lena | Lena is an architectural framework for data analysis | Data Visualization library
kandi X-RAY | lena Summary
kandi X-RAY | lena Summary
Lena is an architectural framework for data analysis. It is written in Python and works with Python versions 2, 3 and PyPy. For more information on the framework and its installation see the documentation at
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Top functions reviewed by kandi - BETA
- Run a flow
- Get the data context context
- Check if value has context
- Recursively traverse nested dicts
- Run the workflow
- Convert value to type fields
- Create a tree from the given flow tree
- Main function for the copy buffer
- Generate a mesh of a mesh
- Gets the appropriate type for the given sequence
- Return True if obj is a fill - compute element
- Return the angle between two vectors
- Set theta
- Compute the scalar projection of the vector
- Set phi
- Random variates
- Rotate the vector
- Fills the value into the given element
- Make a context dictionary
- This is the main function for reading data from a file
- Run the given flow
- Fill the context with val
- Generate a mesh
- Plot data
- Get all entries from staff_t object
- Run the pipeline
- Fill the buffer with the given value
lena Key Features
lena Examples and Code Snippets
Community Discussions
Trending Discussions on lena
QUESTION
Today I learned a new API, but met a trouble. What's the return value of .max()?
I haven't seen this function until today, can anyone could tell me something?
...ANSWER
Answered 2021-Jun-14 at 04:52Here's an example with code. Suppose we use this very basic image. It is a 3 x 3
BGR
matrix. The first element (pixel), from top left to bottom right, is pure green, so its value in BGR
format is: [0, 255, 0]
. The fifth element is a kind of dark red, but not pure. Its BGR
value is [0, 0, 200]
. The last element is a very dark blue, with value [150, 0, 0]
. So we have nice colors in the diagonal while all remaining pixels are black, with a value of [0, 0, 0]
. You can see it in this (enlarged for displaying purposes) image:
Let's read it and print its maximum value:
QUESTION
I am trying to blur of highest variance point from the image. I wrote code below. 1st part finds the variance of the image. I checked the resultant variance of an image and it is correct. (I used Lena's image) In 2nd part, I find the highest variance coordinates and send to this Function which finds gaussian blur. When I execute this code, it throws "C:\Tmp\blur_highest_variance.py", line 66, in sigma=15) numpy.core._exceptions.UFuncTypeError: Cannot cast ufunc 'subtract' output from dtype('float64') to dtype('uint8') with casting rule 'same_kind'
I tried a few conversions between types but no avail. Can you show me some direction?
ANSWER
Answered 2021-Jun-10 at 18:48The error message tells us the line and the reason for the error:
Traceback (most recent call last):
File "C:\Tmp\blur_highest_variance.py", line 66, in sigma=15)
numpy.core._exceptions.UFuncTypeError: Cannot cast ufunc 'subtract' output from dtype('float64') to dtype('uint8') with casting rule 'same_kind'
It is more simple to debug the code using intermediate variables:
For example, use an intermediate named gmask
:
QUESTION
When I used ImageMagick-Q16, everything was solved. I was completely wrong.
To analyze images from anime shows., I would like to display the magnitude values obtained by the FFT.; ImageMagick's convert INPUT -fft OUTPUT
worked well, but is unwieldy on Windows because it requires FFTW.
Therefore, I would like to use OpenCV to get the exact same FFT in Python as ImageMagick. Thank you very much for your help.
ANSWER
Answered 2021-Jun-10 at 03:02QUESTION
Can any one suggest me from where I can freely download the standard input dataset for the MJPEG codec (encoder and decoder).
I need this mentioned inputs for testing my codec.
For example: Lena, Airplane, and Baboon etc
...ANSWER
Answered 2021-Jun-02 at 13:10QUESTION
I have a binary image in black and white, I created using opencv I would like to convert black pixels on this image to red, how can I achieve this?
...ANSWER
Answered 2021-May-27 at 00:16You can do that in Python/OpenCV by converting your blackAndWhiteImage to 3 channels, then use Numpy to change the color using the single channel blackAndWhiteImage as a mask
QUESTION
it is my code and I'm trying to edge detection using the sobel method. But I'm getting neither error nor image.If I have a mistake, can you explain where it is?
...ANSWER
Answered 2021-May-23 at 07:22You have an error in your code.
Try to use cv2.filter2D() instead of your for loop.
QUESTION
So I'm trying to make a program that has a typing animation, Here is my reproducible example :
...ANSWER
Answered 2021-May-21 at 15:14First of all, please make descriptive variable names. Calling a variable x
will not help others understand what they stand for.
Secondly, the way you used root.after()
is not how it works. This piece of code should be in a function, which should have as the second parameter.
Finally, I removed the message variable because we can just increment the index value by 1.
Here is the code:
QUESTION
All I'm trying to do is convert the box score from an NBA game into a pandas dataframe. Unfortunately, my output is a bit odd from a player names stand point. I am using the following code...
...ANSWER
Answered 2021-May-13 at 06:27We can remove the first name using regex like this,
QUESTION
I'm working on a project right now and i set a media query for when the screen is 768px it transforms into a mobile layout. Unfortunately I am having an issue with the activities section of my page. When the media query kicks in all of the cards for that section are supposed to be displayed in a flex with the direction being a column. Instead all of the cards just mash up into each other and overlap causing issues with the footer as well.
This is how that section of HTML code looks like.
...ANSWER
Answered 2021-Apr-21 at 00:47Trying changing your max-height from 600px to 100% in the .grid-container and tell us if that's the result that you're looking for:
QUESTION
I wrote a very simple C++ function in VS2019 Community Edition and I have a question in corresponding disassembly.
Function:
...ANSWER
Answered 2021-Apr-10 at 08:36This is MSVC debug mode; it reserves extra space and poisons it with 0xCC
(with rep stosd
aka memset in a can, hence the mov rdi,rsp
to set the destination) to help detect out-of-bounds access errors. (Even though none of the locals have their address taken and none are arrays...)
It's a surprising amount of extra stack space; I don't know how MSVC chooses how much to reserve. In Release mode (-O2
optimization https://godbolt.org/z/GY7xTYWKq), it of course doesn't touch the stack at all.
Debug mode must be adding some extra options that aren't default for MSVC's command line, because I can't reproduce this code-gen on https://godbolt.org/z/nGo9516b7 with MSVC2015 19.10 or 19.28. I just get sub rsp, 40
after spilling the incoming register args to the shadow space, and not even setting up RBP as a frame pointer. (I guess because it's a leaf function.)
lea rbp,[rsp+20h]
seems to be setting up RBP as a presumably frame pointer, but it's not point at the saved RBP right below the return address. With some code showing how it uses it, maybe we could figure that out. (Look at its asm output, not disassembly, so you can get symbolic names for local vars).
And BTW, the optimized asm for the loops is much more readable if you want to actually see how the loop logic works.
Your code is full of reloads of the pointers from the stack, and movsxd
sign-extension because you used signed integers as array indexes that weren't pointer-width, and the compiler didn't optimize into pointer-increments or at least into 64-bit integers. (Signed-overflow being UB allows this optimization.)
Much of How to remove "noise" from GCC/clang assembly output? applies in terms of writing functions that are interesting to look at when optimized.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install lena
You can use lena like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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