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Tricky image segmentation in Python How to extract only top-level contours?Ĭopyright OpenCV foundation Powered by Askbot version 0. In Python, how can I reduce a list of contours to those of a specified size? Question Tools Follow.
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I am using this code to find contours how can I elemenate some contours depending on their size? First time here? Check out the FAQ! How to extract only top-level contours? Error with Contour functions in OpenCV 2. Which is more efficient, use contourArea or count number of ROI non-zero pixels? Tricky image segmentation in Python. OpenCV Python Tutorial For Beginners 24 - Motion Detection and Tracking Using Opencv Contours Asked: Area of a single pixel object in OpenCV. Another elegant solution would be get a minimum area rect and get width and height from rect's 4 coordinates by calculating distance on your own.īut I'm not sure if you're using it to detect regular shaped contours and not. I can get a list of booleans that identify which contours should be retained, but how can I generate the new list of contours in a simple, single line? I am not sure if this would work for you but you can make use of contourArea method to get contour area and filter out some small contours on a basis of that. But I'm new to Python and can't figure out how to do this efficiently. Now you want to filter unwanted contours right? Ziri's answer is valid, just want to add that there is a way to evaluate "squareness" of a blob, Given a blob, you can calculate the Shape Factor You can use cv::contourArea to obtain A and cv::arcLength to obtain p.I've extracted contours from an image and now want to discard those that don't match a specified size requirement. I suggest using color thresholding inRange then get contours. Canny blur, canny, 20, 40, 3, true Imgcodecs. First time here? Check out the FAQ! Hi there! Please sign in help. Bug in findContours or convexHull or convexityDefects. Program crashes during findContours execution. The values I wrote in my answer are just indicative.Īsked: Getting a smooth outline for a picture. But you should first verify the values you are getting for the blobs to create the threshold. Removing contours from an image using Python and OpenCVĪlso, if you don't multiply the result bysquareness will be between 0 and 1, so that condition will never verify. This will allow you to filter some unwanted blobs. For squared blobs you are expected to get values around 0. For triangled blobs you are going to get low values around 0. If I remember correctly, for circled blobs you are expected to get values very close to 1. You can use cv::contourArea to obtain A and cv::arcLength to obtain p. Given a blob, you can calculate the Shape Factor. The reason I ask is because the image won't always be this one because it is a captured frame the cube could be captured closer or further away. Is there a way I can draw around the contours instead of filling them in?Īnd remove contours that aren't roughly the same size around or have almost 90 degree angles? Thanks this helps, however is there a way I could make it more "flexible" like looking if it has some sort of square shape, like the lengths of the sides are the same and or has almost 90 degrees in the contour? What I do is I load the image, gray it, blur it, canny edge detection, dilate it find contours and draw them. Currently, I am at the point where I want to remove any contours that aren't "square" like. My current solution to handle this is so terribly hacked to get it working with TMPro that I want to cry.I am working on a program that extracts the stickers on the puzzle and then later on finds the RGB of them. All this above handled whenever text in the label changes so developers don't need to worry about it.Also Easy Alphabet Arabic has a nice feature to convert latin to arabic numbers. Automatic correction of character offsets (similar to how Easy Alphabet Arabic plugin has a function to correct it).
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It also doesn't correct the font for Arabic so it is unreadable. However it also flips latin numbers which isn't correct. TMPro has support to enable RightToLeft which is good.
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I've been adding Arabic support to my game lately through Text Mesh Pro and I must say that the support currently available is.
