imaginary | ready HTTP microservice for high-level image processing | Computer Vision library
kandi X-RAY | imaginary Summary
kandi X-RAY | imaginary Summary
Fast HTTP microservice written in Go for high-level image processing backed by bimg and libvips. imaginary can be used as private or public HTTP service for massive image processing with first-class support for Docker & Fly.io. It's almost dependency-free and only uses net/http native package without additional abstractions for better performance. Supports multiple image operations exposed as a simple HTTP API, with additional optional features such as API token authorization, URL signature protection, HTTP traffic throttle strategy and CORS support for web clients. imaginary can read images from HTTP POST payloads, server local path or remote HTTP servers, supporting JPEG, PNG, WEBP, HEIF, and optionally TIFF, PDF, GIF and SVG formats if libvips@8.3+ is compiled with proper library bindings. imaginary is able to output images as JPEG, PNG and WEBP formats, including transparent conversion across them. imaginary also optionally supports image placeholder fallback mechanism in case of image processing error or server error of any nature, therefore an image will be always returned by the server in terms of HTTP response body and content MIME type, even in case of error, matching the expected image size and format transparently. imaginary uses internally libvips, a powerful and efficient library written in C for fast image processing which requires a low memory footprint and it's typically 4x faster than using the quickest ImageMagick and GraphicsMagick settings or Go native image package, and in some cases it's even 8x faster processing JPEG images. To get started, take a look the installation steps, usage cases and API docs.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of imaginary
imaginary Key Features
imaginary Examples and Code Snippets
def eigh_tridiagonal(alpha,
beta,
eigvals_only=True,
select='a',
select_range=None,
tol=None,
name=None):
"""Computes the
def where_v2(condition, x=None, y=None, name=None):
"""Returns the indices of non-zero elements, or multiplexes `x` and `y`.
This operation has two modes:
1. **Return the indices of non-zero elements** - When only
`condition` is provided
def conj(x, name=None):
r"""Returns the complex conjugate of a complex number.
Given a tensor `x` of complex numbers, this operation returns a tensor of
complex numbers that are the complex conjugate of each element in `x`. The
complex numbe
Community Discussions
Trending Discussions on imaginary
QUESTION
How to manage access to shared resources using Project Reactor?
Given an imaginary critical component that can execute only operation at the time (file store, expensive remote service, etc), how could one orchestrate in reactive manner access to this component if there are multiple points of access to this component (multiple API methods, subscribers...)? If the resource is free to execute the operation it should execute it right away, if some other operation is already in progress, add my operation to the queue and complete my Mono once my operation is completed.
My idea is to add tasks to the flux queue which executes tasks one by one and return a Mono which will be complete once the task in the queue is completed, without blocking.
...ANSWER
Answered 2022-Feb-23 at 10:26this looks like a simplified version of what the reactor-pool does, in essence. have you considered using that with eg. a maximum size of 1?
https://github.com/reactor/reactor-pool/
https://projectreactor.io/docs/pool/0.2.7/api/reactor/pool/Pool.html
The pool is probably overkill, because it has the overhead of having to deal with multiple resources on top of multiple competing borrowers like in your case, but maybe it could provide some inspiration for you to go further.
QUESTION
In this code:
...ANSWER
Answered 2021-Dec-17 at 22:15As stated in this answer, by creating a new table using the result of table.unpack:
QUESTION
I am using Python to perform a Fast Fourier Transform on some data. I then need to extract the locations of the peaks in the transform in the form of the x-values. Right now I am using Scipy's fft tool to perform the transform, which seems to be working. However, when i use Scipy's find_peaks I only get the y-values, not the x-position that I need. I also get the warning:
...ANSWER
Answered 2021-Nov-29 at 18:16There seem to be two points of confusion here:
- What find_peaks is returning.
- How to interpret complex values that the FFT is returning.
I will answer them separately.
Point #1find_peaks returns the indices in "a" that correspond to peaks, so I believe they ARE values you seek, however you must plot them differently. You can see the first example from the documentation here. But basically "peaks" is the index, or x value, and a[peaks] will be the y value. So to plot all your frequencies, and mark the peaks you could do:
QUESTION
I'm working on a generative art generator library for python called samila based on matplotlib scatter plot. It gets two functions and maps a square space into a arbitrary shape. We want the generated shape to be the same for given functions and given random seed in order to be reproducible.
Recently we were working on functions with complex values and notified that scatter plot output is not the same in different versions on matplotlib.
I wanted to know why is it like this and what's the problem with matplotlib. If this is a bug it could be horrible for matplotlib to plot different figures for a specific code in its different versions.
So if you run bellow code using matplotlib==3.4.3
:
ANSWER
Answered 2021-Oct-28 at 14:21The problem was that matplotlib changes its plotting strategy from 3.0.3
which ignores points with negative radius to 3.4.3
in which they're plotted.
