snooker

Edit 2: Updated to take care of the problems from the dput output.

I don't know why the dput output is not working, so here is a roundabout way of sharing the data.

A simple zip file of the data can be downloaded from here: link to zip file

The following code should then represent the data I was trying to share. Note that you will need to replace the path name for the downloaded zip file, and that the parse_file function will create a temporary directory:

I am trying to create following table.sample of table

My Code

I have a raw data as below

I'm trying to make some simple pool game in java script. I have made it but I do not love way of checking if two balls will collide in next frame. I would like to have more easier way to calculate coordinates of balls when collision occurs. I found lot of answers base on collision kinematics, how to handle velocities and directions after collision, but no calculating a position when collision occurs.

As you can see in sample diagram, gold ball is moving slower than a blue ball, and with distance that each ball will have to move on next frame will not be considered as collision. But, as you can see, they should collide (dashed lines).

In that cause I have divided each movement into sectors and calculating if distance between the points is equal or smaller than ball diameter, which is slowing down process when many balls (like in snooker) have to be calculated in each frame, plus that way is not always 100% accurate and balls can go in inaccurate angles after hit (not a big difference, but important in snooker).

Is there any easier way to calculate those (XAC,YAC) and (XBC,YBC) values with knowing start positions and velocities of each ball without dividing ball paths into sectors and calculating many times to find a proper distance?

I am attempting to scrape sports schedule from multiple links on a site. The URL's are being found and printed correctly, but only data from the last scraped URL is being outputted to console and text file.

My code is below:

I want to define a coordinate system projected onto some planar surface within the image. I just need some hints and ideas for how to implement this, not necessarily code, but everything is appreciated! If code is provided, it would be preferred in OpenCV with Python as language.

Example: I have an image of a table from some angles. I have taken N calibration images using a checkerboard pattern which were placed on the tabletop. We can image it being a flat snooker table. I have computed intrinsic/extrinsic calibration matrices, a homography matrix, i can project images onto my tabletop surface - all good. However now i want to create a coordinate system on the table top. If i know the dimensions of the tabletop to be 1 meter by 2 meters, I would like a function where i can say: Give me the 2d pixel coordinates in the image which correspond to the point (x=0.75 meters, y=1.65 meters) on the tabletop surface. I would like the origin to begin in the top left of the tabletop, but that should simply be a matter of translation. How can i even make this coordinate system and the corresponding function to "use" it?

I have come up with two potential approaches, but both seem very ineffective and i am convinced a more effective and robust method must exist.

1: From my calibration process, I have N different images of a calibration pattern placed on the tabletop. This gives me N local coordinate systems, one for each calibration pattern. Since each calibration pattern is left on the table top, the x- and y-axes will always be in the same plane. Using this OpenCV guide i can draw the axes which follow the planar surface of the tabletop, each point is matched to be the size of a checkerboard square, so I have a working metric conversion meters-to-pixels. The big problem is that if the checkerboard edges are not parallel to the table edges, then my coordinate system becomes misaligned. Another problem is that by having N small coordinate systems, I have to choose an arbitrary one, and then manually finding its corresponding translation to the top-left tabletop position AND do rotation around origo to re-align the axes. This makes the solution very manual, and difficult to make dynamical. Ultimately it would be nice to just define the 4 manually identified table edges in pixel values, and then whatever derived values are needed, such as homography matrix, rotation matrix, translation matrix etc.

2: I can generate an image of a coordinate grid and then project this image-grid onto my table-top image. The technique would be something similar to this. Then i would have augmented my original table-top image to contain a grid which has been transformed correctly (i.e. grid coordinate squares closer to the camera are larger than grid coordinate squares further away). This however does not make it possible for me to extract coordinates from the drawn grid. If instead of an image, i could project a grid, then that would be a very simple solution. As far as i can see on OpenCV documentation, this is not possible.

I am trying achieve the above design but using Frame Layout the blue image is not showing above the white background. Where is the mistake, please help?

I am learning Blazor having come from a WinForm UWP background. I have a list of Game:

So I made a script for a pool/snooker business and i have a page with the buttons which represents the tables. The buttons are as default green and when I press on them I want the to turn red and when pressed again to return to the default colour. If you can help me i will be grateful. Thank you very much!