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Unknown Hub V2
While the client can take action on certain error codes, the registry may addnew error codes over time. All client implementations should treat unknownerror codes as UNKNOWN, allowing future error codes to be added withoutbreaking API compatibility. For the purposes of the specification error codeswill only be added and never removed.
Unknown Hub V2
A 404 Not Found response will be returned if the image is unknown to theregistry. If the image exists and the response is successful, the imagemanifest will be returned, with the following format (seedocker/docker#8093 for details):
If one or more layers are unknown to the registry, BLOB_UNKNOWN errors arereturned. The detail field of the error response will have a digest fieldidentifying the missing blob. An error is returned for each unknown blob. Theresponse format is as follows:
so a week ago, I installed a new board and CPU into my case, and after that, I got a lot of issues with Oculus and the USB hub that would not work, stating "unknown USB Device, (Port Reset failed)". When it would work, I would have a lot of shuttering issues while playing (iRacing). In the end, the issue was not about Oculus itself, but the USB 3.0 interface. Since all my other devices are usb 2.0, it was hard to figure that out.
Now you want to expand Imaging Devices, Universal Serial Bus Controllers and Unknown Devices. If you see anything listed there that is greyed out or that says unknown device, go ahead and right-click on them and choose Uninstall. Hopefully, removing the older devices will allow the newer devices to work properly.
A modern unmanaged switch provides the functionality of a multiport bridge; each of the switch ports is on its own collision domain. Like bridges, the switch has built-in support for the Spanning Tree Protocol (STP), which provides loop prevention when multiple switches (bridges) are connected, introducing the potential for switching loops. A switch also keeps an internal database of the known MAC addresses connected to each port. This information is used to reduce the amount of Ethernet frame flooding that occurs when a device location is unknown (as with hubs).
This notebook shows how to use the CropNet cassava disease classifier model from TensorFlow Hub. The model classifies images of cassava leaves into one of 6 classes: bacterial blight, brown streak disease, green mite, mosaic disease, healthy, or unknown.
The cassava dataset has images of cassava leaves with 4 distinct diseases as well as healthy cassava leaves. The model can predict all of these classes as well as sixth class for "unknown" when the model is not confident in it's prediction.
Let's measure the accuracy of our classifier on a split of the dataset. We can also look at the robustness of the model by evaluating its performance on a non-cassava dataset. For image of other plant datasets like iNaturalist or beans, the model should almost always return unknown. 041b061a72