ShareX | ShareX is a free and open source program that lets you capture or record any area of your screen and | Image Editing library

 by   ShareX C# Version: v15.0.0 License: GPL-3.0

kandi X-RAY | ShareX Summary

kandi X-RAY | ShareX Summary

ShareX is a C# library typically used in Telecommunications, Media, Media, Entertainment, Media, Image Editing, Electron applications. ShareX has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has medium support. You can download it from GitHub.

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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              ShareX has a medium active ecosystem.
              It has 24525 star(s) with 2886 fork(s). There are 529 watchers for this library.
              There were 1 major release(s) in the last 12 months.
              There are 546 open issues and 5301 have been closed. On average issues are closed in 270 days. There are 9 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ShareX is v15.0.0

            kandi-Quality Quality

              ShareX has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              ShareX is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              ShareX releases are available to install and integrate.
              ShareX saves you 49 person hours of effort in developing the same functionality from scratch.
              It has 129 lines of code, 0 functions and 762 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            ShareX Key Features

            No Key Features are available at this moment for ShareX.

            ShareX Examples and Code Snippets

            No Code Snippets are available at this moment for ShareX.

            Community Discussions

            QUESTION

            Padding scipy affine_transform output to show non-overlapping regions of transformed images
            Asked 2022-Mar-28 at 11:54

            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:

            ...

            ANSWER

            Answered 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 :

            Source https://stackoverflow.com/questions/71516584

            QUESTION

            How to import Skimage to segment an image with watershed?
            Asked 2022-Mar-14 at 01:01

            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'

            Source code : https://scikit-image.org/docs/0.12.x/auto_examples/xx_applications/plot_coins_segmentation.html

            ...

            ANSWER

            Answered 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:

            https://scikit-image.org/docs/stable/auto_examples/

            Concretely for your code, you need to update the import to from skimage.segmentation import watershed.

            Source https://stackoverflow.com/questions/71461134

            QUESTION

            Resize axes of top and right joint marginal plots to match central plot with matplotlib
            Asked 2022-Feb-15 at 01:17

            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:

            ...

            ANSWER

            Answered 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.

            Source https://stackoverflow.com/questions/71119762

            QUESTION

            python - matplot lib sub-plot grid: where to insert row/column arguments
            Asked 2022-Jan-30 at 08:00

            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:

            ...

            ANSWER

            Answered 2022-Jan-24 at 07:45

            You should create the figure first:

            Source https://stackoverflow.com/questions/70830018

            QUESTION

            Plotly: shareX between side-by-side plots
            Asked 2022-Jan-25 at 09:03

            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:

            ...

            ANSWER

            Answered 2022-Jan-25 at 09:02

            We can use matches in R just as we can in python.

            Run schema() and navigate:

            object ► layout ► layoutAttributes ► xaxis ► matches

            for more info.

            This keeps all (x&y) axes synced:

            Source https://stackoverflow.com/questions/70837051

            QUESTION

            Matplotlib share x-axis between imshow and plot
            Asked 2022-Jan-04 at 21:52

            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:

            ...

            ANSWER

            Answered 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:

            Source https://stackoverflow.com/questions/70583705

            QUESTION

            Matplotlib: orthographic projection of 3D data (in 2D plot)
            Asked 2022-Jan-02 at 17:29

            I'm trying to plot 3D data in 2D using orthographic projection. Here is partially what I'm looking for:

            ...

            ANSWER

            Answered 2022-Jan-02 at 16:34

            You can use a common xlim, ylim for your subplots and set your equal ratio with ax.set_aspect(aspect='equal', adjustable='datalim'): See full code below:

            Source https://stackoverflow.com/questions/70553682

            QUESTION

            Why does merging two bar chart subplots into one change the axis and how can I fix this?
            Asked 2021-Dec-13 at 00:00

            I have two dataframes:

            ...

            ANSWER

            Answered 2021-Dec-12 at 20:57

            You can reindex both dataframes to the same index:

            Source https://stackoverflow.com/questions/70326640

            QUESTION

            Error Bars not displaying Seaborn Relplot
            Asked 2021-Nov-18 at 23:13

            Using this code I created a seaborn plot to visualize multiple variables in a long format dataset.

            ...

            ANSWER

            Answered 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.
            • Alternatively, seaborn.lineplot can be mapped onto the seaborn.relplot. By not specifying hue the API will create the error bars
              • linestyle='' is specified so the mean line is not drawn
            • Tested in python 3.8.12, pandas 1.3.4, matplotlib 3.4.3, seaborn 0.11.2

            Source https://stackoverflow.com/questions/70027573

            QUESTION

            How to make labels appear when clicking on a step plot subplot point in matplotlib (or possibly plotly)?
            Asked 2021-Nov-06 at 10:09

            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:

            ...

            ANSWER

            Answered 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:

            Source https://stackoverflow.com/questions/69730420

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

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            You can download it from GitHub.

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