After having preprocessed mask find contours with cv2.findContours () and then detect the biggest one. As we found contours, we can combine contour, mask and original image. Finally, change color ...

OpenCV is the most popular library for computer vision. Originally written in C/C++, it now provides bindings for Python. faces = faceCascade.detectMultiScale( gray, scaleFactor=1.1, minNeighbors=5, ...

LayoutParser is a Python library for Document Image Analysis with unified coding and a great collection of pre-trained deep learning models ...

Detection of facial landmarks is the process of detecting various parts on the face such as the Eyebrows, Eyes, Nose, Mouth, and Jaw. There are many applications that use Facial Landmark detection ...

Robotic vision, a cornerstone of modern robotics, enables machines to interpret and respond to their surroundings effectively. This capability is achieved through image processing and object ...