5.5.8 - June 13, 2022 - Code Project’s SenseAI Version 1 - See V2 here https://ipcamtalk.com/threads/codeproject-ai-version-2-0.68030/

toastie

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After dark this afternoon a delivery driver wearing a Hi Vis jacket with lots reflective strips showed up well under my cameras IR lights, as though we was wearing an illuminated jacket. He was missed by all cameras in CP AI but did trigger clips in all cameras in BI.
Has the ipcam-dark model been trained on such an image?
 

biggen

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After dark this afternoon a delivery driver wearing a Hi Vis jacket with lots reflective strips showed up well under my cameras IR lights, as though we was wearing an illuminated jacket. He was missed by all cameras in CP AI but did trigger clips in all cameras in BI.
Has the ipcam-dark model been trained on such an image?
Not sure if it’s trained for that but occasionally I get missed delivery men as well using ipcam-general. It’s not often however. I’d put it at a 99% success rate which is good. No AI will be 100%.
 

toastie

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Just to add some clarification, in Testing and Tuning CP AI didn't draw any box around the delivery driver, it did around his truck by the road and my parked vehicle in our drive. BI though did have him covered in small colored squares so appeared in the list of All clips. If I'd set the lowest of confidence levels in AI I expect that he still wouldn't have shown up in my list of Alert clips.

I suppose it's also impressive how modern reflective clothing is so effective, I could see him but not AI.
 

1fxman

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Just to add some clarification, in Testing and Tuning CP AI didn't draw any box around the delivery driver, it did around his truck by the road and my parked vehicle in our drive. BI though did have him covered in small colored squares so appeared in the list of All clips. If I'd set the lowest of confidence levels in AI I expect that he still wouldn't have shown up in my list of Alert clips.

I suppose it's also impressive how modern reflective clothing is so effective, I could see him but not AI.
Cloaking device:rofl:
 

CCTVCam

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Yeah I just looked. At $59.99 atm. Only issue is the lack of 1 click support for installation on Code Project's Sense AI. Once we have that, we're laughing.
 

jrbeddow

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Yeah I just looked. At $59.99 atm. Only issue is the lack of 1 click support for installation on Code Project's Sense AI. Once we have that, we're laughing.
Yeah, I have been seeing and counting on the "official" $59.99 price (on the main Google Coral website) for the last several weeks, but then realized that that green "Buy" button isn't a direct purchase button: it then shows several companies to buy from, but essentially all of them are either out of stock or much higher in price.
 

ohlin5

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Yeah I haven't seen it anywhere near $59 yet, but from what I'm seeing it can currently be somewhat widely found for ~$105-ish. Granted that's still a huge percentage increase, but it's a heck of a lot better than ~300+% markups previously seen and given the investment I've already made in server hardware I'd pay that to have a massive increase in my analyzing throughput for sure
 

ohlin5

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Am I blind or where is the list of models/labels that yolov5l supports/detects? I've got some Christmas deer in my front yard that are being detected as a giraffe -_-
 

MikeLud1

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Am I blind or where is the list of models/labels that yolov5l supports/detects? I've got some Christmas deer in my front yard that are being detected as a giraffe -_-
List of the COCO Object Classes The COCO dataset classes for object detection and tracking include the following pre-trained 80 objects:

'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis','snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush'
 

rdxny

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List of the COCO Object Classes The COCO dataset classes for object detection and tracking include the following pre-trained 80 objects:

'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 'traffic light', 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis','snowboard', 'sports ball', 'kite', 'baseball bat', 'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush'
giraffe but no deer? Not in my neighborhood!
 

1fxman

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@1fxman Are you using substream to do AI?

The above behavior is indicative of using main camera stream. Do a search, there's been other posts on this.
Yes, I checked my camera sittings to make sure the “use main camera stream” was not checked. I did edgeicate myself on the main and sub stream issue somewhat. But to make sure I’m going to recheck it.
 
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