I'm trying to make a my main window have a background image. The problem I'm running into is that the background is comprised of 2 separate images. the top image is placed in the center above the bottom image. I can't find any references on how to accomplish this. I'm thinking I might be able to utilize these two methods to do it, but I'm not sure if I'm heading in the right direction or not.
QGraphicsScene.BackgroundLayer
QGraphicsScene.ForegroundLayer
I'm using python3 with pyqt5. Any help pointing me in the right direction would be greatly appreciated. I wasn't able to find much of anything on this so far.
Thanks in advance.
-edit: In case there is confusion, I have to use 2 images because the background is generated from 2 pictures that are scraped from the web during run time. Maybe someone knows of a way to dynamically merge the 2 images together with specific x,y coordinates with a library, then just use the new image as a background?
I figured it out. The easiest way to accomplish what I'm trying to do is to make 2 labels. 1 that covers the entirety of the window, and another that covers the area where the second picture is supposed to go. Then use Pixmap on each label to cast an image to each label. Figure out the x,y offset required to line up the inner image, adjust the label placement, done.
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Looking for a way to be able to find the color data of a pixel(s) on a Canvas. I'm sort of a beginner to coding, just gauging if this is possible/how to go about this. This is for a project I've been working on, and for part of it, it's necessary to compare the color data of a Canvas to an Image. I know how to find the per pixel color data of an Image, but I haven't found anything for a canvas. I'm using a Tkinter Canvas at the moment, but if it's not possible on that library, I'm open to switching to another library. Any ideas? Thanks guys!
Looking for a way to be able to find the color data of a pixel(s) on a Canvas.
Tkinter doesn't provide the ability to do this.
I am making my first software with an HMI.
I'm creating a tool to easily perform contour detection on an image and make small images for each contour that's detected. So far I managed to do all of that. Now I wish to display the small images obtained into my HMI. Currently I stopped after generating and saving the small images on my PC. I thus have them already. I'm now trying to find some way to display them all at once in the tool part of my HMI. The problem is I don't really know where to start to do such.
I'm not asking for a complete working code but just for clues or tips that could help me figure out how I can proceed to display them. I heard about QIcon, could that maybe do it for example ?
To help you understand better my idea, here is a screenshot of my HMI. In red is how I would like to display small images from my computer as a mosaic with some scroll bar to display the next images in case they don't all fit in the space.
Thank you for all the ideas you can give me !!
I am developing an app for Android and i have this issue - after i have taken a picture with the camera, i need to crop it. But the coordinates for the rectangle i have dragged over the capturing area start from the screen's 0,0 coordinates aka touch coordinates do not match actual picture's - if i try to crop the image with these using PIL, i get a partial result.
One possible solution would be to take a partial screenshot with these coordinates and get the cropped picture that way.
I tried to use pyscreenshot, but then i found out that it does not work on Android.
Any ideas how to capture a partial screenshot on Kivy?
Thank you
For possible anyone with the same issue - i did not find any good way to grab a screenshot and crop selected portion out of it. I did, however, solve it this way - i move to a new screen, resize picture to device's screen resolution and from then i can crop it with touch without no issues - i did not have to find a clever way to map screen coordinates with image's. After cropping and saving i resize the image back to a fixed resolution. This is not a elegant solution, but still will serve my purpose.
Thank you anyone who thought along with me.
So I have quite an interesting image segmentation problem. Here, I have scraped instagram photos which are stacked vertically.
see image here(too long to post): https://imgur.com/a/gPr2J
What I am trying to do is quite simple. I just want to extract each post image from the screenshot, and save it to some directory. I am trying to find ways to make this work, like cropping by pixel color at a certain height but none of it is working perfectly.
Any method that would quickly segment this image. Python BTW.
I think you should start with segmenting each post out. Use the gaps between each post (which are always uniform) to segment each post out.
Then approach capturing the image inside the post - breaking this down into 2 different problems will make your algorithm simpler in my opinion.
I have a few ideas, not entirely sure how will they work for you, but thought they might give you some leads to try out:
1) All these instagram images seems to have a "heart" shaped icon just below the image you want to extract. Maybe figuring out detecting the heart shape might be good idea? Once you have found the "heart" you can look for the image just above it. Since it is a UI, my hope is that all the images that you want to extract will be a fixed number of pixels above the "heart". Moreover, they should also have the same height and width, I think.
2) Another possible idea is to find the edges in the image. Again, the images you want to extract seem to have a strong edge with respect to their background (but so does text and other UI elements). However, these edges should ideally have the largest area (which is also mostly fixed) enclosed between them. So, after finding the edges, you can use the find contours in function in opencv and then filter out the contours which have an area greater than a threshold. Have you tried something like this?
Question:
Using graphicsmagick, what is a good way to find the coordinates of a small image inside a bigger image?
Explnation:
To explain further, I have a large screen shot that I am working with and would like to find the pixel coordinates of a known icon that is expected to be found somewhere within the screen shot.
Also, if this is not a good library to be using for this purpose, would love to hear suggestions for alternatives that will preferably be compatible with Python.
Thanks so much!
I use "gm display" to do that.
gm display &
Click on the image. Select Transform, then Crop. Put the cursor at the
top left of the small image. Read the coordinates from the small
information window. Select "dismiss"
Note that this is a manual method, which is OK if you are really "working
with the image" on screen. If you are looking for a batch method, it'll
be a little more complex.