kandi X-RAY | ShareX Summary
kandi X-RAY | ShareX Summary
ShareX is a free and open source program that lets you capture or record any area of your screen and share it with a single press of a key. It also allows uploading images, text or other types of files to many supported destinations you can choose from.
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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
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
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
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.
ANSWERAnswered 2022-Mar-22 at 16:44
If 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 :
I'm trying to use Skimage to segment an image with watershed, but I always get this error. Do you have a solution please?
AttributeError: module 'skimage.morphology' has no attribute 'watershed'
ANSWERAnswered 2022-Mar-14 at 01:01
You are for some reason looking at the old documentation for scikit-image, version 0.12. (See the 0.12.x in the URL that you shared.) You can look at the examples for the latest released version at:
Concretely for your code, you need to update the import to
from skimage.segmentation import watershed.
How do you size the axes of a marginal plot to match the size of a non-square central plot using matplotlib?
In the image, you'll see that the top marginal plot is too wide, even though it shares the x-axis labels.
Context: I'm trying to create a joint plot like in Seaborn, but with a non-square heatmap at center and bar graphs as the marginal plots. JointGrids isn't designed to work with heatmaps (which is okay, on to matplotlib!). Merging a matplotlib heatmap with subplot barplots gets me close, but I find one bargraph's axis is larger than the central heatmap even when I share axes.
Minimum working example:...
ANSWERAnswered 2022-Feb-15 at 01:17
As the heatmap gets a default "equal" aspect ratio, and gets shrunk due to the colorbar, an idea is to manually resize the histograms once everything is created.
I'm trying to display the topic extraction results of an LDA text analysis across several data sets in the form of a matplotlib subplot.
Here's where I'm at:
I think my issue is my unfamiliarity with matplotlib. I have done all my number crunching ahead of time so that I can focus on how to plot the data:...
ANSWERAnswered 2022-Jan-24 at 07:45
You should create the figure first:
I would like to have two side by side plots sharing the same X-axis and the same toolbar. This means that, by zooming in the first plot, the second plot should automatically resize to the same zoomed region.
A way to do that could be to stack the plots one above the other, using
shareX=TRUE, but I need them to be side by side.
In python there seems to be a way to do that, using
fig.update_xaxes(matches='x'). Is there a similar option in R?
Here is a sample code:...
ANSWERAnswered 2022-Jan-25 at 09:02
We can use
matches in R just as we can in python.
schema() and navigate:
object ► layout ► layoutAttributes ► xaxis ► matches
for more info.
This keeps all (x&y) axes synced:
I am trying to plot two imshow and one plot above each other sharing their x-axis. The figure layout is set up using gridspec. Here is a MWE:...
ANSWERAnswered 2022-Jan-04 at 19:44
Constrained_layout was specifically designed with this case in mind. It will work with your gridspec solution above, but more idiomatically:
I'm trying to plot 3D data in 2D using orthographic projection. Here is partially what I'm looking for:...
ANSWERAnswered 2022-Jan-02 at 16:34
You can use a common
ylim for your subplots and set your equal ratio with
See full code below:
I have two dataframes:...
ANSWERAnswered 2021-Dec-12 at 20:57
You can reindex both dataframes to the same index:
Using this code I created a seaborn plot to visualize multiple variables in a long format dataset....
ANSWERAnswered 2021-Nov-18 at 23:13
- Each datapoint is separated by
hue, so there are no error bars because no data is being combined. Remove
hue='Patient ID'to only show the mean line and error bars.
seaborn.lineplotcan be mapped onto the
seaborn.relplot. By not specifying
huethe API will create the error bars
linestyle=''is specified so the mean line is not drawn
- Tested in
I'm using matplotlib to make step graphs based on a dataframe, but I want one of the key/value of the dataframe to appear (
signals_df['Gage']), instead of coordinates as annotation, but I always get the error:
AttributeError: 'Line2D' object has no attribute 'get_offsets' when I click on the first subplot from bottom to top and the annotation does not appear. In fact, I commented out the
annot.set_visible(False)and replaced the
"" of the examples with
val_gage, so that it will look like I want the annotation to appear one by one, when clicking on some point within the subplots.
This is the code in question:
ANSWERAnswered 2021-Nov-04 at 11:07
Without knowing much about the libraries you are using I can see you are creating these annotation objects and then assigning them to a global variable that is re-assigned later and thus you lose the right object to make it visible.
Instead you could keep the annotation objects into a dictionary and try to retrieve them later when you need them based on an object.
I used a list to show you the idea, but you need a dictionary I guess to identify the right objects.
I modified your code a bit and it shows the desired behaviour if you resize the window...I guess you have to find a way to refresh the plot also:
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