From here download this video so we have the same video file for the test. Make sure to have that mp4 file in the same directory of your python code. Then also make sure to run the python interpreter from the same directory. Then modify the code, ditch waitKey that’s wasting time also without a … Read more
You can install it using binstar: conda install -c menpo opencv
It’s very simple. Use numpy slicing. import cv2 img = cv2.imread(“lenna.png”) crop_img = img[y:y+h, x:x+w] cv2.imshow(“cropped”, crop_img) cv2.waitKey(0)
I have an approach which I think is interesting and a bit different from the rest. The main difference in my approach, compared to some of the others, is in how the image segmentation step is performed–I used the DBSCAN clustering algorithm from Python’s scikit-learn; it’s optimized for finding somewhat amorphous shapes that may not … Read more
First do run these commands inside Terminal/CMD: conda update anaconda-navigator conda update navigator-updater Then the issue for the instruction below will be resolved For windows if you have anaconda installed, you can simply do pip install opencv-python or conda install -c https://conda.binstar.org/menpo opencv if you are on linux you can do : pip install opencv-python … Read more
Well, I decided to workout myself on my question to solve the above problem. What I wanted is to implement a simple OCR using KNearest or SVM features in OpenCV. And below is what I did and how. (it is just for learning how to use KNearest for simple OCR purposes). 1) My first question … Read more
An alternative approach would be to extract features (keypoints) using the scale-invariant feature transform (SIFT) or Speeded Up Robust Features (SURF). You can find a nice OpenCV code example in Java, C++, and Python on this page: Features2D + Homography to find a known object Both algorithms are invariant to scaling and rotation. Since they … Read more