kandi X-RAY | Tuner Summary
kandi X-RAY | Tuner Summary
Top functions reviewed by kandi - BETA
- Region resume hook
- Finds the peak with the n - crossing between the n - zero values
- Computes the pitch at the specified audio buffer
- Displays the note of the given pitch
- Sets the text size
- Convert the spoint value to pixels
- Convert dp to pixels
- Gets the coordinate point
- Initialize the dashboard
- Set the header text of the header
- Sets the standard size
- On pause hook
- Deinitializes the recorder
- End hook
- Display note text
- Set the real time value
- Set real time value
- Initialize area
- Region draw on drawable
Tuner Key Features
Tuner Examples and Code Snippets
Trending Discussions on Tuner
is there a way to connect a dvr tuner to a Plex Server hosted in Hyper-V?
I have searched but could not find a Question about this topic.
My build is a Win22 Datacenter Server running Plex in Hyper-V. A Hauppauge dualHD is connected to the Win22 Datacenter Server via USB.
Thanks for your help!...
ANSWERAnswered 2022-Apr-15 at 09:46
I'm updating my answer as I didn't realize it was a tuner and not a DVR box connected to your TV. From what I'm seeing online, your best bets are:
- use Enhanced Session Mode to connect the device over RDP (which only supports some devices)
- use a third-party tool such as Donglify (this is from results on Google. Buy at your own digression) to allow USB passthrough
- use a Type 2 hypervisor (VirtualBox, VMware) to run your instance of Plex instead
- run Plex outside of Hyper-V on the same system with a sandboxed user
- run Plex on another device entirely, such as a Raspberry Pi.
I can't help with the first, as it requires some gpedit.msc magic I cannot do, or second as I have never used one.
3rd option will reduce program speeds which may cause slowdown if multiple people stream at once.
4th option is my personal recommendation, as you bypass the need to use a hypervisor entirely and keep on the same device.
5th is only good if you use a USB-based drive and have a decent bit of experience with Linux.
Kept for the sake of archival.
You'll want to use Powershell and the
Add-NetNatStaticMapping cmdlet to allow inbound connections to the Hyper-V server. This will need a vNAT adapter set up. See the linked blog post (not mine) if you need help with that, too.
Assuming the vEthernet connection has an internal IP of
192.168.10.2 and a NAT network name of
NATSwitch, with Plex on the default port of
ANSWERAnswered 2022-Mar-04 at 18:22
If both the models need to be jointly optimized, you could run a SageMaker HPO job in script mode and define both the models in the script. Or you could run two HPO jobs, optimize each model, and then create the Pipeline Model. There is no native support for doing an HPO job on a PipelineModel.
I work at AWS and my opinions are my own.
I want to use RCF's "test" channel, to get performance-metrics of the model.
I have previously used the
record_set() method without specifying a channel and training worked fine.
However if I upload my feature matrix and label vector using
record_set() and set
channel='test' like this:
ANSWERAnswered 2022-Feb-25 at 12:20
Thanks for opening the issue, I added a +1. In the meantime, you can use alternative SDKs to train Random Cut Forest and set test channel distribution to FullyReplicated.
For example, those SDKs should give you this control:
I have a program,
rtl_433, that outputs lines of JSON - maybe once or twice a minute, while it's running. I need to pipe that data as
HTTP POST data to curl.
What complicates matters is that this string needs to be encapsulated in single quotes, which they're not, so I need to add that before shipping it to
Now, here's the thing: This works just fine:...
ANSWERAnswered 2022-Feb-16 at 08:42
The problem here is that
rtl_433 never exits, it just keeps printing lines for every message it receives.
This is a problem because
curl is going to wait until it receives an EOF (end of file) marker to know when it has received all payload it needs to send to in the HTTP request, but of course it never gets this. The EOF would be automatically added when
Your best bet is probable to move from a one line script to a proper bash command reads from
rtl_433 a line at a time and then runs
sed on that line before passing it to curl.
I'm kinda new to xamarin. I got this error when I'm switching from debug mode to release mode, I search everywhere but I got no answer....
ANSWERAnswered 2021-Sep-03 at 21:04
Turning linking off is the lazy answer. The point of using the linker is to remove "dead" code and minimize the size of the program. The size of a mobile app is more important to many users.
The linker used in Xamarin.Android is going to remove code it thinks you are not using. This is especially true when using reflection. To fix this you would need to tell the compiler you're using the type.
A popular solution is to use a
LinkerPleaseInclude.cs file and make stub methods using the type and properties so the compiler thinks you're using them. You will find many examples on the Internet.
Error only occurs when compiling on release mode... on debug mode the compiling occurs without problem... can you help me?
This is the stack trace for error......
ANSWERAnswered 2022-Feb-02 at 22:41
What your linker settings? Please change it to None, then release it, if you will get the same exception,then please share Android option screenshot that contains all the settings when release. No Dex compiler was specified, select D8 Dex compiler in the Android project properties => android options => dex compiler D8 Code :
I had a docker image that was building successfully for months. However, since Dec 17th I've run into the error shown in the Jenkins console output below. Nothing has changed in the dockerfile so it's clearly something to do with the underlying environment, I have a Jenkins server running on AWS EC2. The strange thing is all the other packages are installing fine without any reference to R_HOME, it's just the XML package install that's failing
I've tried explicitly setting R_HOME in the dockerfile as per this thread but no luck....
ANSWERAnswered 2022-Jan-19 at 02:44
In my case I tracked the issue down to
test -x not working. The
/usr/bin/R script uses that to check if the
/usr/lib/R folder exists.
Searching for solutions to this sent me to various bug reports in Ubuntu but I managed to resolve the issue by upgrading docker version. My Docker host is Centos not Ubuntu like in most bug reports, however my container is based on Ubuntu.
Things worked again after upgrading Docker to the following packages:
I am using different LSTM architectures in combination with kerastuner.
ANSWERAnswered 2022-Jan-18 at 07:41
You have to provide an input_shape to the first layer. In your case this is
tf.keras.layers.Bidirectional() and not
Two alternatives are:
- First call your model with actual data
- Call model.build(input_shape) before calling model.compile()
Within exercise on generic composition it it stated that: "a return type of Car means that addCAI() and func addTBE() could return any kind of Car. Different calls to the function could return instances of different Car-conforming types. That means that a hypothetical variant addTBE() function could decide whether to add cold air intake twice. This sample implementation would either return a ColdAirIntake or a ColdAirIntake, based on a Bool.random(). This is a flexible approach, but it may or may not be what you want. Right now, a caller of this function must account for the possibility that addTBE() might return items with different options from one call to the next". However when run the function addTBE() returns all the time the same rusult. Versus code stated in book, there was error, so I changed part of one line as commented out below, however still the same output. If you can advice how to get different output from function using if Bool.random() within generic struct....
ANSWERAnswered 2022-Jan-15 at 18:54
The reason is the lines where you say:
I am trying to implement this code with using kerastuneR in order to make hyperparameter tuning....
ANSWERAnswered 2022-Jan-14 at 20:40
The error is giving you the key to solve the problem. You need to match the names of the keys produced by
fit_tuner with the ones provided to the
RandomSearch function. Try substituting 'val_accuracy' for 'val_acc' in the
No vulnerabilities reported
You can use Tuner like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Tuner component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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