Histogram and Back Projection – OpenCV 3.4 with python 3 Tutorial 28

import cv2 import numpy as np from matplotlib import pyplot as plt original_image = cv2.imread("goalkeeper.jpg") hsv_original = cv2.cvtColor(original_image, cv2.COLOR_BGR2HSV) roi = cv2.imread("pitch_ground.jpg") hsv_roi = cv2.cvtColor(roi, cv2.COLOR_BGR2HSV) hue, saturation, value = cv2.split(hsv_roi) # Histogram ROI roi_hist = cv2.calcHist([hsv_roi], [0, 1], None, [180, 256], [0, 180, 0,…

Mouse Events – OpenCV 3.4 with python 3 Tutorial 27

  Draw circles: import cv2 import numpy as np def mouse_drawing(event, x, y, flags, params): if event == cv2.EVENT_LBUTTONDOWN: print("Left click") circles.append((x, y)) cap = cv2.VideoCapture(0) cv2.namedWindow("Frame") cv2.setMouseCallback("Frame", mouse_drawing) circles = [] while True: _, frame = cap.read() for center_position in circles: cv2.circle(frame, center_position, 5,…

Feature Matching (Brute-Force) – OpenCV 3.4 with python 3 Tutorial 26

Source code: import cv2 import numpy as np img1 = cv2.imread("the_book_thief.jpg", cv2.IMREAD_GRAYSCALE) img2 = cv2.imread("me_holding_book.jpg", cv2.IMREAD_GRAYSCALE) # ORB Detector orb = cv2.ORB_create() kp1, des1 = orb.detectAndCompute(img1, None) kp2, des2 = orb.detectAndCompute(img2, None) # Brute Force Matching bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True) matches = bf.match(des1, des2) matches…

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