barnyard
n3wb
Which part? Are you referring to the text?How can I do that too?
Sent from my Pixel 3 using Tapatalk
Which part? Are you referring to the text?How can I do that too?
If running as a service, before starting the GUI for viewing history/settings, STOP the service. Although I still randomly get this error when multiple deepstack services process requests at the same time and all try to write to the file, or the file is being updated because of a deleted file. I'm working on converting the code for writing to history.csv to a SQLite db so when that is finished you shouldnt see that error any longer.oops...
ERROR: Can't write to cameras/history.csv!
i think i broke the ai, let me search if this has happened, in the mean time if someone already knows off the top of their head,.. a point in the correct direction would be helpfull.. Thanks
Have you found a solution to this yet?If I put the into the web browser it goes to the DeepStack page.
@Chris DodgeMinor update to VorlonCD mod:
- Ability to specify telegram captions when sending images [ Thank you @mayop ! - @barnyard ]
- Ability to specify custom filename for image copy action [partial implementation for @aesterling 's request - No saving/merging of markup/detection rectangle yet]
- Variables added - [Prefix], [ImageFilenameNoExt], [SummaryNonEscaped] (may not always work for filenames and urls)
- Fix for dynamic mask history sometimes not getting purged
Releases · VorlonCD/bi-aidetection
Alarm system for Blue Iris based on Artificial Intelligence. - VorlonCD/bi-aidetectiongithub.com
My doorbell camera is vertical and always seems to show the detection rectangles correctly. There was a bug @Tinbum mentioned a few pages back that sounds exactly the same. Think it was only happening with a beta docker or PI version of Deepstack.@Chris Dodge
First, thanks for the great work and making your project available to all of us.
Couple minor things I noticed:
Not sure if you are aware but the integrated masking feature is broken for cameras that show a vertical image instead of horizontal. For example, my doorbell camera.
The image is not masked in the correct place when drawing it in. It usually masks like 2 inches below the pointer.
Also, I reverted back to your 1.72 version because it's the only version that stops sending images to Deepstack after a trigger URL has been called. The newer versions continue sending images to Deepstack and spike my CPU.
It was the pi version with me. the mask would be lower down if the object was near the top and higher up if near the bottom. Left and right were correct.My doorbell camera is vertical and always seems to show the detection rectangles correctly. There was a bug @Tinbum mentioned a few pages back that sounds exactly the same. Think it was only happening with a beta docker or PI version of Deepstack.
If you have Telegram enabled, it was likely causing the high cpu issue. I fixed that in the most recent release. If you still have trouble let me know.
Also added is the ability to merge detection annotations into the image before sending to telegram or copying .
Releases · VorlonCD/bi-aidetection
Alarm system for Blue Iris based on Artificial Intelligence. - VorlonCD/bi-aidetectiongithub.com
This is exactly what it does for me. I'm running everything locally on the same windows 10 machine (Blue Iris, AITool, & Deepstack).It was the pi version with me. the mask would be lower down if the object was near the top and higher up if near the bottom. Left and right were correct.
[17.09.2020, 21:44:20.033]: Starting analysis of C:\AI_input\doorbellsd.20200917_214419909.jpg
[17.09.2020, 21:44:20.085]: (1/6) Uploading image to DeepQuestAI Server
[17.09.2020, 21:44:20.237]: (2/6) Waiting for results
[17.09.2020, 21:44:20.453]: (3/6) Processing results:
[17.09.2020, 21:44:20.465]: System.NullReferenceException | Object reference not set to an instance of an object. (code: -2147467261 )
[17.09.2020, 21:44:20.495]: ERROR: Processing the following image 'C:\AI_input\doorbellsd.20200917_214419909.jpg' failed. Failure in AI Tool processing the image.