mx3 | sample project showcasing/collecting cross platform | Application Framework library

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I want to implement the following routine without using loops, just using Numpy functions or ndarray methods. Here is the code:

I want to calculate the camera calibration parameters from the picture coordinates and object coordinates of some coded markers.

So a bit of context, i was trying to make a code which reads in the number of jobs and then the jobs themselves goes something like this 4 1 2 3 4

Heres the thing if i enter the number of jobs as 4 then enter 3 jobs, then for some reason it reads in the third job again .

is there any way to check and raise an error if this happens? i would compare two values to check if they were the same, but two values can be same.

also i would be using a file lets say file.txt file.txt would have the number of jobs and jobs in the format 4 1 2 3 4 and i would use ./mx3 < file.txt where mx3 is the program compiled using gcc c99

Let's say I have a mx3 2D array, what I want is:

1. First sort the array according to its last column (the column indexed 2).
2. Find all the array slices whose values in the last column are the same, sort each array slice according to the column in the middle.
3. Find all the array slices in which the two values in the last two columns are the same among rows, sort each array slice according to the first column.

An example of this sorting is like

Below is the solution I came up with, which essentially implements the quick-sort algorithm:

I have an mx3 array that is used to create a 3d model. Is there is a fast way to extract all the points that belong to a given plane using numpy or other python functions? The plane will take the Ax+By+Cz+D=0 form. I'm currently looping through all the points in the array to find the points that satisfy this equation.

I have turned a double for loop into a single for loop using vectorization. I would like to now get rid of the last loop.

I want to slice an Nx3 array of coordinates and calculate distances between the sliced portion and the remaining portion without using a for loop.

(1) the slice is always 3x3.

(2) the slice is variable i.e., Mx3 where M is always significantly smaller than N

Vectorizing the interaction of 1 row of the slice interacting with the remainder is straightforward. However, I am stuck using a for loop to do (in the case of the slice of size 3) 3 loops, to calculate all distances.

The Nx3 array is atom coordinates, the slice is all atoms in a specific molecule. I want to calculate the energy of a given molecule interacting with the rest of the system. The first step is calculating the distances between each atom in the molecule, with all other atoms. The second part is to use those distances in a function to calculate energy, and that is outside the scope of this question.

Here is what I have for a working minimal example (I have vectorized the inner loop, but, need to (would really like to...) vectorize the outer loop. That loop won't always be of only size 3, and python is slow at for loops.

I have a set of points stored in a variable called pts, which is a Mx3 matrix.

Where pts(:,1) are the x coordinates on the image, pts(:,2) are the y coordinates on the image, and pts(:,3) are the probabilities.

How can I visualize the points on the image as a heatmap. Points with higher probabilities shown in dense red color. Similar to the image attached.

Any help would be much appreciated!

The point set A is a Nx3 matrix, and from two point sets B and C with the same size of Mx3 we could get the lines BC betwen them. Now I want to compute the distance from each point in A to each line in BC. B is Mx3 and C is Mx3, then the lines are from the points with correspoinding rows, so BC is a Mx3 matrix. The basic method is computed as follows: