affine | Affine transformation matrices
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kandi X-RAY | affine Summary
Affine transformation matrices
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affine Key Features
affine Examples and Code Snippets
def matrices_to_flat_transforms(transform_matrices):
"""Converts affine matrices to `tf.contrib.image` projective transforms.
Note that we expect matrices that map output coordinates to input coordinates.
To convert forward transformation matr
def flat_transforms_to_matrices(transforms):
"""Converts `tf.contrib.image` projective transforms to affine matrices.
Note that the output matrices map output coordinates to input coordinates. For
the forward transformation matrix, call `tf.li
def decrypt_message(key: int, message: str) -> str:
"""
>>> decrypt_message(4545, 'VL}p MM{I}p~{HL}Gp{vp pFsH}pxMpyxIx JHL O}F{~pvuOvF{FuF'
... '{xIp~{HL}Gi')
'The affine cipher is a type of monoalpha
Community Discussions
Trending Discussions on affine
QUESTION
I have source (src
) image(s) I wish to align to a destination (dst
) image using an Affine Transformation whilst retaining the full extent of both images during alignment (even the non-overlapping areas).
I am already able to calculate the Affine Transformation rotation and offset matrix, which I feed to scipy.ndimage.interpolate.affine_transform
to recover the dst
-aligned src
image.
The problem is that, when the images are not fuly overlapping, the resultant image is cropped to only the common footprint of the two images. What I need is the full extent of both images, placed on the same pixel coordinate system. This question is almost a duplicate of this one - and the excellent answer and repository there provides this functionality for OpenCV transformations. I unfortunately need this for scipy
's implementation.
Much too late, after repeatedly hitting a brick wall trying to translate the above question's answer to scipy
, I came across this issue and subsequently followed to this question. The latter question did give some insight into the wonderful world of scipy
's affine transformation, but I have as yet been unable to crack my particular needs.
The transformations from src
to dst
can have translations and rotation. I can get translations only working (an example is shown below) and I can get rotations only working (largely hacking around the below and taking inspiration from the use of the reshape
argument in scipy.ndimage.interpolation.rotate
). However, I am getting thoroughly lost combining the two. I have tried to calculate what should be the correct offset
(see this question's answers again), but I can't get it working in all scenarios.
Translation-only working example of padded affine transformation, which follows largely this repo, explained in this answer:
...ANSWER
Answered 2022-Mar-22 at 16:44If you have two images that are similar (or the same) and you want to align them, you can do it using both functions rotate and shift :
QUESTION
Given 3D MRI scans A
, B
, and C
I want to perform an affine (co)registration of B
onto A
, take the transformation affine matrix of the registration and apply it on C
.
My problem is that the affine matrix of the registration transform has the wrong signs. Maybe due to wrong orientation?
The TransformParameters
contain 12 values of which the first 9 are the rotation matrix in row-major order and the last 3 are the translation values.
ANSWER
Answered 2022-Mar-11 at 19:38Taking a look at this diff, you might be more interested in the old way of doing it. It directly constructs an ITK transform from 4x4 matrix.
But beware, I think there is a bug somewhere in this code. I added this recently and it decreased test accuracy, which makes me believe there is a bug somewhere in there.
QUESTION
I'm currently attempting to create a first-person space flight camera.
First, allow me to define what I mean by that.
Notice that I am currently using Row-Major matrices in my math library (meaning, the basis vectors in my 4x4 matrices are laid out in rows, and the affine translation part is in the fourth row). Hopefully this helps clarify the order in which I multiply my matrices.
What I have so Far
So far, I have successfully implemented a simple first-person camera view. The code for this is as follows:
...ANSWER
Answered 2022-Mar-02 at 23:15The problem is that two numbers, pitch and yaw, provide insufficient degrees of freedom to represent consistent free rotation behavior in space without any “horizon”. Two numbers can represent a look-direction vector but they cannot represent the third component of camera orientation, called roll (rotation about the “depth” axis of the screen). As a consequence, no matter how you implement the controls, you will find that in some orientations the camera rolls strangely, because the effect of trying to do the math with this information is that every frame the roll is picked/reconstructed based on the pitch and yaw.
The minimal solution to this is to add a roll component to your camera state. However, this approach (“Euler angles”) is both tricky to compute with and has numerical stability issues (“gimbal lock”).
