\src\UI\ThreadSafe.cs:line 219
at System.Linq.EnumerableSorter2.CompareAnyKeys(Int32 index1, Int32 index2) at System.Collections.Generic.ArraySortHelper1.IntroSort(Span1 keys, Int32 depthLimit, Comparison1 comparer)
at System.Collections.Generic.ArraySortHelper1.Sort(Span1 keys, Comparison1 comparer) --- End of inner exception stack trace --- at System.Collections.Generic.ArraySortHelper1.Sort(Span1 keys, Comparison1 comparer)
at System.Linq.EnumerableSorter2.QuickSort(Int32[] keys, Int32 lo, Int32 hi) at System.Linq.OrderedEnumerable1.ToList()
at AITool.AITOOL.WaitForNextURL(Camera cam, Boolean GetRefinementServer, List1 predictions, String RequiredLinkURLList, List1 MainURLs) in C:\Documents\Projects_GIT\VorlonCD\bi-aidetection - NET6\src\UI\AITOOL.cs:line 1108

I am using CodeProject AI and had no issues with previous versions.
Was running 2.6.40 perfectly fine.

[clowgg]

I am having the same error.
How do you downgrade to an older version? I installed AIToolSetup.2.6.54 over the top of .95, but it won't run. Splash screen comes up and then app never appears.

[VorlonCD]

Sorry, missed this. I think at least one solution is to rename or delete _Settings\AITool.Settings.JSON. Everything would have to be re-configured from scratch. It looks like something related to a stored date is empty/null in your config.

I'll add better error handling to that for the next release, but not sure when that might be.

I just wonder why it never happened to me during testing. Always used the same config file.

[clowgg]

I just discovered that if I untick 'Queued' in the AI Server URLs section of Settings, I don't get the errors.
I have 3 CodeProject AI URLs listed in the [Edit] screen.

[Yonny24]

following

[Yonny24]

I had returned to this great tool but yes this latest version was giving me a lot of issues.

I unticked the error box in the url server set up and also the mesh due to the error below

Failure response from 'CodeProject_AI_Custom'. Error='The request timed out...

and

Failure response from 'CodeProject_AI_Custom'. Error='Unable to run inference: There is at least 1 reference to internal data
in the interpreter in the form of a numpy array or slice. Be sure to
only hold the function returned from tensor() if you are using raw
data access.'. JSON: '{"success":false,"error":"Unable to run inference: There is at least 1 reference to internal data\n in the interpreter in the form of a numpy array or slice. Be sure to\n only hold the function returned from tensor() if you are using raw\n data access.","inferenceMs":0,"processMs":32,"predictions":[],"message":"","count":0,"moduleId":"ObjectDetectionCoral","moduleName":"Object Detection (Coral)","code":500,"command":"custom","requestId":"f0643618-2de2-4080-bf0a-e10c1b303ab0","inferenceDevice":"TPU","analysisRoundTripMs":58,"processedBy":"localhost","timestampUTC":"Wed, 18 Sep 2024 01:45:26 GMT"}'

Been at this for hours and it fills up with red logs

Failure response from 'CodeProject_AI_Custom'. Error='Unable to run inference: There is at least 1 reference to internal data
  in the interpreter in the form of a numpy array or slice. Be sure to
  only hold the function returned from tensor() if you are using raw
  data access.'. JSON: '{"success":false,"error":"Unable to run inference: There is at least 1 reference to internal data\n      in the interpreter in the form of a numpy array or slice. Be sure to\n      only hold the function returned from tensor() if you are using raw\n      data access.","inferenceMs":0,"processMs":21,"predictions":[],"message":"","count":0,"moduleId":"ObjectDetectionCoral","moduleName":"Object Detection (Coral)","code":500,"command":"custom","requestId":"087630a7-fae9-41f7-8103-e9aff04ee634","inferenceDevice":"TPU","analysisRoundTripMs":58,"processedBy":"localhost","timestampUTC":"Wed, 18 Sep 2024 01:51:17 GMT"}'