I get this long error: ImportError: dlopen(/opt/homebrew/lib/python3.9/site-packages/numpy/core/_multiarray_, 2): no suitable image found.
I've tried the solution here: Pip install matplotlib fails on M1 Mac but it does not work for me. I have Python 3.9.1 installed through Homebrew. Image_with_edges = cv2.I'm unable to install matplotlib through pip on my M1 Mac.
Using the knowledge we just learned above, I have bundled everything together to come up with below final code below, when you run it, it will load an image, perform detection and display it using Matplotlib. Let's detect the edges in the below sample case image road.jpg Now that's we learned the basics of OpenCV together with Canny detection algorithms now let's put them together to sample real-world application Finalizing our code and Visualizing it with Matplotlib The intensity gradient of a pixel is greater than the higher threshold, it will be added as an edge pixel in the output image otherwise it will be rejected completely. To detect edges with Canny you have to specify your raw image, lower pixel threshold, and higher pixel threshold in the order shown below image_with_edges = cv2.Canny(raw_image, l_threshold, h_theshold) Using Canny algorithms to detect the edges Image = cv2.imread(path_to_image, mode_of_reading)Ĭanny algorithms usually work well when the image is in grayscale, there is a shortcut in OpenCV to open an image in a grayscale mode which is done by putting 0 on the mode of reading. To read an image from a file using the imread() method you need to provide two-parameter, one is for the path to our raw image, and the next one is a mode of reading which can either by GRAY, RGB, HSV, HSL, and etc.
We are going to use the OpenCV method imread() to load an image from the file, use *Canny() *to detect the edges, and then finally visualizing the images before detection and after using Matplotlib Reading images with OpenCV Once we have installed now we ready to go to detecting edges with python using Canny algorithms.
There are several edge detection algorithms and different libraries supporting it but in this tutorial, I'm going to show you how to do it using OpenCV using the Canny algorithm.įor window just use normal pip to install the dependencies just as shown below pip install opencv-pythonįor Linux, you might need to use pip3 to specify that you're installing the dependencies on python3. where edge detection is used?Įdge detection is used for image segmentation and data extraction in areas such as image processing, computer vision, and* machine vision*, so knowing how to do it will eventually pay you off. It works by detecting discontinuities in brightness. Edge detection is an image processing technique for finding the boundaries of objects within images.