Instead, you should represent your camera/player orientation as a quaternion, a mathematical structure that is good for representing arbitrary rotations. Quaternions are used somewhat like rotation matrices, but have fewer components; you'll multiply quaternions by quaternions to apply player input, and convert quaternions to matrices to render with.
It is very common for general purpose game engines to use quaternions for describing objects' rotations. I haven't personally written quaternion camera code (yet!) but I'm sure the internet contains many examples and longer explanations you can work from.
QUESTION
I'm having an issue with a svg file that renders differently on different OS. It even looks different in different editors. (Never mind the size difference below)
MacOS Safari:
Windows FileExplorer:
Linux Chrome:
I didn't create it myself. It was created on a Windows computer, in Inkscape it seems.
I wonder why it looks different? Is it possible to make it look the same, or does it need be recreated?
Here is the svg:
...ANSWER
Answered 2022-Mar-10 at 18:34Your screenshots indicate, that your font (Wide Latin) is installed locally on your windows desktop but not available on other systems.
You might embed the font in your svg file using a converting tool like transfonter:
QUESTION
I recently started using the stars R package. I'm struggling with reassigning NA values to "Unknown". I found a potential solution here, but it doesn't seem to work on NAs. Any suggestions to fix this issue are greatly appreciated. for some reason SO doesn't like huge chunks of code without adding more information, so i'm adding some random text at the bottom.
Here's the code that I used:
...ANSWER
Answered 2022-Mar-09 at 21:24Okay actually it is very simple. Kind of cumbersome but it works like this:
QUESTION
I'm trying to reshape an image after reshaping it, I'm facing problems when it comes to the saving method. Here's the code I'm trying to run:
...ANSWER
Answered 2022-Jan-13 at 13:26You are trying to save a numpy
array, whereas the nib.save
expects a SpatialImage
object.
You should convert the numpy
array to a SpatialImage
:
QUESTION
I have this very simple code:
...ANSWER
Answered 2022-Jan-05 at 08:42I finaly have done the trick using theses lines of code:
QUESTION
I am doing single-voxel simulations on python to generate simulated signals with added noise. Then, I want to convert the resulting numpy array, with the following shape (100, 100) into a nifti file.
Rows represent one simulated signal under different conditions of noise and tensor rotation. Each column represents the correspondent signal intensity for that voxel under those conditions when measured with a specific sampling scheme (100 different directions).
[DWIs array]
I am to save this matrix into a nifti file with the following format (10, 10, 1, 100).
[Desired shape]
I don’t know how to properly allocate the numpy array (DWIs.shape = (100,100)) to the format I desire (10, 10, 1, 100):
...ANSWER
Answered 2021-Dec-18 at 07:02In NumPy you do not need to "allocate" data arrays.
Suppose you have a 100x100 converted_array
. That is
QUESTION
I'm attempting to show the decomposition of an affine matrix with sympy as shown in the following stackexchange post:
https://math.stackexchange.com/questions/612006/decomposing-an-affine-transformation
I've setup two matrices A_params
and A_matrix
, where the former represents
the raw matrix values and the latter is the matrix constructed from its
underlying parameters.
ANSWER
Answered 2021-Dec-16 at 15:47After discussion with a colleague, it turns out I made a simple error in the code. I swapped sin and cos terms. Fixing this results in the correct reconstruction of the matrix when using @Stéphane Laurent's decomposition:
QUESTION
Context: Convert an .iges
to .vtk
.
I have the following equation Ax^2+Bxy+Cy^2+Dx+Ey+F=0
representing a conic section.
The parameters A~F
are given. I want to find points on the conic section, so that I can connect them with lines, and make a mesh.
The reason I need the points instead of just using matplotlib Ellipse
is because I'm creating a mesh not a plot.
It is in 3 dimension space, but I first get points on xy plane, and use affine transformation to send it to 3 dim.
Question: How do I find points given an implicit equation?
ANSWER
Answered 2021-Dec-02 at 21:42To avoid spending too much time on this, I wrote some code that seems to handle general ellipses. It can be expanded for other conics, depending on what is needed. The code takes in the coefficients of a general quadratic equation of an ellipse and a number of desired points to be generated on the ellipse and generates a set of points on the ellipse.
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