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.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.
I can't wait for this support!
They do have a Coral for testing (I saw it during a Zoom call) also see the below post and they are going to add support for it.
Any updates on the availability of 2.0?Yes, they are almost finished with version 2.0, it should be released this week.
I though it was going to be released earlier. It looks like the first week of December.Any updates on the availability of 2.0?
List of the COCO Object Classes The COCO dataset classes for object detection and tracking include the following pre-trained 80 objects: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 -_-
giraffe but no deer? Not in my neighborhood!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'
@1fxman Are you using substream to do AI?Does anyone know what would cause this lag? thanks.
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.@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.
So Mike, anyway to add "Deer"? Right now I'm running both Yolov5l ,and IPcam -combined for deer, but I think it would be better cpu wise to only have to use Yolov5l?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'
Soon I am going to start updating my models and look to have S, M, & L versions. So there will be a IPcam-combinedl model.So Mike, anyway to add "Deer"? Right now I'm running both Yolov5l ,and IPcam -combined for deer, but I think it would be better cpu wise to only have to use Yolov5l?
I had that problem from using AI on all my cams. I only have 4 using AI and I added a GPU and most of my lag is gone.Does anyone know what would cause this lag? thanks.
For us still on DS, I take it no more updates.Soon I am going to start updating my models and look to have S, M, & L versions. So there will be a IPcam-combinedl model.
Thanks for the response. I have 13 cameras going and plan on adding more (cameras still in boxes). I thinking you may be right about the GPU. But wondering if it could be slow internet on my part. And it’s slooooooooooow. I did notice that the CPU really jumps up when I run AI analytics.I had that problem from using AI on all my cams. I only have 4 using AI and I added a GPU and most of my lag is gone.