ktop | visualized monitoring dashboard | Monitoring library
kandi X-RAY | ktop Summary
kandi X-RAY | ktop Summary
A visualized monitoring dashboard for Kubernetes.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ktop
ktop Key Features
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QUESTION
For a command like this one on Linux debian-linux 4.19.0-1-amd64 #1 SMP Debian 4.19.12-1 (2018-12-22) x86_64 GNU/Linux with xfce I get :
...ANSWER
Answered 2019-Jul-02 at 11:33If you want to your current shell without this feature
QUESTION
I have a problem with using Tensorflow. I have four images with their corresponding indices. I want to make an image from them. I tried for loops, tf.gather, tf.assign, and so on but all show error. If somebody help me, it would be really appreciated. I explain my question with one small example: We have 4 tensors and their indices from tensor tf.ktop function: (I write like MATLAB for just for simplicity)
a = [1, 2; 5, 6] a_idx = [0, 1; 2, 3]
b = [3, 4; 7, 8] b_idx = [0, 1; 2, 3]
c = [9, 10; 13, 14] c_idx = [0, 1; 2, 3]
d = [11, 12; 15, 16] d_idx = [0, 1; 2, 3]
I am looking for a big image from a, b, c, and d and their indices like:
image = [a b; c d]
image = [1, 2, 3, 4; 5, 6, 7, 8;9 10, 11, 12;13, 14, 15, 16]
In python I have something like:
...ANSWER
Answered 2018-Jun-24 at 11:43In your comments, I suspect you made a tiny error in your desired output, image
.
I interpret that you want is given
QUESTION
I want to show an image in the tablet of Pepper from his camera. I have done the Javascript code to process and show the image in a web view. The problem is that the image showed is strange:
I have written this code based on this example:
...ANSWER
Answered 2017-Sep-14 at 10:43At the end I found the solution. I found another example that it worked for me (the image is greyscale).
This is the algorithm to transform the bytes received form the camera to an image:
QUESTION
Recently, I start learning torch. But, the following question really stumps me. A seq2seq demo is available here, and the definition of model is showed as follow:
...ANSWER
Answered 2017-Jan-06 at 23:03It is hard to say exactly what the error is without having access to your complete script. In any case, I have suggestions regarding the above:
- avoid creating tensors in feval (or any other inner loop). Use buffers that you can resize and reuse to avoid memory allocations.
- don't use torch.cat to concatenate parameters. It allocates memory every time it is called. Instead use
nn.Container():add(enc):add(dec):getParameters()
instead oftorch.cat(enc:getParameters(), dec:getParameters())
.
Hope this helps.
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