transformation-matrix | Javascript isomorphic 2D affine transformations | Machine Learning library

 by   chrvadala JavaScript Version: 2.16.1 License: MIT

kandi X-RAY | transformation-matrix Summary

kandi X-RAY | transformation-matrix Summary

transformation-matrix is a JavaScript library typically used in Artificial Intelligence, Machine Learning, Transformer applications. transformation-matrix has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i transformation-matrix' or download it from GitHub, npm.

Javascript isomorphic 2D affine transformations written in ES6 syntax. Manipulate transformation matrices with this totally tested library!
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            kandi-support Support

              transformation-matrix has a low active ecosystem.
              It has 219 star(s) with 35 fork(s). There are 5 watchers for this library.
              There were 2 major release(s) in the last 12 months.
              There are 2 open issues and 27 have been closed. On average issues are closed in 124 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of transformation-matrix is 2.16.1

            kandi-Quality Quality

              transformation-matrix has 0 bugs and 0 code smells.

            kandi-Security Security

              transformation-matrix has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              transformation-matrix code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              transformation-matrix is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              transformation-matrix releases are available to install and integrate.
              Deployable package is available in npm.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed transformation-matrix and discovered the below as its top functions. This is intended to give you an instant insight into transformation-matrix implemented functionality, and help decide if they suit your requirements.
            • Parses model .
            • Parses an unknown matrices
            • 11 . 7 Parser
            • ECMA - 262 13 .
            • 12 . 1 .
            • ECMA - 262 12
            • 12 . 1
            • Attempt to parse a float number .
            • Attempt to parse a PSSP .
            • Parses the rabbit - down arithmetic
            Get all kandi verified functions for this library.

            transformation-matrix Key Features

            No Key Features are available at this moment for transformation-matrix.

            transformation-matrix Examples and Code Snippets

            Return the transformation matrix .
            pythondot img1Lines of Code : 42dot img1License : Permissive (MIT License)
            copy iconCopy
            def transformation_matrix(velocity: float) -> np.array:
                """
                >>> transformation_matrix(29979245)
                array([[ 1.00503781, -0.10050378,  0.        ,  0.        ],
                       [-0.10050378,  1.00503781,  0.        ,  0.        ],
                  
            Convert a flat transformation matrix to matrices .
            pythondot img2Lines of Code : 30dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            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  

            Community Discussions

            QUESTION

            Programmatical Change of basis for coordinate vectors with different origin of coordinates (python/general maths)
            Asked 2021-Oct-02 at 21:43

            I have a Support Vector Machine that splits my data in two using a decision hyperplane (for visualisation purposes this is a sample dataset with three dimensions), like this: Now I want to perform a change of basis, such that the hyperplane lies flatly on the x/y plane, such that the distance from each sample point to the decision hyperplane is simply their z-coordinate.

            For that, I know that I need to perform a change of basis. The hyperplane of the SVM is given by their coefficient (3d-vector) and intercept (scalar), using (as far as I understand it) the general form for mathematical planes: ax+by+cz=d, with a,b,c being the coordinates of the coefficient and d being the intercept. When plotted as 3d-Vector, the coefficient is a vector orthogonal to the plane (in the image it's the cyan line).

            Now to the change of basis: If there was no intercept, I could just assume the vector that is the coefficient is one vector of my new basis, one other can be a random vector that is on the plane and the third one is simply cross product of both, resulting in three orthogonal vectors that can be the column vectors of the transformation-matrix. The z-function used in the code below comes from simple term rearrangement from the general form of planes: ax+by+cz=d <=> z=(d-ax-by)/c:

            ...

            ANSWER

            Answered 2021-Oct-02 at 21:43

            The problem here is that your plane is an affine space, not a vector space, so you can't use the usual transform matrix formula.

            A coordinate system in affine space is given by an origin point and a basis (put together, they're called an affine frame). For example, if your origin is called O, the coordinates of the point M in the affine frame will be the cooordinates of the OM vector in the affine frame's basis.

