AXES | zabbix管理平台-Django - AXES1 | Application Framework library

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:

Suppose I want to plot a histogram of the same data twice:

The figure below is a conceptual diagram used by Michael Clark, https://m-clark.github.io/docs/lord/index.html to explain Lord's Paradox and related phenomena in regression.

My question is framed in this context and using ggplot2 but it is broader in terms of geometry & graphing.

I would like to reproduce figures like this, but using actual data. I need to know:

• how to draw a new axis at the origin, with a -45 degree angle, corresponding to values of y-x
• how to draw little normal distributions or density diagrams, or other representations of the values y-x projected onto this axis.

My minimal base example uses ggplot2,

I did an app designer GUI with two buttons and axes. The first one (LoadimageButton) is loading the pappers image and I can mark points until I press escape. The second button is printing out the point coordinates (PositionButton).

I have noticed that after pressing the two buttons I can move points in the axes and change their positions or delete them. The issue is that when I press the delete (in the context menu) I get this error after pressing the PositionButton:

I would like to extract the unit of measurement (decimal degrees, metres, feet, etc.) from a spatial object in R. For example, if I have an SF data frame that uses the WGS84 co-ordinate reference system (EPSG:4326), I would like to be able to determine that the co-ordinates are specified in decimal degrees. Similarly, I'd like to be able to determine that UTM co-ordinates (e.g. EPSG:32615) are specified in metres.

I have tried using the st_crs() function from the sf package, which returns the co-ordinate reference system in well-known text format. However, I'm struggling to be certain that a regex that extracts the unit of measurement from that well-known text will operate reliably for a wide range of co-ordinate systems.

Is there an existing function that returns the measurement unit for a spatial object?

For example, the following code produces an SF data frame that uses the WGS84 co-ordinate system:

Without using ggplot2 or other plotting libraries, I would need to draw circles around a polygon/star chart vertices, i.e. each circle with a radius equal to the respective polygon radius. You can see an example here:

I have a figure created with facet_wrap visualizing the estimated density of many groups. Some of the groups have a much smaller variance than others. This leads to the x axis not being readable for some panels. Minimum reproducable example:

How can I make the lines for the x- and y-axes thicker in Julia Plots? Is there a simple way to achieve this?

MWE:

I am relatively new to tkinter (and OOP), and am trying to make a gui with a second window for preferences. If I close them in reverse order there are no issues, but I am trying to make them able to be closed out of order (so that closing the main window closes the subwindow).

I have tried binding a simple function that closes the window, if it exists, upon destruction of the parent, although it seems inconsistent. Sometimes it will close the subwindow, sometimes it freezes and I have to close the kernel. I am unsure as to the cause of the freezing, as it seems to happen after the closing of the subwindow. As a quick note in the full code I'm using tkmacosx to change the background of the button when the mouse hovers over it.

Here is a subset of my code for a working example, there are likely other issues as well. There are a few additional things from my testing (such as binding destroying the subwindow to the return key and printing within the function)