You can try disabling DeepStack default objects model using "objects:0" when using the custom models
Yep, I planned to do that. It is done in each camera config, right? I never made it that far till the Rekor Agent crashed.
You can try disabling DeepStack default objects model using "objects:0" when using the custom models
Search google there are several results on the fixesMicrosoft Remote Desktop started crashing with an Error code: 0x112f
I figured out how to download the images that DeepStack used to train the object model. With these images I can start to make the community custom DeepStack model, below are the steps to create the custom model.
The first step would be to create a new DeepStack custom model using the same image that DeepStack used but removing all the labels we do not want. Below is a list of the labels that I think we should keep and a list of labels we should remove. Please let me know if I should change the lists, I am planning to create the new model this weekend so let me know by Friday if I should change the list.
The second step would be to start adding new labels with images the everyone contributes to the custom model.
Combined Labels General Labels Animal Labels Labels removed from Deepstack original model person, bicycle, car, motorcycle, bus, truck, bird, cat, dog, horse, sheep, cow, bear
Future Labels:
deer, rabbit, raccoon, fox, coyote, possum, skunk, squirrel, boarperson, bicycle, car, motorcycle, bus, truck bird, cat, dog, horse, sheep, cow, bear
Future Labels:
deer, rabbit, raccoon, fox, coyote, possum, skunk, squirrel, boarairplane, train, boat, traffic light, fire hydrant, stop sign, parking meter, bench, elephant, 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 dryer, toothbrush Combined V1.1 Training Results:General V1.1 Training Results:
Yes, when the objects change I will make it V2.0Is the objects list still the same in general V1.1?
I am not sure, try DMing the zip file and see if it lets you.What is the size limit for an attachment to a DM?
Once you start using Make Sense it's easy to label the images@MikeLud1 It actually went faster than I thought.
It will help, because I need to have 5% of day/night for validation and 95% of day/night for training.@MikeLud1 Do you want the images segregated into day and night categories or all in one file?
Should have been clearer. How are you getting the jpg files?I'm using the list from the combined model posted by Mike.
What you can do is make a clone camera and only have it using motion detection (No DeepStack or 24x7 recording) just have the camera alert on motion.Should have been clearer. How are you getting the jpg files?
I used saved IVS images directly from the cameras.What you can do is make a clone camera and only have it using motion detection (No DeepStack or 24x7 recording) just have the camera alert on motion.