            As you can see, the "normal" R^3 space is a special case of affine space where the origin is (0,0,0).

            Once we've determined those, we can use the frame change formulas in affine spaces: if we have two affine frames R = (O, b) and R' = (O', b'), the base change formula for a point M is: M(R') = base_change_matrix_from_b'_to_b * (M(R) - O'(R)) (with O'(R) the coordinates of O' in the coordinate system defined by R).

            In our case, we're trying to go from the frame with an origin at (0,0,0) and the canonical basis, to a frame where the origin is the orthogonal projection of (0,0,0) on the plane and the basis is, for instance, the one described in your initial post.

            Let's implement these steps:

            To begin with, we'll define a Plane class to make our lifes a bit easier:

            Source https://stackoverflow.com/questions/69396507

            QUESTION

            Creating a Matrix Stack for iOS: Resetting Matrix to Identity
            Asked 2021-Aug-18 at 03:11

            I'm working with Apple's Core Graphics framework and attempting to implement a push and pop matrix to isolate and encapsulate changes to the current transformation matrix (ctm) using a stack structure.

            This would be external to Core Graphics' .saveGState() and .restoreGState() and the reason for this is that .saveGState() and .restoreGState() push and pop much more than just the ctm and I'd like to give my API/package users the option of separating style and matrix when pushing and popping.

            The process I'd like to implement is:

            1. pushMatrix() - add ctm to stack.
            2. Do any scaling, translating, rotating, or application of a custom affine transform of the ctm.
            3. popMatrix() - change current ctm back to the last pushed state.

            Here is the code I'm currently using (minus the stack code for brevity):

            ...

            ANSWER

            Answered 2021-Aug-18 at 03:11

            This was a really easy fix, so I'll answer my own question in case others make this mistake as well.

            The context's ctm property is get only. In order to set the ctm using concatenation I was trying:

            Source https://stackoverflow.com/questions/68823400

            QUESTION

            Unity3D & OpenCV using a custom camera (AruCo)
            Asked 2020-Aug-11 at 22:27

            I have been trying to perform AruCo or Marker detection in unity using a customer camera that can provide a texture, this is not a regular camera so you cant use the regular webcamtexture that comes with the package, i have been trying everything that i can imagine but it just dont work for me. I have tested so many things so ill post my code for AruCo and maybe someone can help me fix this, the code dont show any errors but it also doesnt detect anything or at minimum i was expecting the rejected corners to be detected.

            ...

            ANSWER

            Answered 2020-Aug-11 at 22:27

            The problem with the code was that the images were coming as Alpha8 texture and OpenCV works with RGB texture, so when i was converting to RGB the A part was been strip from the image which was pretty much the only content in it.

            The solution was posted on this other thread: Solution to change format from Alpha8 to RGBA texture.

            Source https://stackoverflow.com/questions/63203658

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install transformation-matrix

            You can install using 'npm i transformation-matrix' or download it from GitHub, npm.

            Support

            APIs Basic Operations identity() flipX() flipY() flipOrigin() rotate(angle, [cx], [cy]) rotateDEG(angle, [cx], [cy]) scale(sx, [sy], [cx], [cy]) shear(shx, shy) skew(ax, ay) skewDEG(ax, ay) smoothMatrix(matrix, [precision]) translate(tx, [ty]) inverse(matrix) Calculate fromDefinition(definitionOrArrayOfDefinition) fromObject(object) fromString(string) fromTransformAttribute(transformString) fromTriangles(t1, t2) Validate isAffineMatrix(object) Apply applyToPoint(matrix, point) applyToPoints(matrix, points) Stringify toCSS(matrix) toSVG(matrix) toString(matrix) Compose transform(matrices) compose(matrices) Decompose decomposeTSR(matrix, flipX, flipY)
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            Install
          • npm

            npm i transformation-matrix

          • CLONE
          • HTTPS

            https://github.com/chrvadala/transformation-matrix.git

          • CLI

            gh repo clone chrvadala/transformation-matrix

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            git@github.com:chrvadala/transformation-matrix.git

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