I couldn't find this using compare release notes and it was so confusing for me. Hope there will be an warning for this situation avoiding future issues.
I tested bellow code which is way simpler:
QUESTION
While C++11 standard says this about reinterpreting std::complex
as double
s:
For any pointer to an element of an array of
complex
namedp
and any valid array indexi
,reinterpret_cast(p)[2*i]
is the real part of the complex numberp[i]
, andreinterpret_cast(p)[2*i + 1]
is the imaginary part of the complex numberp[i]
The intent of this requirement is to preserve binary compatibility between the C++ library complex number types and the C language complex number types (and arrays thereof), which have an identical object representation requirement.
Is it true for the backward reinterpreting? I mean is it safe to perform something like this: std::complex *cppComplexArray = reinterpret_cast *>(cDoublesArray)
where cDoublesArray
have a type of double *
and even length 2 * n
? What are potential pitfalls if its length will be odd (2 * n + 1
)?
ANSWER
Answered 2021-Oct-16 at 15:27In practice the backward reinterpreting will probably work most of the time, in view of the strong constraints of the forward reinterpreting impose (see on cppreference, std::complex
, implementation notes).
However, I'm not totally sure that such backward reinterpreting would in always work in theory:
- Let's imagine an absurd and hypothetical implementation of a complex library that would maintain a list of addresses of active complex objects (e.g. for debugging purpose). This (probably static) list would be maintained by the complex constructor and destructor.
- Every complex operation in this library would verify if its operands are in the list.
- While forward reinterpreting would work (the complex objects were well constructed and its parts can be used as doubles), the backward reinterpretation would not work (e.g. despite a compatible layout, you would reinterpret as complex a pair of doubles and if you'd perform any complex operation on them, it would fail since the complex was not properly constructed, i.e. its address is not in the list).
As said, this complex library would probably be a stupid idea. But such a library could be implemented and compliant with the standard specs. This is sufficient to prove that there is no reverse guarantee in theory.
The last point of your question is easier and more obvious to answer, supposing we would have an implementation where the reverse reinterpretation works. The missing last column would lead to an access of a part that is out of bounds. This would therfore lead to UB.
Additional readings: This working paper of the standard committee requests a general convertability feature that would generalize the bahavior of reinterpret_cast
on complex
for other types. It explains the complex case in section 4 and the special handling required from the compiler to make it work if complex is not itself implemented by an array.
QUESTION
I'm making code for an interactive Mandelbrot set display, and I wanted the zoom function to update the image every time it is used. So I'm using Matplotlib event handling to create a custom zoom function.
The zoom function that is already there will pixelate the image as you zoom in, because it zooms in on the same image. My zoom should update the image every time one drags the mouse.
But it doesn't work. Every time I zoom once, the plot doesn't change shape, so the image itself stretches. Zoom again, and it just zooms there on the original picture. The ticks don't even change the entire time. Try it -- here's my code with a picture provided by Trenton McKinney:
...ANSWER
Answered 2021-Sep-06 at 19:10I edited your display_data
function as below:
QUESTION
let's say I have several differential equations in the following form
where the variables in the pointed brackets are complex numbers for example
My question is whether it is possible in the Maxima to write down at first the set of the differential equations in the form mentioned above without evaluation the derivatives, then make the substitutions for the variables in the pointed brackets and after that evaluate the derivatives and separate the real and imaginary parts.
...ANSWER
Answered 2021-Aug-08 at 14:02You can consider this example (it illustrates what Robert Dodier wrote in comments).
QUESTION
Imagine I have a collection of books in Core Data. Each book can have multiple authors. Here's what this imaginary collection of books could look like (it only has one book, just to simplify things):
...ANSWER
Answered 2021-Jul-11 at 12:05The following is an alternative approach, which does not use SUBQUERY, but should ultimately have the same results. I've no idea whether this would in practice be more or less efficient than using SUBQUERY.
Your specific concern is the inefficiency of counting all the matching Authors, rather than just stopping when the first matching Author is found. Bear in mind that there is a lot going on behind the scenes whenever a fetch request is processed. First, CoreData has to parse your predicate and turn it into an equivalent SQLite query, which will look something like this:
QUESTION
Using the StackExchange API, it's possible to find out quite a bit about a user:
...ANSWER
Answered 2021-Jul-09 at 09:45Neither the SE API nor SEDE provide such field. Instead, you can
QUESTION
How can I find the smallest positive real number in a complex vector of size N
by 1 in Eigen3? For example, in this case I'd like to find the value 3.64038
.
ANSWER
Answered 2021-Jun-14 at 14:40One option is to create a logical array and then call Eigen::select
on it. Inspired by https://forum.kde.org/viewtopic.php?f=74&t=91378
In this case:
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